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 autonomous-ai/autonomous-os --skill cameragit clone --depth 1 https://github.com/autonomous-ai/autonomous-osWrote 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/autonomous-ai/autonomous-os/camera)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-os/camera"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/camera/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/autonomous-ai/autonomous-os/camera"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/camera.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 | $0.00089 | $0.03048 |
| Opus 5.5 | $0.00036 | $0.01219 |
| Sonnet 5.5 | $0.00018 | $0.00610 |
| Haiku 4.5 | $0.00009 | $0.00305 |
Grade B, and why
camera scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -sX POST http://127.0.0.1:5000/api/vision/look -H 'Content-Type: application/json' -d '{"question":"..."}' Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
c=$(curl -s http://127.0.0.1:5001/camera); case "$c" in How it starts
The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Camera
Quick Start
Accesses the device's built-in camera at http://127.0.0.1:5001 to take snapshots or check the environment. Only use when the user explicitly asks you to look at something.
Already-captured frame (reuse, don't re-snapshot)
If the incoming turn contains a line like:
[vision-image] <absolute-path-to-a.jpg> (a photo was JUST captured ...)
a photo was already taken for this exact request by the realtime voice layer (it captured the frame, then handed the turn to you — e.g. it timed out mid-answer), and the OS layer delivers it with this very message — either as an [image description] line (when the main model is text-only, a vision model has already analyzed the photo for you) or as an attached image. Answer the visual question from that description/attachment. Do NOT call /api/vision/look or /camera/snapshot again — re-snapshotting wastes time and may capture a different moment than what the user asked about. Do NOT read the path with a file tool — it is there for traceability only, and on text-only models a file-read image is silently dropped.
Use the capture protocol below when no current image or description was supplied for the request.
Capture Protocol
One tool call. It checks that the camera can actually deliver a frame, and only then takes the photo, sizes it, and gives you back what is in it:
c=$(curl -s http://127.0.0.1:5001/camera); case "$c" in
*'"disabled":true'*) echo "CAMERA_OFF" ;;
*'"has_frame":false'*) echo "CAMERA_UNAVAILABLE" ;;
*) curl -sX POST http://127.0.0.1:5000/api/vision/look \
-H 'Content-Type: application/json' \
-d '{"question":"<what the user asked>"}' ;;
esac
Read the output:
CAMERA_OFF→ the user turned the camera off (privacy). Say so in one sentence and that they can say "camera on" to turn it back on. Stop. Do not look, do not enable it yourself.CAMERA_UNAVAILABLE→ the hardware is not delivering frames (not connected or not detected). Say the camera is not working right now. Stop.{"data":{"description":"...","path":"..."}}→ answer fromdescription. It is the only thing in this turn that actually saw the frame. Nodescriptionfield (the main model can read images itself) → openpathwith your file/image tool.- Any other error → tell the user you couldn't see it this time. Do not guess.
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.
- 1mo ago Changed · +22 lines scan D → B 93ee68e5eecd
- 1mo ago Changed · +5 lines 76bac0abd534
- 1mo ago Changed · +1 lines c5bfa9be7f53
- 1mo ago Changed · +3 lines scan C → D 7846e73538d9
- 1mo ago First seen · 186 lines · 89 tokens per session scan C 87092ae71d44
camera is a skill published in the GitHub repository autonomous-ai/autonomous-os (378 stars, last pushed 18d ago), licensed Apache-2.0. It adds 89 tokens to every session and 3,048 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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