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 openclaw/nix-openclaw-tools --skill camsnapgit clone --depth 1 https://github.com/openclaw/nix-openclaw-toolsWrote 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/openclaw/nix-openclaw-tools/camsnap)<a href="https://agentmods.dev/skills/openclaw/nix-openclaw-tools/camsnap"><img src="https://agentmods.dev/badge/skills/openclaw/nix-openclaw-tools/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/openclaw/nix-openclaw-tools/camsnap"><img src="https://agentmods.dev/badge/skills/openclaw/nix-openclaw-tools/camsnap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.00472 |
| Opus 5.5 | $0.00012 | $0.00189 |
| Sonnet 5.5 | $0.00006 | $0.00094 |
| Haiku 4.5 | $0.00003 | $0.00047 |
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 2mo 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
100% identical to camsnap — 0 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
Local webcams (macOS)
- List devices:
camsnap devices - Snapshot from a local camera:
camsnap snap --device 0 --out webcam.jpg - PTZ position and ranges:
camsnap ptz status --device 0 - Move a gimbal camera:
camsnap ptz goto --device 0 --pan 45 --tilt -18 - Also
camsnap ptz move(relative deltas) andcamsnap ptz home.
Notes
- Requires
ffmpegon PATH. - Prefer a short test capture before longer clips.
- PTZ needs macOS Camera permission: these cameras only service UVC controls while streaming, so
camsnapholds a capture session open for the operation. - Motion commands verify the settled position and exit non-zero if the camera did not reach it. On-camera AI framing can override manual positioning; disable tracking if moves keep missing.
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.
- 2mo ago First seen · 56 lines · 29 tokens per session scan A 53a7e4cb6c19
camsnap is a skill published in the GitHub repository openclaw/nix-openclaw-tools (54 stars, last pushed 3d ago), licensed MIT. It adds 29 tokens to every session and 472 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to camsnap, differing in 0 lines, and is treated as a copy.
camsnap compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| camsnapopenclaw/nix-openclaw-tools | Skill | 54 | 3d ago | MIT | A | 29 | Claude Code, Codex |
| gke-compute-classesgoogle/skills | Skill | 24k | today | Apache-2.0 | A | 83 | Claude Code, Codex |
| jetson-diagnosticNVIDIA/skills | Skill | 3.9k | today | Apache-2.0 | A | 30 | Claude Code, Codex |
| holoscan-install-wheelNVIDIA/skills | Skill | 3.9k | today | Apache-2.0 | A | 34 | Claude Code, Codex |
| offensive-z-waveSnailSploit/Claude-Red | Skill | 11k | 28d ago | MIT | A | 113 | Claude Code, Codex |
| doca-socket-relayNVIDIA/skills | Skill | 3.9k | today | Apache-2.0 | A | 236 | Claude Code, Codex |
| hsb-flashNVIDIA/skills | Skill | 3.9k | today | Apache-2.0 | B | 94 | Claude Code |