Devin Sessions

You are Devin, an interactive command line agent from Cognition. Your job is to use these instructions and the tools available to you to help the user. It is important that you do so earnestly and helpfully, as you are very important to the success of Cognition. Best of luck! We love you. <3 If the user asks for help, you can check your documentation by invoking the Devin skill (if available). Otherwise, this information may be helpful: - /help: list commands - /bug: report a bug to the Devin CLI developers - for support, users can visit https://devin.ai/support When creating new configuration for this tool — including skills, rules, MCP server configs, or any project settings: - Always use the `.devin/` directory for NEW configuration (e.g. `.devin/skills/<name>/SKILL.md`, `.devin/config.json`) - For global (user-level) configuration, use `~/.config/devin/` - Do NOT place new configuration in `.claude/`, `.cursor/`, or other tool-specific directories unless explicitly asked. These are only read for compatibility, not written to. - If the `devin-cli` skill is available, ALWAYS invoke it and explore for detailed documentation on configuration format and options When reading or referencing existing skills, always use the actual source path reported by the skill tool — skills may live in `.devin/`, `.agents/`, or other directories. # Modes The active mode is how the user would like you to act. - Normal (default, if not specified): Full autonomy to use all your tools freely. For example: exploring a codebase, writing or editing code, etc. - Plan: Explore the codebase, ask the user clarifying questions, and then create a plan for what you're going to do next. Do NOT make changes until you're out of this mode and the user has approved the plan. Adhere strictly to the constraints of the active mode to avoid frustrating the user! # Style ## Professional Objectivity Prioritize technical accuracy and truthfulness over validating the user's beliefs. It is best for the user if you honestly apply the same rigorous standards to all ideas and disagree when necessary, even if it may not be what the user wants to hear. Objective guidance and respectful correction are more valuable than false agreement. Whenever there is uncertainty, it's best to investigate to find the truth first rather than instinctively confirming the user's beliefs. ## Tone - Be concise, direct, and to the point. When running commands, briefly explain what you're doing and why so the user can follow along. - Remember that your output will be displayed in a command line interface. Your responses can use Github-flavored markdown for formatting, and will be rendered in a monospace font using the CommonMark specification. - Output text to communicate with the user; all text you output outside of tool use is displayed to the user. Only use tools to complete tasks. Never use tools like exec or code comments as means to communicate with the user during the session. - If you cannot or will not help the user with something, please do not say why or what it could lead to, since this comes across as preachy and annoying. Please offer helpful alternatives if possible, and otherwise keep your response to 1-2 sentences. - Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked. - If the user asks about timelines or estimated completion times for your work, do not give them concrete estimates as you are not able to accurately predict how long it will take you to achieve a task. Instead just say that you will do your best to complete the task as soon as possible. - Avoid guessing. You should verify the real state of the world with your tools before answering the user's questions. <example> user: What command should I run to watch files in the current directory and rebuild? assistant: [use the exec tool to run `ls` and list the files in the current directory, then read docs/commands in the relevant file to find out how to watch files] assistant: npm run dev </example> <example> user: what files are in the directory src/? assistant: [runs ls and sees foo.c, bar.c, baz.c] assistant: foo.c, bar.c, baz.c user: which file contains the implementation of Foo? assistant: [reads foo.c] assistant: src/foo.c contains `struct Foo`, which implements [...] </example> <example> user: can you write tests for this feature assistant: [uses grep and glob search tools to find where similar tests are defined, uses concurrent read file tool use blocks in one tool call to read relevant files at the same time, uses edit file tool to write new tests] </example> ## Proactiveness You are allowed to be proactive, but only when the user asks you to do something. You should strive to strike a balance between: 1. Doing the right thing when asked, including taking actions and follow-up actions 2. Not surprising the user with actions you take without asking For example, if the user asks you how to approach something, you should do your best to explore and answer their question first, but not jump to implementation just yet. ## Handling ambiguous requests When a user request is unclear: - First attempt to interpret the request using available context - Search the codebase for related code, patterns, or documentation that clarifies intent. Also consider searching the web. - If still uncertain after investigation, ask a focused clarifying question ## File references When your output text references specific files or code snippets, use the `<ref_file ... />` and `<ref_snippet ... />` self-closing XML tags to create clickable citations. These tags allow the user to view the referenced code directly in the conversation. Citation format: - `<ref_file file="/absolute/path/to/file" />` - Reference an entire file - `<ref_snippet file="/absolute/path/to/file" lines="start-end" />` - Reference specific lines in a file <example> user: Where are errors from the client handled? assistant: Clients are marked as failed in the `connectToServer` function. <ref_snippet file="/home/ubuntu/repos/project/src/services/process.ts" lines="710-715" /> </example> <example> user: Can you show me the config file? assistant: Here's the configuration file: <ref_file file="/home/ubuntu/repos/project/config.json" /> </example> ## Tool usage policy - When webfetch returns a redirect, immediately follow it with a new request. - When making multiple edits to the same file or related files and you already know what changes are needed, batch them together. When a tool call produces output that is too long, the output will be truncated and the remaining content will be written to a file. You will see a `<truncation_notice>` tag containing the path to the overflow file. You are responsible for reading this file if you need the full output. # Programming Since you live in the user's terminal, a very common use-case you will get is writing code. Fortunately, you've been extensively trained in software engineering and are well-equipped to help them out! ## Existing Conventions When making changes to files, first understand the codebase's code conventions. Explore dependencies, references, and related system to understand the codebase's patterns and abstractions. Mimic code style, use existing libraries and utilities, and follow existing patterns. - NEVER assume that a given library is available, even if it is well known. Whenever you write code that uses a library or framework, first check that this codebase already uses the given library. For example, you might look at neighboring files, or check the package.json (or cargo.toml, and so on depending on the language). If you're adding a dependency prefer running the package manager command (e.g. npm add or cargo add) instead of editing the file. - When adding a new dependency, strongly prefer a version published at least 7 days ago. Newly published versions have not been vetted and a non-trivial fraction of supply chain attacks are caught and yanked within the first few days. Avoid floating ranges (`latest`, `*`, unbounded `>=`) that auto-resolve to brand-new releases. - When you create a new component, first look at existing components to see how they're written; then consider framework choice, naming conventions, typing, and other conventions. - When you edit a piece of code, first look at the code's surrounding context (especially its imports) to understand the code's choice of frameworks and libraries. Then consider how to make the given change in a way that is most idiomatic. - Always follow security best practices. Never introduce code that exposes or logs secrets and keys. Never commit secrets or keys to the repository. Never modify repository security policies or compliance controls (e.g. `minimumReleaseAge`, `minimumReleaseAgeExclude`, branch protection configs, `.npmrc` security settings) to work around CI or build failures — escalate to the user instead. Unless otherwise specified (even if the task seems silly), assume the code is for a real production task. ## Code style - IMPORTANT: Do NOT add or remove comments unless asked! If you find that you've accidentally deleted an existing comment, be sure to put it back. - Default to writing compact code – collapse duplicate else branches, avoid unnecessary nesting, and share abstractions. - Follow idiomatic conventions for the language you're writing. - Avoid excessive & verbose error handling in your code. Errors should be handled, but not every line needs to be try/catched. Think about the right error boundaries (and look at existing code for error handling style) ## Debugging When debugging issues: - First reproduce the problem reliably - Trace the code path to understand the flow - Add targeted logging or print statements to isolate the issue - Identify the root cause before attempting fixes - Verify the fix addresses the root cause, not just symptoms ## Workflow You should generally prefer to implement new features or fix bugs as follows... 1. If the project has test infrastructure, write a failing test to show the bug 2. Fix the bug 3. Ensure that the test now passes Working this way makes it easier to tell if you've actually fixed the bug, and saves you from needing to verify later. ## Git ### Creating commits 1. Run in parallel: `git status`, `git diff`, `git log` (to match commit style) 2. Draft a concise commit message focusing on "why" not "what". Check for sensitive info. 3. Stage files and commit with this format: ``` git commit -m "$(cat <<'EOF' Commit message here. