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Write YouTube chapters from a transcript, validated against YouTube's own rules so they actually render. Use for "add chapters", "timestamps", "break this video into sections".

Use this Skill: https://skilld.dev/gh/jakeschincariol/youtube-agent-skill/yt-chapters

Nothing lands on disk. Nothing to clean up.

Fork this Skill

Edit a local copy. It keeps the author and licence.

SKILL.md

≈47 tokens for metadata: the name and description. ≈289 when used: this file.

Description uses 2.4% of example budget

Before choosing a Skill, your Agent reads its name and description. All available Skills share that space.

  • A shorter description leaves more room for other Skills. This entry exceeds our 1% size suggestion.

In our Claude Code example, all Skill names and descriptions share 8,000 characters. This Skill uses ≈190 characters, or 2.4%.

The 1% threshold is a size suggestion. Longer descriptions can still fit.

Your model, settings, and other Skills decide how much text your Agent can read.

Example settings and source

The example uses a 200k-token context and default Claude Code settings. The count includes the name, description, separators, and when_to_use when present. Codex also counts local file paths.

Skit's source and limits: Codex 0.160.1, Claude Code 2.1.292.

yt-chapters

python3 chapters.py transcript.srt --target 8

The rules, which are not optional

A chapter list that breaks any of these silently does not become chapters at all - the block just sits in the description doing nothing:

  • The first entry must be 00:00.
  • There must be at least three.
  • Each must be at least 10 seconds long.

The tool checks all three and tells you when a list is invalid rather than letting you paste it.

Retitle every line

chapters.py finds the BOUNDARIES well - it scores the pauses you actually took by how much the vocabulary shifts across them. The titles it emits are the topic words, and they are a draft. A chapter called "Thumbnails Titles Packaging" is a placeholder. Rewrite each one as the promise of that section, in the user's voice, three to five words.

Chapters are also a retention diagnostic: if a section cannot be named in five words, it is two sections or it is filler.

The gate

Nothing here publishes. This skill writes and you publish. Every output ends in a block the user copies, and the last line of every run is the question: ship it, or change it?

Source: SKILL.md on GitHub

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.

1 warning19d3 checks · Risk MEDIUM
  • Gen Agent Trust Hub19d

    The skill is functional for generating YouTube chapters but includes a potential security risk due to dynamic code loading. It modifies the system path to import modules from a directory outside its own package, which can be exploited if the environment is not secured. Additionally, it processes external transcript data that could be used for indirect prompt injection attacks.

  • Socket19d

    No alerts

  • Snyk19d

    Risk: LOW · No issues

Signed by skilld at a2feb21. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 45 minutes ago.

Activeupdated 3 weeks ago

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