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 6174/recut --skill recut-directing-captionsgit clone --depth 1 https://github.com/6174/recutWrote 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/6174/recut/recut-directing-captions)<a href="https://agentmods.dev/skills/6174/recut/recut-directing-captions"><img src="https://agentmods.dev/badge/skills/6174/recut/recut-directing-captions/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/6174/recut/recut-directing-captions"><img src="https://agentmods.dev/badge/skills/6174/recut/recut-directing-captions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00042 | $0.02617 |
| Opus 5 | $0.00021 | $0.01308 |
| Sonnet 5 | $0.00008 | $0.00523 |
| Haiku 4.5 | $0.00004 | $0.00262 |
Grade A, and why
recut-directing-captions 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
3 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.
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 · 110 lines · 42 tokens per session scan A 5e1864077007
recut-directing-captions is a skill published in the GitHub repository 6174/recut (33 stars, last pushed 2d ago), licensed GPL-3.0. It adds 42 tokens to every session and 2,617 once invoked, about $0.0002 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
video-recap
An end-to-end workflow for turning a video into a Chinese narrated recap. It coordinates video analysis, story planning, editing, voice generation, and final audio and subtitle assembly.
video-script
A Chinese-language video editing and narration workflow that plans the story, selects clips, assigns visuals and sound, writes timestamped narration, and validates the result.
video-assemble
A video finishing tool that combines a source video with recorded narration, adjusted original sound, and subtitles. It can create subtitle files, burn them into the video, and optionally standardise loudness.
video-cut
A video-editing skill that turns selected time ranges from a long source video into a shorter video. It follows decisions recorded in a clip plan and can also map an existing narration timeline to the edited result.
video-understanding
A video analysis tool that turns a video into a structured index of scenes, spoken words, visual observations, quiet sections, and a writing brief. ASR means automatic speech recognition, which converts speech in the video into timestamped text.
video-voiceover
A text-to-speech tool that turns a timestamped narration script into separate Chinese voice clips and places them within the video's timeline. Text-to-speech means generating spoken audio from written words.