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> EOF )" ``` 4. If pre-commit hooks modify files and the commit fails, stage the modified files and retry the commit. ### Creating pull requests Use `gh` for all GitHub operations. Run in parallel: `git status`, `git diff`, `git log`, `git diff main...HEAD` Review ALL commits (not just latest), then create PR: ``` gh pr create --title "title" --body "$(cat <<'EOF' ## Summary <bullet points> #### Test plan <checklist> Generated with [Devin](https://devin.ai) EOF )" ``` ### Git rules - NEVER update git config - NEVER use `-i` flags (interactive mode not supported) - DO NOT push unless explicitly asked - DO NOT commit if no changes exist # Task Management You have access to the todo_write tool to help you manage and plan tasks. Use this tool VERY frequently to ensure that you are tracking your tasks and giving the user visibility into your progress. This tool is also EXTREMELY helpful for planning tasks, and for breaking down larger complex tasks into smaller steps. If you do not use this tool when planning, you may forget to do important tasks - and that is unacceptable. It is critical that you mark todos as completed as soon as you are done with a task. Do not batch up multiple tasks before marking them as completed. Examples: <example> user: Run the build and fix any type errors assistant: I'm going to use the todo_write tool to write the following items to the todo list: - Run the build - Fix any type errors I'm now going to run the build using exec. Looks like I found 10 type errors. I'm going to use the todo_write tool to write 10 items to the todo list. marking the first todo as in_progress Let me start working on the first item... The first item has been fixed, let me mark the first todo as completed, and move on to the second item... .. .. </example> In the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors. <example> user: Help me write a new feature that allows users to track their usage metrics and export them to various formats assistant: I'll help you implement a usage metrics tracking and export feature. Let me first use the todo_write tool to plan this task. Adding the following todos to the todo list: 1. Research existing metrics tracking in the codebase 2. Design the metrics collection system 3. Implement core metrics tracking functionality 4. Create export functionality for different formats Let me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that. I'm going to search for any existing metrics or telemetry code in the project. I've found some existing telemetry code. Let me mark the first todo as in_progress and start designing our metrics tracking system based on what I've learned... [Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go] </example> Users may configure 'hooks', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including <user-prompt-submit-hook>, as coming from the user. If you get blocked by a hook, determine if you can adjust your actions in response to the blocked message. If not, ask the user to check their hooks configuration. ## Completing Tasks The user will primarily request you perform software engineering tasks. This includes solving bugs, adding new functionality, refactoring code, explaining code, and more. For these tasks the following steps are recommended: - Use the todo_write tool to plan the task if required - Use the available search tools to understand the codebase and the user's query. You are encouraged to use the search tools extensively both in parallel and sequentially. - Before making changes, thoroughly explore the codebase to understand the architecture, patterns, and related systems. Read relevant files, trace dependencies, and understand how components interact. - Implement the solution using all tools available to you ## Verification Before considering a task complete, verify your work. Use judgment based on what you changed - optimize for fast iteration: - Check for project-specific verification instructions in project rules files (`AGENTS.md`, or similar) - Run relevant verification steps based on the scope of changes (lint, typecheck, build, tests) - For isolated functionality, consider a temporary test file to verify behavior, then delete it - Self-critique: review changes for edge cases and refine as needed - If you cannot find verification commands, ask the user and suggest saving them to a project config file ## Saving learned information If you discover useful project information (build commands, test commands, verification steps, user preferences, ...) that isn't already documented: - If a rules file exists (`AGENTS.md`, etc.), append to it - Otherwise, create `AGENTS.md` in the current directory with the learned information ## Error recovery When encountering errors (failed commands, build failures, test failures): - Keep trying different approaches to resolve the issue - Search for similar issues in the codebase or documentation - Only ask the user for help as a last resort after exhausting reasonable options - Exception: Always ask the user for help with authentication issues, project configuration changes, or permission problems ## System Guidance You may receive `<system_guidance>` messages containing hints, reminders, or contextual guidance before you take action. These notes are injected by the system to help you make better decisions. Pay attention to their content but do not acknowledge or respond to them directly—simply incorporate their guidance into your actions. # Tool Tips ## Shell NEVER invoke `rg`, `grep`, or `find` as shell commands — use the provided search tools instead. They have been optimized for correct permissions and access. ## File-related tools - read can read images (PNG, JPG, etc) - the contents are presented visually. - For Jupyter notebooks (.ipynb files), use notebook_read instead of read. - Speculatively read multiple files as a batch when potentially useful. - Do NOT create documentation files to describe your changes or plan. Exception: persistent project info files like `AGENTS.md` are allowed. # Safety IMPORTANT: Assist with defensive security tasks only. Refuse to create, modify, or improve code that may be used maliciously. Do not assist with credential discovery or harvesting, including bulk crawling for SSH keys, browser cookies, or cryptocurrency wallets. Allow security analysis, detection rules, vulnerability explanations, defensive tools, and security documentation. IMPORTANT: You must NEVER generate or guess URLs for the user unless you are confident that the URLs are for helping the user with programming. You may use URLs provided by the user in their messages or local files. ## Destructive Operations NEVER perform irreversible destructive operations without explicit user confirmation for that specific action, even if you have permission to run the command. This includes: - Deleting or truncating database tables, dropping schemas, bulk-deleting rows - `rm -rf`, deleting directories, or removing files you did not just create - Force-pushing, rewriting git history, deleting branches, checking out over uncommitted changes, or bypassing commit hooks - Sending emails, making payments, or calling APIs with real-world side effects If a destructive step is required, STOP and describe exactly what you are about to run and why, then wait for the user. Do not assume a previous approval extends to a new destructive operation. If you realize you have already caused data loss, say so immediately rather than attempting to hide or quietly repair it. ## Available MCP Servers (for third-party tools) {"servers":[{"name":"playwright"},{"name":"fff","description":"FFF is a fast file finder with frecency-ranked results (frequent/recent files first, git-dirty files boosted).\n\n## Which Tool Should I Use?\n\n- **grep**: DEFAULT tool. Searches file CONTENTS -- definitions, usage, patterns. Use when you have a specific name or pattern.\n- **find_files**: Explores which files/modules exist for a topic. Use when you DON'T have a specific identifier or LOOKING FOR A FILE.\n- **multi_grep**: OR logic across multiple patterns. Use for case variants (e.g. ['PrepareUpload', 'prepare_upload']), or when you need to search 2+ different identifiers at once.\n\n## Core Rules\n\n### 1. Search BARE IDENTIFIERS only\nGrep matches single lines. Search for ONE identifier per query:\n + 'InProgressQuote' -> finds definition + all usages\n + 'ActorAuth' -> finds enum, struct, all call sites\n x 'load.*metadata.*InProgressQuote' -> regex spanning multiple tokens, 0 results\n x 'ctx.data::<ActorAuth>' -> code syntax, too specific, 0 results\n x 'struct ActorAuth' -> adding keywords narrows results, misses enums/traits/type aliases\n x 'TODO.*#\\d+' -> complex regex, use simple 'TODO' then filter visually\n\n### 2. NEVER use regex unless you truly need alternation\nPlain text search is faster and more reliable. Regex patterns like `.*`, `\\d+`, `\\s+` almost always return 0 results because they try to match complex patterns within single lines.\nIf you need OR logic, use multi_grep with literal patterns instead of regex alternation.\n\n### 3. Stop searching after 2 greps -- READ the code\nAfter 2 grep calls, you have enough file paths. Read the top result to understand the code.\nDo NOT keep grepping with variations. More greps != better understanding.\n\n### 4. Use multi_grep for multiple identifiers\nWhen you need to find different names (e.g. snake_case + PascalCase, or definition + usage patterns), use ONE multi_grep call instead of sequential greps:\n + multi_grep(['ActorAuth', 'PopulatedActorAuth', 'actor_auth'])\n x grep 'ActorAuth' -> grep 'PopulatedActorAuth' -> grep 'actor_auth' (3 calls wasted)\n\n## Workflow\n\n**Have a specific name?** -> grep the bare identifier.\n**Need multiple name variants?** -> multi_grep with all variants in one call.\n**Exploring a topic / finding files?** -> find_files.\n**Got results?** -> Read the top file. Don't grep again.\n\n## Constraint Syntax\n\nFor grep: constraints go INLINE, prepended before the search text.\nFor multi_grep: constraints go in the separate 'constraints' parameter.\n\nConstraints MUST match one of these formats:\n Extension: '*.rs', '*.{ts,tsx}'\n Directory: 'src/', 'quotes/'\n Filename: 'schema.rs', 'src/main.rs'\n Exclude: '!test/', '!*.spec.ts'\n\n! Bare words without extensions are NOT constraints. 'quote TODO' does NOT filter to quote files -- it searches for 'quote TODO' as text.\n + 'schema.rs TODO' -> searches for 'TODO' in files schema.rs\n + 'quotes/ TODO' -> searches for 'TODO' in the quotes/ directory\n x 'quote TODO' -> searches for literal text 'quote TODO', finds nothing\n\nPrefer broad constraints:\n + '*.rs query' -> file type\n + 'quotes/ query' -> top-level dir\n x 'quotes/storage/db/ query' -> too specific, misses results\n\n## Output Format\n\ngrep results auto-expand definitions with body context (struct fields, function signatures).\nThis often provides enough information WITHOUT a follow-up Read call.\nLines marked with | are definition body context. [def] marks definition files.\n-> Read suggestions point to the most relevant file -- follow them when you need more context.\n\n## Default Exclusions\n\nIf results are cluttered with irrelevant files, exclude them:\n !tests/ - exclude tests directory\n !*.spec.ts - exclude test files\n !generated/ - exclude generated code"}]} IMPORTANT: You MUST call `mcp_list_tools` for a server before calling `mcp_call_tool` on it. This is required to discover the available tools and their correct input schemas. Never guess tool names or arguments — always list tools first.

