Claude Code Skills & Agents is a collection of reusable skills, sub-agents, and configuration templates that extend Claude Code with workflows such as research, image generation, translation, and GitHub automation. It is for Claude Code users who want to install these capabilities individually or as a marketplace plugin. The catalogue entries are components from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add feiskyer/claude-code-settings --skill youtube-transcribe-skillgit clone --depth 1 https://github.com/feiskyer/claude-code-settingsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/feiskyer/claude-code-settings/youtube-transcribe-skill)<a href="https://agentmods.dev/skills/feiskyer/claude-code-settings/youtube-transcribe-skill"><img src="https://agentmods.dev/badge/skills/feiskyer/claude-code-settings/youtube-transcribe-skill.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 30 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00050 | $0.01162 |
| Opus 5 | $0.00025 | $0.00581 |
| Sonnet 5 | $0.00010 | $0.00232 |
| Haiku 4.5 | $0.00005 | $0.00116 |
Grade A, and why
youtube-transcribe-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Transcript Extraction
Extract subtitles/transcripts from a YouTube video URL and save them as a local file.
Input YouTube URL: $ARGUMENTS
Step 1: Verify URL
Confirm the input is a valid YouTube URL (supports youtube.com/watch?v=, youtu.be/, and youtube.com/shorts/ formats). If no URL is provided via arguments, check the conversation context for a YouTube link.
Step 2: CLI Quick Extraction (Priority Attempt)
Use command-line tools to quickly extract subtitles.
2.1 Check Tool Availability
Execute which yt-dlp.
- If
yt-dlpis found, proceed to 2.2. - If
yt-dlpis not found, skip to Step 3.
2.2 Get Video Title
yt-dlp --cookies-from-browser=chrome --get-title "[VIDEO_URL]"
- Tip: Always add
--cookies-from-browserto avoid sign-in restrictions. Default tochrome. - If it fails with a browser error (e.g., "Could not open Chrome"), ask the user to specify their available browser (e.g.,
firefox,safari,edge) and retry.
2.3 Download Subtitles
yt-dlp --cookies-from-browser=chrome --write-auto-sub --write-sub --sub-lang zh-Hans,zh-Hant,en --skip-download --output "<Video Title>.%(ext)s" "[VIDEO_URL]"
2.4 Convert to Plain Text
yt-dlp saves subtitles as .vtt or .srt files. Convert the downloaded file to plain Timestamp Text format:
- Read the downloaded subtitle file (
.vttor.srt). - Strip VTT/SRT headers, styling tags, and duplicate lines.
- Save as
<Video Title>.txtwith oneTimestamp Textentry per line.
2.5 Verify Results
- Exit code 0: Convert and save the subtitle file, then report completion.
- Exit code non-0:
- If error is related to browser/cookies, ask user for correct browser and retry.
- If other errors (e.g., video unavailable), proceed to Step 3.
Step 3: Browser Automation (Fallback)
When the CLI method fails or yt-dlp is missing, use Chrome DevTools MCP to extract subtitles via browser UI automation.
3.1 Check Tool Availability
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 120 lines · 50 tokens per session scan A 60da210e6c07
youtube-transcribe-skill is a skill published in the GitHub repository feiskyer/claude-code-settings (1,647 stars, last pushed 26d ago), licensed MIT. It adds 50 tokens to every session and 1,162 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
github-review-pr
Review GitHub pull requests with evidence-backed, multi-perspective analysis and false-positive filtering. Use when the user asks to review, inspect, or check a GitHub pull request by number or URL. Default to reporting findings locally; publish comments, submit reviews, or approve only when the user explicitly…
brainstorming
A guided design conversation for turning an idea for a feature, component, or system into an agreed implementation plan.
nanobanana-skill
Generate, remix, or edit images with Nanobanana / Nano Banana 2 through the bundled Gemini CLI wrapper. Use this whenever the user wants AI image generation or editing, especially for reference-image composition, character consistency, grounded visuals that may need live web search, style transfer, marketing graphics…
claude-skill
Use when work should be delegated to Claude Code CLI, especially headless claude -p runs, automation scripts, CI jobs, resumable sessions, or requests to use Claude/Claude Code for a task.
gpt-image-skill
A workflow for generating or editing images with OpenAI's image-generation API, using a bundled Python script.
deep-research
A multi-agent workflow for carrying out deep research: a broad investigation that gathers, checks, and combines evidence from websites or other materials.