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 understudy-ai/understudy --skill camsnapgit clone --depth 1 https://github.com/understudy-ai/understudyWrote 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/understudy-ai/understudy/camsnap)<a href="https://agentmods.dev/skills/understudy-ai/understudy/camsnap"><img src="https://agentmods.dev/badge/skills/understudy-ai/understudy/camsnap/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/understudy-ai/understudy/camsnap"><img src="https://agentmods.dev/badge/skills/understudy-ai/understudy/camsnap.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 | $0.00016 | $0.00287 |
| Opus 5.5 | $0.00006 | $0.00115 |
| Sonnet 5.5 | $0.00003 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
camsnap 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.
This is a copy
94% identical to camsnap — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
camsnap
Use camsnap to grab snapshots, clips, or motion events from configured cameras.
Setup
- Config file:
~/.config/camsnap/config.yaml - Add camera:
camsnap add --name kitchen --host 192.168.0.10 --user user --pass pass
Common commands
- Discover:
camsnap discover --info - Snapshot:
camsnap snap kitchen --out shot.jpg - Clip:
camsnap clip kitchen --dur 5s --out clip.mp4 - Motion watch:
camsnap watch kitchen --threshold 0.2 --action '...' - Doctor:
camsnap doctor --probe
Notes
- Requires
ffmpegon PATH. - Prefer a short test capture before longer clips.
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 First seen · 46 lines · 16 tokens per session scan A a38cb8d3577d
camsnap is a skill published in the GitHub repository understudy-ai/understudy (464 stars, last pushed 4mo ago), licensed MIT. It adds 16 tokens to every session and 287 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to camsnap, differing in 2 lines, and is treated as a copy.
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