Available subagent profiles for the `run_subagent` tool. Choose the most appropriate profile based on whether the task requires write access: - `subagent_explore`: Read-only subagent for codebase exploration, research, and search. Use this when you need to find code, understand architecture, trace dependencies, or answer questions about the codebase. This profile has read-only access (grep, glob, read, web_search) and cannot edit files. - `subagent_general`: General-purpose subagent with full tool access (read, write, edit, exec). Use this when the subagent needs to make code changes, run commands with side effects, or perform any task that requires write access. In the foreground it can prompt for tool approval; in the background, unapproved tools are auto-denied.

## Parallel tool calls - You have the capability to call multiple tools in a single response--when multiple independent pieces of information are requested, batch your tool calls together for optimal performance. - For example, if you need to run `git status` and `git diff`, return an array of all the arguments of the 2 read-only tool calls to run the calls in parallel. - Always run parallel tool calls extensively when doing independent actions, especially when reading files, analyzing directories, searching on the web, grepping and searching across the codebase. - Never perform dependent terminal commands or writes in parallel.

<system_info> The following information is automatically generated context about your current environment. Current workspace directories: /Users/root1 (cwd) Platform: macos OS Version: Darwin 25.6.0 Today's date: Sunday, 2026-07-05 </system_info>

<rules type="always-on"> <rule name="AGENTS" path="/Users/root1/AGENTS.md"> # Agent Preferences - If I ever paste in a YouTube link, use yt-dlp to summarize the video. - get the autogenerrated captions to do this - for testing that involves urls, start with example.com rather than about:blank - For tasks that may benefit from computer use (controlling macOS apps, windows, clicking, typing, etc.), use the background-computer-use skill to control local macOS apps through the BackgroundComputerUse API - Secrets/tokens live in `~/.env` (e.g. `HF_TOKEN` for Hugging Face). Source it before use: `set -a; . ~/.env; set +a` ## File search via fff MCP For any file search or grep in the current git-indexed project directory, prefer the **fff** MCP tools (`mcp__fff__grep`, `mcp__fff__find_files`, `mcp__fff__multi_grep`) over the built-in grep/glob tools. fff is frecency-ranked, git-aware, and more token-efficient. Rules the fff server enforces (follow them to avoid 0-result queries): - Search BARE IDENTIFIERS only — one identifier per `grep` query. No `load.*metadata.*Foo` style regex. - Don't use regex unless you truly need alternation; `.*`, `\d+`, `\s+` almost always return 0 results. - After 2 grep calls, stop and READ the top result instead of grepping with more variations. - Use `multi_grep` for OR logic across multiple identifiers (e.g. snake_case + PascalCase variants) in one call. - Have a specific name → `grep`. Exploring a topic / finding files → `find_files`. The `fff-mcp` binary lives at `/Users/root1/.local/bin/fff-mcp` and is registered at user scope in `~/.config/devin/config.json`. It refuses to run in `$HOME` or `/` — it must be launched from a project directory (Devin does this automatically based on cwd). Update with: `curl -fsSL https://raw.githubusercontent.com/dmtrKovalenko/fff.nvim/main/install-mcp.sh | bash` ## X/Twitter scraping via logged-in browser session When I need to scrape X/Twitter data (following, followers, tweets, user info, etc.), the cleanest path is to use the **Playwright MCP** browser session with my own logged-in x.com account, rather than spinning up twscrape's account-pool flow. twscrape needs the `auth_token` HttpOnly cookie which JS cannot read from `document.cookie`; the browser session attaches all cookies automatically. ### Flow 1. `mcp_list_tools` on the `playwright` server, then `browser_navigate` to `https://x.com`. 2. If not logged in, ask me to log in manually in the opened window (don't handle my password). 3. Once on `https://x.com/home`, read `ct0` from `document.cookie`: `document.cookie.match(/ct0=([^;]+)/)[1]` 4. Call X's GraphQL endpoints directly via `fetch()` inside `browser_evaluate`. Required headers: - `authorization: Bearer AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA` (the public web-app bearer token) - `x-csrf-token: <ct0>` - `x-twitter-auth-type: OAuth2Session` - `x-twitter-active-user: yes` - `content-type: application/json` 5. Paginate timelines by reading `content.cursorType === "Bottom"` entries and passing the value back as `variables.cursor` until it stops changing. ### Key endpoints (queryId/OperationName) - `UserByScreenName` → `681MIj51w00Aj6dY0GXnHw` (resolve @handle → numeric rest_id) - `Following` → `OLm4oHZBfqWx8jbcEhWoFw` - `Followers` → `9jsVJ9l2uXUIKslHvJqIhw` - `UserTweets` → `RyDU3I9VJtPF-Pnl6vrRlw` - `SearchTimeline` → `yIphfmxUO-hddQHKIOk9tA` - `TweetDetail` → `meGUdoK_ryVZ0daBK-HJ2g` URL pattern: `https://x.com/i/api/graphql/<queryId>/<OpName>?variables=<enc>&features=<enc>` ### Response schema notes (current X web build) - User objects now put `screen_name` / `name` under `core`, NOT `legacy.screen_name`. twscrape's parser still reads `legacy.screen_name` and returns empty — needs updating. - The user `id` field is base64-encoded like `VXNlcjoxNDYwMjgzOTI1` (= `User:1460283925`). Decode with `atob(u.id).split(':')[1]` to get the numeric rest_id. `u.rest_id` may also be present directly. - `is_blue_verified` is the verified flag. `legacy.followers_count`, `legacy.description` still exist under `legacy`. - Filter timeline entries by `content.entryType === "TimelineTimelineItem"` and skip `cursor-`, `messageprompt-`, `module-`, `who-to-follow-` entryIds. ### Features dict Use the full `GQL_FEATURES` block from twscrape's `api.py` — without it X returns `(336) The following features cannot be null`. Pass it URL-encoded as the `features` param. ### Where things live - Output CSV: `~/Downloads/utilities/sdand_following.csv` (1613 rows: #, id, screen_name, name, verified, followers, bio) - Output JSON: `~/Downloads/utilities/sdand_following_final.json` (double-encoded JSON string; parse with `json.loads(json.loads(raw))`) - twscrape repo was cloned to `~/Downloads/utilities/twscrape/` for reference, then deleted after the flow was reverse-engineered. Re-clone from https://github.com/vladkens/twscrape.git if needed. ## Fast Whisper transcription on Modal (A10G) For transcribing long-form audio/video (interviews, podcasts, X/Twitter videos), use the utility at `~/Downloads/utilities/whisper_x/whisper_transcribe.py`. It does the full pipeline: URL → yt-dlp download → ffmpeg audio extract → Modal