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 generation-promptgit 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/generation-prompt)<a href="https://agentmods.dev/skills/6174/recut/generation-prompt"><img src="https://agentmods.dev/badge/skills/6174/recut/generation-prompt/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/generation-prompt"><img src="https://agentmods.dev/badge/skills/6174/recut/generation-prompt.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 | $0.00082 | $0.05120 |
| Opus 5.5 | $0.00033 | $0.02048 |
| Sonnet 5.5 | $0.00016 | $0.01024 |
| Haiku 4.5 | $0.00008 | $0.00512 |
Grade A, and why
generation-prompt 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 5d 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
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
1 file 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.
- 5d ago Changed 9e02fff77e93
- 11d ago Changed · -104 lines c0747ffdc4eb
- 12d ago Changed 3b7f115e569e
- 13d ago Changed · -5 lines cb8b04ab561a
- 14d ago Changed · +59 lines · +10 tokens per session f0e2e1da7eb4
- 15d ago Changed · +41 lines · +22 tokens per session c7204fd049d5
- 23d ago Changed · +2 lines 9e9395b503b9
- 25d ago Changed · +9 lines 955637c0786f
- 27d ago Changed · +2 lines ba9ecfbbce25
- 29d ago First seen · 150 lines · 50 tokens per session scan A a5ca820dd106
generation-prompt is a skill published in the GitHub repository 6174/recut (46 stars, last pushed 5d ago), with no licence file. It adds 82 tokens to every session and 5,120 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 2026-09-17.
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-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.
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.