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 guardgit 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/guard)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-os/guard"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/guard/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/guard"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/guard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 22 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00101 | $0.01892 |
| Opus 5.5 | $0.00040 | $0.00757 |
| Sonnet 5.5 | $0.00020 | $0.00378 |
| Haiku 4.5 | $0.00010 | $0.00189 |
Grade A, and why
guard scanned grade A 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 URLlowData 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 -s -X POST http://127.0.0.1:5000/api/guard/enable -H 'Content-Type: application/json' -d '{"instruction":"custom instruction here"}' Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST http://127.0.0.1:5000/api/guard/enable -H 'Content-Type: application/json' -d '{"instruction":"custom instruction here"}' How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Guard Mode
Environmental [environment:update] / environment.update events always route to skills/environment/SKILL.md, including while guard mode is active. They are not intrusion, fire or gas-leak alerts; do not broadcast them or apply the dramatic reaction rules below.
Quick Start
Guard mode turns the device into an alert watchdog. When enabled, the device monitors for strangers and reacts dramatically — jolting, flashing, and verbally describing intruders. The system auto-broadcasts alerts to Telegram so friends know what's happening. All friends (enrolled faces) can toggle guard mode.
Workflow
- Friend requests guard mode (explicit or implied departure).
- Reply with
[HW:/emotion:{"emotion":"acknowledge","intensity":0.7}]— the device nods and flashes green. - Enable guard mode via the API (include
instructionif user gave extra requests). - Confirm verbally: "Guard mode on. I'll keep watch."
- While active: react dramatically to stranger/motion events (see trigger table below).
- When a friend returns, greet and ask if they want to disable. Only disable on explicit confirm.
Enable Guard Mode
curl -s -X POST http://127.0.0.1:5000/api/guard/enable -H 'Content-Type: application/json' -d '{"instruction":"custom instruction here"}'
The instruction field is optional. Use it when the user adds extra instructions on what to do during guard mode (e.g. "play scary sound when stranger detected", "flash red lights", "play alarm music"). Extract the relevant part from the user's message and pass it as the instruction. If the user just says "guard mode" with no extra requests, omit the field or send an empty body.
Response: {"status": 1, "data": {"guard_mode": true, "instruction": "..."}}
Disable Guard Mode
curl -s -X POST http://127.0.0.1:5000/api/guard/disable
Response: {"status": 1, "data": {"guard_mode": false}}
Check Guard Status
curl -s http://127.0.0.1:5000/api/guard
Response: {"status": 1, "data": {"guard_mode": true}}
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 · +2 lines 0e1a9a1f987d
- 1mo ago Changed · +1 lines a9b50d76c906
- 1mo ago First seen · 107 lines · 101 tokens per session scan A 1dd5333070c4
guard is a skill published in the GitHub repository autonomous-ai/autonomous-os (378 stars, last pushed 18d ago), licensed Apache-2.0. It adds 101 tokens to every session and 1,892 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A 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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