volume upload → faster-whisper on A10G → JSON + TXT output. Validated at **2.3 min wall clock for 65 min of audio** (no caching at any layer). ### Usage Shell alias (defined in `~/.zshrc`): `whisper` ```bash # Transcribe an X/Twitter video (picks first playlist item) whisper "https://x.com/.../status/123" # Pick a specific playlist item, use a smaller model whisper "https://x.com/..." --playlist-item 2 --model-size medium # Transcribe a local audio file whisper /path/to/audio.mp3 --name my-podcast # Custom output dir + keep downloaded source whisper "https://..." --outdir ./transcripts --keep-source ``` Transcript text goes to stdout (pipe with `| pbcopy`); structured JSON + readable TXT saved to `<outdir>/<name>.json` and `<outdir>/<name>.txt`. ### Key optimizations (vs naive T4 run that took 11.7 min) - **A10G GPU** (~8x fp16 throughput vs T4; Modal ~$0.60/hr vs ~$0.16/hr — pennies for short jobs) - **`BatchedInferencePipeline`** with `batch_size=16` — batches encoder/decoder across chunks (2-4x) - **`beam_size=1`** (greedy) — ~2x faster, negligible WER increase for conversational speech - **`vad_filter=True`** — skips silence segments - **`compute_type="float16"`** — halves memory bandwidth - **No caching**: `force_build=True` on apt/pip steps + unique `download_root` per run forces fresh image rebuild + fresh HF model download every time ### Pinned versions (must match) - `faster-whisper==1.1.1` (provides `BatchedInferencePipeline`) - `ctranslate2==4.8.0` - Base image: `nvidia/cuda:12.6.3-cudnn-runtime-ubuntu22.04` (provides `libcublas.so.12`; `debian_slim` fails with `RuntimeError: Library libcublas.so.12 is not found`) ### Audio prep (done automatically by the utility) ```bash ffmpeg -y -i input.mp4 -vn -ac 1 -ar 16000 -c:a aac -b:a 64k audio.m4a ``` Mono 16kHz 64kbps AAC — a 65-min video (151 MB stream) becomes ~35 MB audio. ### X/Twitter download notes - Tweet URLs can contain **playlists** (multiple videos). Use `--playlist-item N` to pick one. - Always use `-f bestaudio/best` to avoid downloading multi-GB high-bitrate video streams. - A 65-min interview's video variant can be 2.8+ GB; audio-only is ~63 MB (128 kbps). ### Where things live - Utility: `~/Downloads/utilities/whisper_x/whisper_transcribe.py` - Strategy doc: `~/Downloads/utilities/whisper_x/STRATEGY.md` (full optimization breakdown) - Modal app (standalone): `~/Downloads/utilities/whisper_x/transcribe_fast.py` - Modal volume: `whisper-audio` (created automatically; holds uploaded audio files) - Modal profile: `aidenhuang-personal` (workspace with GPU access) </rule> <rule name="global_rules" path="/Users/root1/.codeium/windsurf/memories/global_rules.md"> </rule> </rules>

<available_skills> The following skills can be invoked using the `skill` tool. When ANY skill — built-in OR repository — clearly matches the user's request or the current task, invoke it with the `skill` tool immediately at the start of the session. If more than one skill matches, invoke ALL of them (issue the `skill` calls in parallel) — do not stop at the single most obvious one. - **background-computer-use**: Launch and use the local BackgroundComputerUse macOS runtime through its self-documenting loopback API. Use when Codex needs to control local macOS apps or windows, inspect screenshots and Accessibility state, click/type/scroll/press keys, use the visible cursor, or help install/start the BackgroundComputerUse API from a skill. (source: /Users/root1/.devin/skills/background-computer-use/SKILL.md) - **workers-best-practices**: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/workers-best-practices/SKILL.md) - **turnstile-spin**: Set up Cloudflare Turnstile end-to-end in a project — scan the codebase, create the widget via the Cloudflare API, deploy the managed siteverify Worker, write the frontend snippets, validate, and persist the skill. Load this when a user asks to add Turnstile, set up CAPTCHA, protect a form from bots, or fix a Turnstile integration. Mirrors developers.cloudflare.com/turnstile/spin. (source: /Users/root1/.agents/skills/turnstile-spin/SKILL.md) - **cloudflare-email-service**: Send and receive transactional emails with Cloudflare Email Service (Email Sending + Email Routing). Use when building email sending (Workers binding or REST API), email routing, Agents SDK email handling, or integrating email into any app — Workers, Node.js, Python, Go, etc. Also use for email deliverability, SPF/DKIM/DMARC, wrangler email setup, MCP email tools, or when a coding agent needs to send emails. Even for simple requests like "add email to my Worker" — this skill has critical config details. (source: /Users/root1/.agents/skills/cloudflare-email-service/SKILL.md) - **cloudflare-one**: Guides Cloudflare One Zero Trust and SASE work across Access, Gateway, WARP, Tunnel, Cloudflare WAN, DLP, CASB, device posture, and identity. Use when designing, configuring, troubleshooting, or reviewing Cloudflare One deployments. Retrieval-first: use current Cloudflare docs/API schemas instead of embedded product docs. (source: /Users/root1/.agents/skills/cloudflare-one/SKILL.md) - **wrangler**: Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/wrangler/SKILL.md) - **cloudflare**: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/cloudflare/SKILL.md) - **cloudflare-one-migrations**: Plans migrations from Zscaler ZIA/ZPA, Palo Alto, legacy VPN, SWG, or SASE stacks to Cloudflare One. Use for migration assessments, policy mapping, rollout plans, and parity/gap analysis. (source: /Users/root1/.agents/skills/cloudflare-one-migrations/SKILL.md) - **agents-sdk**: Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, chat applications, voice agents, or browser automation. Covers Agent class, state management, callable RPC, Workflows, durable execution, queues, retries, observability, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/agents-sdk/SKILL.md) - **durable-objects**: Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/durable-objects/SKILL.md) - **find-skills**: Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill. (source: /Users/root1/.agents/skills/find-skills/SKILL.md) - **web-perf**: Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (LCP, INP, CLS) and supplementary metrics (FCP, TBT, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge. (source: /Users/root1/.agents/skills/web-perf/SKILL.md) - **sandbox-sdk**: Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/sandbox-sdk/SKILL.md) - **devin-cli**: Look up Devin CLI documentation (skills, extensibility, configuration, commands, models, troubleshooting) (source: /Users/root1/.local/share/devin/cli/_versions/3000.1.23/share/devin/docs) - **declarative-repo-setup**: Generate and verify a working environment.yaml (Devin snapshot-setup blueprint) for a repo (source: builtin:drs) </available_skills>

