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 oxbshw/watch-skill --skill extracting-structuregit clone --depth 1 https://github.com/oxbshw/watch-skillWrote 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/oxbshw/watch-skill/extracting-structure)<a href="https://agentmods.dev/skills/oxbshw/watch-skill/extracting-structure"><img src="https://agentmods.dev/badge/skills/oxbshw/watch-skill/extracting-structure/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/oxbshw/watch-skill/extracting-structure"><img src="https://agentmods.dev/badge/skills/oxbshw/watch-skill/extracting-structure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk pass
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 | $0.00081 | $0.00436 |
| Opus 5.5 | $0.00032 | $0.00174 |
| Sonnet 5.5 | $0.00016 | $0.00087 |
| Haiku 4.5 | $0.00008 | $0.00044 |
Grade A, and why
extracting-structure 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 1mo 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.
What it actually says
Extracting structure
Three extractors turn an already-watched video into something structured.
All of them answer straight from the persistent index — deterministic, no
extra model calls. The video must be watched first (see watching-videos).
Chapters
watch-skill extract chapters <video_id-or-source>
Titled chapters with start/end timestamps, built from scene changes plus transcript topic shifts. Good for long tutorials, lectures, meetings — give the user the chapter list with timestamps, not a prose summary.
Bug report from a screen recording
watch-skill extract bug-report <video_id-or-source>
Pinpoints where an error appears: timestamp, the exact frame, the
on-screen error text as OCR read it, and the steps that led up to it
(from the transcript/actions preceding the failure). Returns
found: false honestly when no error signal exists — report that as
"no error found in the recording", not as an error.
Paste the output into the user's issue tracker format when they ask for a fileable report; the frame path is the attachment.
Hook analysis (creators)
watch-skill extract hook <video_id-or-source> [--seconds 15]
Scores the opening seconds on four measured axes — attention trigger in the opening line, speech pacing, visual change rate, on-screen text — each with an actionable critique, plus a 0–100 score and verdict. Give the user the per-axis critiques; the number alone helps nobody.
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.
- 1mo ago Changed b528329217fc
- 1mo ago Changed 68b98332dcc6
- 1mo ago Changed 60785301db80
- 2mo ago First seen · 51 lines · 81 tokens per session scan A 9df8eb733cc9
extracting-structure is a skill published in the GitHub repository oxbshw/watch-skill (544 stars, last pushed 5d ago), licensed MIT. It adds 81 tokens to every session and 436 once invoked, about $0.0003 per session on Opus 5.5. 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.
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render-html-report
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cerul
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video-sop
Edit the attached Screenpipe video project, inspecting its real screenshots and preserving the source instructions.
screenpipe-chats
Search what was said in existing screenpipe, Codex, Claude, Cursor, and Gemini CLI chats, then continue or steer one exact chat when the user explicitly asks. Use for requests about finding another agent conversation, recalling what an agent said, or sending work to one.