claude-video
AGENTS.md4 starsChanged 5 months agoMITView on GitHub
Agent Skills package that gives an agent a video input. Installable across Claude Code (most common host), Codex, Cursor, GitHub Copilot, and 50+ other Agent Skills hosts. Pure-stdlib Python that orchestrates yt-dlp + ffmpeg and an optional Whisper API.
- Reads credentials
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,700 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
The file
We split this AGENTS.md into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Very specific: line 48
Keep the version in sync across skills/watch/SKILL.md (frontmatter), .claude-plugin/plugin.json, and .codex-plugin/plugin.json when cutting …
- Very specific: line 50
Never commit real API keys or .env contents.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
claude-video / watch skill
Agent Skills package that gives an agent a video input. Installable across Claude Code (most common host), Codex, Cursor, GitHub Copilot, and 50+ other Agent Skills hosts. Pure-stdlib Python that orchestrates yt-dlp + ffmpeg and an optional Whisper API.
Structure
skills/watch/SKILL.md— canonical skill contract the model reads when/watchfires. Source of truth for behavior across every host.skills/watch/scripts/watch.py— entry point; orchestrates download → frames → transcript.skills/watch/scripts/{download,frames,transcribe,whisper,setup,config}.py— yt-dlp wrapper, ffmpeg frame extraction + auto-fps, caption/Whisper transcription, preflight/installer, shared config.skills/watch/scripts/build-skill.sh— buildsdist/watch.skillfor claude.ai upload (dev-only).hooks/— Claude Code SessionStart setup-status hook (Claude Code only)..claude-plugin/—plugin.json+marketplace.json(Claude Code plugin + local marketplace)..codex-plugin/plugin.json— Codex/agents manifest;"skills": "./skills/"points the Agent Skills CLI at the self-contained skill folder..agents/plugins/marketplace.json— agents marketplace listing pointing at the repo-root plugin.CLAUDE.md→@AGENTS.md— generic-agent entry point.tests/— pytest suite (ffmpeg-synthesized clips; no network).
Orientation
- The product is the slash-command-invoked skill (
/watch <url-or-path> [question]), not a CLI.scripts/watch.pyis implementation. Features must work across every harness the skill installs into, not just Claude Code. - The skill is one self-contained folder:
skills/watch/. SKILL.md andscripts/are siblings inside it. This is what letsnpx skills addcopy a working skill as a unit — do NOT move SKILL.md orscripts/back to the repo root, or non-Claude installers will copy SKILL.md without the scripts. - Path resolution is harness-agnostic. SKILL.md resolves
SKILL_DIRas the directory of the SKILL.md the model just Read, then runs${SKILL_DIR}/scripts/.... Do NOT reintroduce${CLAUDE_SKILL_DIR}(Claude-Code-only) — it is unset on Codex/Cursor/agents and breaks every script call there. - No
commands/wrapper./watchis derived from SKILL.md frontmatter (name: watch+user-invocable: true). A separate command file creates a duplicate slash command.
Install surfaces
| Surface | Install |
| Claude Code | /plugin marketplace add bradautomates/claude-video then /plugin install watch@claude-video |
| Codex / Cursor / Copilot / +50 | npx skills add bradautomates/claude-video -g |
| claude.ai (web) | upload dist/watch.skill (built by skills/watch/scripts/build-skill.sh) |
Commands
# Tests (stdlib + pytest; ffmpeg required for frame tests)
.venv/bin/pytest -q # or: python3 -m pytest -q
# Build the claude.ai upload bundle (archives skills/watch/ as the bundle root)
bash skills/watch/scripts/build-skill.sh # → dist/watch.skill
# Dev: mirror the working tree into the installed Claude Code plugin cache
./dev-sync.sh # --dry-run to previewRules
- Keep the version in sync across
skills/watch/SKILL.md(frontmatter),.claude-plugin/plugin.json, and.codex-plugin/plugin.jsonwhen cutting a release. - Releasing: tag
vX.Y.Zand push the tag;.github/workflows/release.ymlbuildsdist/watch.skilland attaches it to the GitHub release. - Never commit real API keys or
.envcontents; keys live in~/.config/watch/.env(mode0600) at runtime.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