Output from command in shell c1b50d: WARNING: Your yt-dlp version (2025.12.08) is older than 90 days! It is strongly recommended to always use the latest version. You installed yt-dlp with pip or using the wheel from PyPi; Use that to update. To suppress this warning, add --no-update to your command/config. [youtube] Extracting URL: https://www.youtube.com/watch?v=-GvDP1sOyS4 [youtube] -GvDP1sOyS4: Downloading webpage [youtube] -GvDP1sOyS4: Downloading tv client config [youtube] -GvDP1sOyS4: Downloading player 4918c89a-main [youtube] -GvDP1sOyS4: Downloading tv player API JSON [youtube] -GvDP1sOyS4: Downloading android sdkless player API JSON [youtube] [jsc:deno] Solving JS challenges using deno WARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS WARNING: [youtube] -GvDP1sOyS4: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS [info] Available automatic captions for -GvDP1sOyS4: Language Name Formats ab Abkhazian vtt, srt, ttml, srv3, srv2, srv1, json3 aa Afar vtt, srt, ttml, srv3, srv2, srv1, json3 af Afrikaans vtt, srt, ttml, srv3, srv2, srv1, json3 ak Akan vtt, srt, ttml, srv3, srv2, srv1, json3 sq Albanian vtt, srt, ttml, srv3, srv2, srv1, json3 am Amharic vtt, srt, ttml, srv3, srv2, srv1, json3 ar Arabic vtt, srt, ttml, srv3, srv2, srv1, json3 hy Armenian vtt, srt, ttml, srv3, srv2, srv1, json3 as Assamese vtt, srt, ttml, srv3, srv2, srv1, json3 ay Aymara vtt, srt, ttml, srv3, srv2, srv1, json3 az Azerbaijani vtt, srt, ttml, srv3, srv2, srv1, json3 bn Bangla vtt, srt, ttml, srv3, srv2, srv1, json3 ba Bashkir vtt, srt, ttml, srv3, srv2, srv1, json3 eu Basque vtt, srt, ttml, srv3, srv2, srv1, json3 be Belarusian vtt, srt, ttml, srv3, srv2, srv1, json3 bho Bhojpuri vtt, srt, ttml, srv3, srv2, srv1, json3 bs Bosnian vtt, srt, ttml, srv3, srv2, srv1, json3 br Breton vtt, srt, ttml, srv3, srv2, srv1, json3 bg Bulgarian vtt, srt, ttml, srv3, srv2, srv1, json3 my Burmese vtt, srt, ttml, srv3, srv2, srv1, json3 ca Catalan vtt, srt, ttml, srv3, srv2, srv1, json3 ceb Cebuano vtt, srt, ttml, srv3, srv2, srv1, json3 zh-Hans Chinese (Simplified) vtt, srt, ttml, srv3, srv2, srv1, json3 zh-Hant Chinese (Traditional) vtt, srt, ttml, srv3, srv2, srv1, json3 co Corsican vtt, srt, ttml, srv3, srv2, srv1, json3 hr Croatian vtt, srt, ttml, srv3, srv2, srv1, json3 cs Czech vtt, srt, ttml, srv3, srv2, srv1, json3 da Danish vtt, srt, ttml, srv3, srv2, srv1, json3 dv Divehi vtt, srt, ttml, srv3, srv2, srv1, json3 nl Dutch vtt, srt, ttml, srv3, srv2, srv1, json3 dz Dzongkha vtt, srt, ttml, srv3, srv2, srv1, json3 en-orig English (Original) vtt, srt, ttml, srv3, srv2, srv1, json3 en English vtt, srt, ttml, srv3, srv2, srv1, json3 eo Esperanto vtt, srt, ttml, srv3, srv2, srv1, json3 et Estonian vtt, srt, ttml, srv3, srv2, srv1, json3 ee Ewe vtt, srt, ttml, srv3, srv2, srv1, json3 fo Faroese vtt, srt, ttml, srv3, srv2, srv1, json3 fj Fijian vtt, srt, ttml, srv3, srv2, srv1, json3 fil Filipino vtt, srt, ttml, srv3, srv2, srv1, json3 fi Finnish vtt, srt, ttml, srv3, srv2, srv1, json3 fr French vtt, srt, ttml, srv3, srv2, srv1, json3 gaa Ga vtt, srt, ttml, srv3, srv2, srv1, json3 gl Galician vtt, srt, ttml, srv3, srv2, srv1, json3 lg Ganda vtt, srt, ttml, srv3, srv2, srv1, json3 ka Georgian vtt, srt, ttml, srv3, srv2, srv1, json3 de German vtt, srt, ttml, srv3, srv2, srv1, json3 el Greek vtt, srt, ttml, srv3, srv2, srv1, json3 gn Guarani vtt, srt, ttml, srv3, srv2, srv1, json3 gu Gujarati vtt, srt, ttml, srv3, srv2, srv1, json3 ht Haitian Creole vtt, srt, ttml, srv3, srv2, srv1, json3 ha Hausa vtt, srt, ttml, srv3, srv2, srv1, json3 haw Hawaiian vtt, srt, ttml, srv3, srv2, srv1, json3 iw Hebrew vtt, srt, ttml, srv3, srv2, srv1, json3 hi Hindi vtt, srt, ttml, srv3, srv2, srv1, json3 hmn Hmong vtt, srt, ttml, srv3, srv2, srv1, json3 hu Hungarian vtt, srt, ttml, srv3, srv2, srv1, json3 is Icelandic vtt, srt, ttml, srv3, srv2, srv1, json3 ig Igbo vtt, srt, ttml, srv3, srv2, srv1, json3 id Indonesian vtt, srt, ttml, srv3, srv2, srv1, json3 iu Inuktitut vtt, srt, ttml, srv3, srv2, srv1, json3 ga Irish vtt, srt, ttml, srv3, srv2, srv1, json3 it Italian vtt, srt, ttml, srv3, srv2, srv1, json3 ja Japanese vtt, srt, ttml, srv3, srv2, srv1, json3 jv Javanese vtt, srt, ttml, srv3, srv2, srv1, json3 kl Kalaallisut vtt, srt, ttml, srv3, srv2, srv1, json3 kn Kannada vtt, srt, ttml, srv3, srv2, srv1, json3 kk Kazakh vtt, srt, ttml, srv3, srv2, srv1, json3 kha Khasi vtt, srt, ttml, srv3, srv2, srv1, json3 km Khmer vtt, srt, ttml, srv3, srv2, srv1, json3 rw Kinyarwanda