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 jianshuo/claude-skills --skill wjs-segmenting-videogit clone --depth 1 https://github.com/jianshuo/claude-skillsWrote 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/jianshuo/claude-skills/wjs-segmenting-video)<a href="https://agentmods.dev/skills/jianshuo/claude-skills/wjs-segmenting-video"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-segmenting-video/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/jianshuo/claude-skills/wjs-segmenting-video"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-segmenting-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Rogue Agent · line 54 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00115 | $0.03840 |
| Opus 5 | $0.00057 | $0.01920 |
| Sonnet 5 | $0.00023 | $0.00768 |
| Haiku 4.5 | $0.00012 | $0.00384 |
Grade A, and why
wjs-segmenting-video 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 12d 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wjs-segmenting-video
Cut a long video + SRT into multiple stand-alone short clips, each
oriented for the target platform. This skill stops after cutting +
cropping — it hands off the raw clips to /wjs-overlaying-video for
covers, captions, illustrations, CTA, and final render.
When to use
- Long-form video (≥10 min) with an existing SRT transcript.
- Goal is stand-alone short clips (each viewable without context).
- The user will (or you will) drive post-production separately in
/wjs-overlaying-video.
When NOT to use
- Single-topic trimming → just use
ffmpeg -ss A -to B. - No transcript yet → run
/wjs-transcribing-audiofirst (then/wjs-translating-subtitlesif the segments need a non-source language). - Multicam editing → use
/wjs-editing-multicam. - Highlight reel with multiple cuts inside a single topic → that's editing, not segmentation.
What this skill IS — and IS NOT
| Is | Is not |
|---|---|
| You (the agent) read the full SRT and decide the topic boundaries | A script that runs NLP topic modeling, silence detection, or "viral moment" scoring. Topic boundaries are semantic; competing tools (Descript, OpusClip, Riverside Magic Clips) all get this wrong by automating it. |
segment.py cuts; /wjs-reframing-video reorients |
An end-to-end "magic" pipeline |
| Accurate-seek cuts by default (re-encode) — clip starts EXACTLY at requested timestamp | Stream-copy cuts (those produce keyframe-snap drift up to GOP duration) |
| Hands off raw cropped clips + per-clip SRTs | Burned subtitles, covers, intros, CTAs (those live in /wjs-overlaying-video) |
The pipeline
long video + SRT
↓ (agent reads SRT, decides topics — judgment, not parsing)
segments.json
↓ segment.py --reencode (accurate seek; clip starts exactly at requested t)
clip_NN.mp4 + frame_NN.jpg
↓ ASK: target platform orientation match source?
↓ /wjs-reframing-video on each clip (if 16:9 → 9:16, etc.)
↓ re-extract frames from cropped clips
clip_NN.mp4 (now in target orientation) + clip_NN.zh-CN.burn.srt
↓
HAND OFF → /wjs-overlaying-video
(does covers + captions + illustrations + CTA + final render)
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/example_segments.json 1.2 KB
- references/platform_sizes.md 907 B
- references/segments_schema.json 1.8 KB
- scripts/burn_subs.py 9.3 KB runs code
- scripts/compose_cover.py 7.5 KB runs code
- scripts/make_cover.py 5.3 KB runs code
- scripts/prepend_intro.py 12 KB runs code
- scripts/segment.py 4.8 KB runs code
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.
- 12d ago First seen · 302 lines · 115 tokens per session scan A 4e44bb44edf0
wjs-segmenting-video is a skill published in the GitHub repository jianshuo/claude-skills (129 stars, last pushed 22d ago), licensed MIT. It adds 115 tokens to every session and 3,840 once invoked, about $0.0006 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.
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