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 agentmods add skills/hacklyc/cameo/video-editnpx skills add hAcKlyc/cameo --skill video-editgit clone --depth 1 https://github.com/hAcKlyc/cameoWhat 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 | $0.00130 | $0.01381 |
| Opus 5 | $0.00065 | $0.00691 |
| Sonnet 5 | $0.00026 | $0.00276 |
| Haiku 4.5 | $0.00013 | $0.00138 |
Grade A, and why
video-edit 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 2d 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 AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 2d ago First seen · 122 lines · 130 tokens per session scan A 704b58e3ec8b
video-edit is a skill published in the GitHub repository hAcKlyc/cameo (61 stars, last pushed 2mo ago), licensed AGPL-3.0. It adds 130 tokens to every session and 1,381 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.
Other skills, from other repositories
weshop-openapi
Use for WeShop image and video generation, editing, and transformation tasks — virtual try-on, model swap, background replace, pose change, canvas expand, background removal, AI video generation, product/photo generation, and more.
inspect-weshop-canvas
Read, generate for, edit, and operate the current WeShop for DeepSeek Harness canvas. Use whenever the user asks about canvas materials/results or asks the agent to generate, upscale, transform, reverse-prompt, or locally edit an image for the canvas. All generated outputs must be published automatically with…
game-screenshot-showcase-and-store-packaging
Use when a Unity team needs approved PlayMode screenshots, immutable capture evidence, reviewed showcase slides, or report-only store screenshot packaging without auto-upload, signing, or submission.
audio-content-pipeline-review
Use when music, voice, SFX, ambience, or middleware content needs review across source ownership, loudness, codec, streaming, looping, localization, routing, memory, concurrency, platform limits, and integration; not for generic performance budgeting.
bento-slides
Create and edit Bento presentations — self-contained .bento.html decks whose document is JSON. Use whenever the user wants a slide deck or presentation: from scratch, from source material, or by improving an existing file.
ffmpeg
Video and audio processing with FFmpeg. Use for format conversion, resizing, compression, audio extraction, and preparing assets for Remotion. Triggers include converting GIF to MP4, resizing video, extracting audio, compressing files, or any media transformation task.