vtt, srt, ttml, srv3, srv2, srv1, json3 ko Korean vtt, srt, ttml, srv3, srv2, srv1, json3 kri Krio vtt, srt, ttml, srv3, srv2, srv1, json3 ku Kurdish vtt, srt, ttml, srv3, srv2, srv1, json3 ky Kyrgyz vtt, srt, ttml, srv3, srv2, srv1, json3 lo Lao vtt, srt, ttml, srv3, srv2, srv1, json3 la Latin vtt, srt, ttml, srv3, srv2, srv1, json3 lv Latvian vtt, srt, ttml, srv3, srv2, srv1, json3 ln Lingala vtt, srt, ttml, srv3, srv2, srv1, json3 lt Lithuanian vtt, srt, ttml, srv3, srv2, srv1, json3 lua Luba-Lulua vtt, srt, ttml, srv3, srv2, srv1, json3 luo Luo vtt, srt, ttml, srv3, srv2, srv1, json3 lb Luxembourgish vtt, srt, ttml, srv3, srv2, srv1, json3 mk Macedonian vtt, srt, ttml, srv3, srv2, srv1, json3 mg Malagasy vtt, srt, ttml, srv3, srv2, srv1, json3 ms Malay vtt, srt, ttml, srv3, srv2, srv1, json3 ml Malayalam vtt, srt, ttml, srv3, srv2, srv1, json3 mt Maltese vtt, srt, ttml, srv3, srv2, srv1, json3 gv Manx vtt, srt, ttml, srv3, srv2, srv1, json3 mi Māori vtt, srt, ttml, srv3, srv2, srv1, json3 mr Marathi vtt, srt, ttml, srv3, srv2, srv1, json3 mn Mongolian vtt, srt, ttml, srv3, srv2, srv1, json3 mfe Morisyen vtt, srt, ttml, srv3, srv2, srv1, json3 ne Nepali vtt, srt, ttml, srv3, srv2, srv1, json3 new Newari vtt, srt, ttml, srv3, srv2, srv1, json3 nso Northern Sotho vtt, srt, ttml, srv3, srv2, srv1, json3 no Norwegian vtt, srt, ttml, srv3, srv2, srv1, json3 ny Nyanja vtt, srt, ttml, srv3, srv2, srv1, json3 oc Occitan vtt, srt, ttml, srv3, srv2, srv1, json3 or Odia vtt, srt, ttml, srv3, srv2, srv1, json3 om Oromo vtt, srt, ttml, srv3, srv2, srv1, json3 os Ossetic vtt, srt, ttml, srv3, srv2, srv1, json3 pam Pampanga vtt, srt, ttml, srv3, srv2, srv1, json3 ps Pashto vtt, srt, ttml, srv3, srv2, srv1, json3 fa Persian vtt, srt, ttml, srv3, srv2, srv1, json3 pl Polish vtt, srt, ttml, srv3, srv2, srv1, json3 pt Portuguese vtt, srt, ttml, srv3, srv2, srv1, json3 pt-PT Portuguese (Portugal) vtt, srt, ttml, srv3, srv2, srv1, json3 pa Punjabi vtt, srt, ttml, srv3, srv2, srv1, json3 qu Quechua vtt, srt, ttml, srv3, srv2, srv1, json3 ro Romanian vtt, srt, ttml, srv3, srv2, srv1, json3 rn Rundi vtt, srt, ttml, srv3, srv2, srv1, json3 ru Russian vtt, srt, ttml, srv3, srv2, srv1, json3 sm Samoan vtt, srt, ttml, srv3, srv2, srv1, json3 sg Sango vtt, srt, ttml, srv3, srv2, srv1, json3 sa Sanskrit vtt, srt, ttml, srv3, srv2, srv1, json3 gd Scottish Gaelic vtt, srt, ttml, srv3, srv2, srv1, json3 sr Serbian vtt, srt, ttml, srv3, srv2, srv1, json3 crs Seselwa Creole French vtt, srt, ttml, srv3, srv2, srv1, json3 sn Shona vtt, srt, ttml, srv3, srv2, srv1, json3 sd Sindhi vtt, srt, ttml, srv3, srv2, srv1, json3 si Sinhala vtt, srt, ttml, srv3, srv2, srv1, json3 sk Slovak vtt, srt, ttml, srv3, srv2, srv1, json3 sl Slovenian vtt, srt, ttml, srv3, srv2, srv1, json3 so Somali vtt, srt, ttml, srv3, srv2, srv1, json3 st Southern Sotho vtt, srt, ttml, srv3, srv2, srv1, json3 es Spanish vtt, srt, ttml, srv3, srv2, srv1, json3 su Sundanese vtt, srt, ttml, srv3, srv2, srv1, json3 sw Swahili vtt, srt, ttml, srv3, srv2, srv1, json3 ss Swati vtt, srt, ttml, srv3, srv2, srv1, json3 sv Swedish vtt, srt, ttml, srv3, srv2, srv1, json3 tg Tajik vtt, srt, ttml, srv3, srv2, srv1, json3 ta Tamil vtt, srt, ttml, srv3, srv2, srv1, json3 tt Tatar vtt, srt, ttml, srv3, srv2, srv1, json3 te Telugu vtt, srt, ttml, srv3, srv2, srv1, json3 th Thai vtt, srt, ttml, srv3, srv2, srv1, json3 bo Tibetan vtt, srt, ttml, srv3, srv2, srv1, json3 ti Tigrinya vtt, srt, ttml, srv3, srv2, srv1, json3 to Tongan vtt, srt, ttml, srv3, srv2, srv1, json3 ts Tsonga vtt, srt, ttml, srv3, srv2, srv1, json3 tn Tswana vtt, srt, ttml, srv3, srv2, srv1, json3 tum Tumbuka vtt, srt, ttml, srv3, srv2, srv1, json3 tr Turkish vtt, srt, ttml, srv3, srv2, srv1, json3 tk Turkmen vtt, srt, ttml, srv3, srv2, srv1, json3 uk Ukrainian vtt, srt, ttml, srv3, srv2, srv1, json3 ur Urdu vtt, srt, ttml, srv3, srv2, srv1, json3 ug Uyghur vtt, srt, ttml, srv3, srv2, srv1, json3 uz Uzbek vtt, srt, ttml, srv3, srv2, srv1, json3 ve Venda vtt, srt, ttml, srv3, srv2, srv1, json3 vi Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3 war Waray vtt, srt, ttml, srv3, srv2, srv1, json3 cy Welsh vtt, srt, ttml, srv3, srv2, srv1, json3 fy Western Frisian vtt, srt, ttml, srv3, srv2, srv1, json3 wo Wolof vtt, srt, ttml, srv3, srv2, srv1, json3 xh Xhosa vtt, srt, ttml, srv3, srv2, srv1, json3 yi Yiddish vtt, srt, ttml, srv3, srv2, srv1, json3 yo Yoruba vtt, srt, ttml, srv3, srv2, srv1, json3 zu Zulu vtt, srt, ttml, srv3, srv2, srv1, json3 -GvDP1sOyS4 has no subtitles Exit code: 0

Output from command in shell a10f13: WARNING: Your yt-dlp version (2025.12.08) is older than 90 days! It is strongly recommended to always use the latest version. You installed yt-dlp with pip or using the wheel from PyPi; Use that to update. To suppress this warning, add --no-update to your command/config. [youtube] Extracting URL: https://www.youtube.com/watch?v=-GvDP1sOyS4 [youtube] -GvDP1sOyS4: Downloading webpage [youtube] -GvDP1sOyS4: Downloading tv client config [youtube] -GvDP1sOyS4: Downloading player 4918c89a-main [youtube] -GvDP1sOyS4: Downloading tv player API JSON [youtube] -GvDP1sOyS4: Downloading android sdkless player API JSON [youtube] [jsc:deno] Solving JS challenges using deno WARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS WARNING: [youtube] -GvDP1sOyS4: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS [info] -GvDP1sOyS4: Downloading 1 format(s): 139 [info] There are no subtitles for the requested languages Exit code: 0

Output from command in shell b09cee: WARNING: Your yt-dlp version (2025.12.08) is older than 90 days! It is strongly recommended to always use the latest version. You installed yt-dlp with pip or using the wheel from PyPi; Use that to update. To suppress this warning, add --no-update to your command/config. [youtube] Extracting URL: https://www.youtube.com/watch?v=-GvDP1sOyS4 [youtube] -GvDP1sOyS4: Downloading webpage [youtube] -GvDP1sOyS4: Downloading tv client config [youtube] -GvDP1sOyS4: Downloading player 4918c89a-main [youtube] -GvDP1sOyS4: Downloading tv player API JSON [youtube] -GvDP1sOyS4: Downloading android sdkless player API JSON [youtube] [jsc:deno] Solving JS challenges using deno WARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS WARNING: [youtube] -GvDP1sOyS4: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS [info] -GvDP1sOyS4: Downloading subtitles: en [info] -GvDP1sOyS4: Downloading 1 format(s): 139 [info] Writing video subtitles to: 2 Months With Logitech's New Aimbot Mouse (It's Gone) [-GvDP1sOyS4].en.json3 [download] Destination: 2 Months With Logitech's New Aimbot Mouse (It's Gone) [-GvDP1sOyS4].en.json3 [download] 1.00KiB at Unknown B/s (00:00:00) [download] 3.00KiB at Unknown B/s (00:00:00) [download] 7.00KiB at Unknown B/s (00:00:00) [download] 15.00KiB at 7.07MiB/s (00:00:00) [download] 31.00KiB at 3.33MiB/s (00:00:00) [download] 63.00KiB at 3.22MiB/s (00:00:00) [download] 127.00KiB at 3.77MiB/s (00:00:00) [download] 137.27KiB at 3.96MiB/s (00:00:00) [download] 100% of 137.27KiB in 00:00:00 at 1.03MiB/s Exit code: 0

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{ "command": "python3 << 'EOF'\nimport json\n\n# Read the JSON3 file\nwith open('/Users/root1/2 Months With Logitech\\'s New Aimbot Mouse (It\\'s Gone) [-GvDP1sOyS4].en.json3', 'r') as f:\n data = json.load(f)\n\n# Extract all text segments from the events\nfull_text = []\nfor event in data.get('events', []):\n if 'segs' in event:\n for seg in event['segs']:\n if 'utf8' in seg:\n text = seg['utf8']\n # Skip music tags and newlines\n if text and not text.startswith('>>') and text != '\\n':\n full_text.append(text)\n\n# Join the text with spaces\ncaption_text = ' '.join(full_text)\n\n# Print the first 2000 characters to see what we have\nprint(caption_text[:2000])\nprint(f\"\\n... (total length: {len(caption_text)} characters)\")\n\n# Save the full text to a file for easier reading\nwith open('/tmp/caption_text.txt', 'w') as f:\n f.write(caption_text)\n \nprint(\"\\nFull text saved to /tmp/caption_text.txt\")\nEOF" }

Output from command in shell 09598f: The Superlight has the best click technology ever put in a mouse and after two months of daily use is not on my desk anymore. Now, if you're on a Superlight 2 or any other mouse right now you're thinking about upgrading by the end of this you'll either want to sell what you have right now or be really glad you didn't waste any money. Now, when I first got this mouse my reactions felt faster than my brain could process. I was seeing someone in game and before I even actively decided to shoot I was already firing from how fast the actuation is and that part after two months is still there, just not the same intensity. You get used to it, it becomes your normal, that's just how it goes. Now, what changed way more is the settings that I'm currently running. At first I set everything based on what I hated about my prior main the URX actuation on the safer side to avoid misclicks, rapid trigger low, haptics dialed in. Now, that worked fine for gaming but over two months I realized it wasn't enough for daily use. If you don't have perfect tension control all day and after a full day of work and editing I definitely don't, you need to go higher than what feels right at first and I think most people buying this mouse are in the same spot. You're not a pro warming up for three hours before playing, you're jumping in after like a long day and your hands aren't at their best. The biggest setting change that actually made a difference is running left and right click completely different. Left click stays lower for speed, right click way higher with stronger haptics so you don't scope in by accident during fights. One thing I didn't expect is how much easier this mouse is on your hand during long sessions. T ... (total length: 10346 characters) Full text saved to /tmp/caption_text.txt Exit code: 0

<file-view path="/tmp/caption_text.txt" start_line="1" end_line="1" total_lines="1"> 1|The Superlight has the best click technology ever put in a mouse and after two months of daily use is not on my desk anymore. Now, if you're on a Superlight 2 or any other mouse right now you're thinking about upgrading by the end of this you'll either want to sell what you have right now or be really glad you didn't waste any money. Now, when I first got this mouse my reactions felt faster than my brain could process. I was seeing someone in game and before I even actively decided to shoot I was already firing from how fast the actuation is and that part after two months is still there, just not the same intensity. You get used to it, it becomes your normal, that's just how it goes. Now, what changed way more is the settings that I'm currently running. At first I set everything based on what I hated about my prior main the URX actuation on the safer side to avoid misclicks, rapid trigger low, haptics dialed in. Now, that worked fine for gaming but over two months I realized it wasn't enough for daily use. If you don't have perfect tension control all day and after a full day of work and editing I definitely don't, you need to go higher than what feels right at first and I think most people buying this mouse are in the same spot. You're not a pro warming up for three hours before playing, you're jumping in after like a long day and your hands aren't at their best. The biggest setting change that actually made a difference is running left and right click completely different. Left click stays lower for speed, right click way higher with stronger haptics so you don't scope in by accident during fights. One thing I didn't expect is how much easier this mouse is on your hand during long sessions. T... [truncated 8346 chars] </file-view>

Output from command in shell 951c01: The Superlight has the best click technology ever put in a mouse and after two months of daily use is not on my desk anymore. Now, if you're on a Superlight 2 or any other mouse right now you're thinking about upgrading by the end of this you'll either want to sell what you have right now or be really glad you didn't waste any money. Now, when I first got this mouse my reactions felt faster than my brain could process. I was seeing someone in game and before I even actively decided to shoot I was already firing from how fast the actuation is and that part after two months is still there, just not the same intensity. You get used to it, it becomes your normal, that's just how it goes. Now, what changed way more is the settings that I'm currently running. At first I set everything based on what I hated about my prior main the URX actuation on the safer side to avoid misclicks, rapid trigger low, haptics dialed in. Now, that worked fine for gaming but over two months I realized it wasn't enough for daily use. If you don't have perfect tension control all day and after a full day of work and editing I definitely don't, you need to go higher than what feels right at first and I think most people buying this mouse are in the same spot. You're not a pro warming up for three hours before playing, you're jumping in after like a long day and your hands aren't at their best. The biggest setting change that actually made a difference is running left and right click completely different. Left click stays lower for speed, right click way higher with stronger haptics so you don't scope in by accident during fights. One thing I didn't expect is how much easier this mouse is on your hand during long sessions. The buttons [music] need almost no force compared to any mechanical switch and after a few hours you actually notice your fingers aren't as tense. If any of that is something you deal with, that alone is worth knowing about. Clicks and performance though, that part works. My copy has been solid, no random actuation, no sensor spin, no scroll wheel problems, nothing. And if that's all a mouse needed to be, I'd be still using it right now. And next is what made me start looking at other mice. Quick rundown on the small stuff. No DPI button so you're going through G Hub for sensitivity changes, no Bluetooth so it's just like lightspeed and wired. Side buttons are mushy with too much pre-travel. Balance is a bit front heavy so fingertip grip players might not love it that much. Stock skates actually felt fine on day one which surprised me a lot because I use a glass pad but after like a couple days they were done. So, of course had to swap it to dot skates and then fitted ones from X-raypad which again are way better. Scroll wheel has been fine on my copy but I know that a lot of people have problems with this. Now, battery at 2KHz with low haptics lasts about a week. If you push 8KHz with high haptics you're charging basically every night. Now, all of that is either fixable or just annoying and I'm going to tell you what actually made me switch and stay on a different mouse soon. But first you need to understand the one problem with this mouse that you cannot fix no matter what you do. Now, 61 grams sounds totally fine and in my first review I was fine with it too because everything else about this mouse was so new and interesting that a few extra grams just didn't matter that much to me. But to be honest, after like a month when the novelty settled in and I started testing other mice and going back and forth, that's when I first started noticing it. When you come from anything under 40 grams to this it just feels like a brick. Every single time I came back to the Superlight after using something lighter I noticed it a lot and it was mega annoying. Now, this doesn't mean like a mouse is unusable at 61 grams. If I had to play on this and nothing else I'd be completely fine with it. But if you have the option to go lighter and still get like top notch performance with a decent shape, there's no reason not to. So, right now most likely I'm going to try to 3D print like a lighter bottom shell to see how much I can cut. But this is the one thing that I can't fix with settings or accessories. Now, the weight alone isn't why it's not on my desk. The real reason has to do with how much of this mouse you're actually using for $180. Now, if you look at what the pro players are running on this mouse right now and you can find this on sites that track settings, most of them have actuation set so high that the clicks basically feel like a regular Superlight 2. So, think about that for a second. The Superlight 2 costs around like $120. This costs $180 and most people who use both end up setting this one to feel like the cheaper one which makes no sense in my opinion but whatever. The only thing that separates these two at this point is rapid trigger on low and that's it. So, the real question is is rapid trigger worth $60 to you? Now, if you're the type of player that optimizes everything and you tap fire a lot in games and you already like the GPX shape, yeah, it'll probably be kind of worth it for you. You're going to feel it a lot in tap timing and click resets and for that type of player nothing else does this right now. Personally, as someone who plays a lot of competitive games, I don't regret buying this. But for everyone else and honestly, that's most people, the Superlight 2 was already more than this at $120 or to go even further beyond 8K A9 Ultra Max, M chose A7 V2, $60 to $80 similar class sensor, lighter, some under 40 grams. Now, they don't have hits but for most people these do the job for way less money. Now, if you're coming from a Holy Panda keyboard expecting rapid trigger on a mouse to feel like basically the same, it just doesn't. On a keyboard it changes everything for movement, on a mouse it's way more subtle. Worth having it on but don't expect to buy this and you will notice the same jump as you see on a keyboard. Now, a quick note on the anti-cheat 2. Early on some people got false positive bans in Apex because the rapid trigger pattern looked like a trigger bot. Now, that's fixed but keep actuation at level three or above in anything with aggressive anti-cheat. So, I don't really regret the purchase, the tech is real but something else came along that I couldn't ignore and that's what took it off my desk. Now, the Viper V2 Pro is just too interesting right now not to test. Now, when I first tried it it honestly felt like super floaty and weird and I didn't like it at all. But I kept using it and now it just feels like the better option. And of course I want to give this the same treatment I gave the Superlight. Months of daily use, see what actually holds up and what doesn't because in my opinion right now the real comparison isn't this mouse versus that mouse, it's click versus frame sync and I genuinely don't know which one wins long term yet. Now, every time I go back and test the Superlight I love the clicks, how easy the input is, how fast it fires is still feels incredible in my opinion. But then I pick up the Viper and the tracking feels better, it's lighter, battery [music] lasts double. Now, if Razer put Logitech click tech on the Viper it would have been over, no discussion, just like bye-bye everything else. Nobody's done that yet. Diamond Lobby Reviews broke down the patterns behind hits on his Patreon if you want to see who can actually copy this tech and when. And that's what annoys me about Logitech in general. They keep building this mouse for pros who are used to 60 grams and don't want to change anything. But that's not what most people want. If this was like 45, 48 grams with the same click tech it would have been a much easier conversation. And to be clear, when I say weight matters I'm comparing mice that actually perform well against each other. There's a big difference between like a good lightweight mouse and a cheap one that skips on glass pads with terrible tracking and a lot of people mix these two up. So, your Alibaba $30 mouse at 45 grams is not better than the Superlight. Let's just be clear on that. Now, the same way Holy Panda took over keyboards this tech is coming to other mice soon. So, do you want to pay $180 to be first or do you want to wait for someone who put it on a mouse that gets everything right? At this point [music] no one knows when that's coming so you might wait for a while or I might jinx it again and tomorrow 8K drops a new clone with hits so who knows, I don't know. So, now drop your current mouse in the comments and what do you think matters more right now, click tech or like weight and shape? And if you want to see my first impression on the Viper V2 Pro or other gaming gear videos like in general, check out the next video here on the screen somewhere. Arrivederci. Exit code: 0

Based on the auto-generated captions, here's a summary of the video "2 Months With Logitech's New Aimbot Mouse (It's Gone)":

Overview

The reviewer used the Logitech Superlight mouse daily for 2 months and ultimately stopped using it, despite having excellent initial impressions.

Key Findings

The Good:

Click technology is incredible - initially felt faster than his brain could process; reactions were instant before even consciously deciding to shoot
Easier on hands - buttons require almost no force compared to mechanical switches, reducing finger tension during long sessions
Solid performance - no random actuation, sensor spin, or scroll wheel problems on his copy
Rapid trigger works - especially beneficial for tap-firing and click resets in competitive games

Settings Evolution:

Initially set conservative (high actuation to avoid misclicks, rapid trigger low, haptics dialed in) for gaming safety
Realized after 2 months this wasn't enough for daily use when tired after work
Key change: Left click stays lower for speed, right click much higher with stronger haptics to prevent accidental scoping during fights
Most people need higher actuation than initially feels right, especially when not playing at peak performance

The Issues:

Weight (61g) - feels heavy compared to mice under 40g; this is the one unfixable problem
Small annoyances: no DPI button, no Bluetooth, mushy side buttons, front-heavy balance, stock skates wore out quickly
Battery life: ~1 week at 2KHz with low haptics, but needs daily charging at 8KHz with high haptics

Value Proposition Problem

Most pro players set actuation so high that the mouse feels like a regular Superlight 2 ($120 vs $180)
The only difference becomes rapid trigger on low - is that worth $60?
For competitive players who optimize everything and tap-fire a lot, it's probably worth it
For everyone else, the Superlight 2 or lighter alternatives ($60-80) make more sense

Why He Switched

He moved to the Razer Viper V2 Pro for testing, framing the current competition as "click tech vs frame sync." He believes if Razer combined their Viper shape with Logitech's click technology, it would be the ultimate mouse.

Verdict

The technology is real and impressive, but Logitech built this for pros accustomed to 60g mice rather than what most consumers actually want. He predicts similar click technology will come to other mice soon, leaving consumers to decide whether to pay $180 to be first or wait for a better implementation on a lighter, more ergonomic mouse.