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 environmentgit 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/environment)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-os/environment"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/environment/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/environment"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/environment.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 | $0.00083 | $0.02478 |
| Opus 5 | $0.00042 | $0.01239 |
| Sonnet 5 | $0.00017 | $0.00496 |
| Haiku 4.5 | $0.00008 | $0.00248 |
Grade A, and why
environment scanned grade A with 1 finding 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl --fail --silent --show-error --max-time 5 http://127.0.0.1:5000/api/environment/status How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Environment
Scope and data
Work from the device's declared environment capability and the measurements actually present. Do not require a camera, microphone, emotion marker, or a particular sensor model. If the capability is absent, explain that this device has no available environment sensing; do not enable hardware or edit its declaration.
For a direct question or a requested current comparison, read the OS environment status API once:
curl --fail --silent --show-error --max-time 5 http://127.0.0.1:5000/api/environment/status
This read-only route admits local device callers and checks the environment capability. It returns the OS envelope {"status":1,"data":{...HAL snapshot...},"message":null}; inspect data. A non-2xx response or status:0 means unavailable. Do not bypass a denial through HAL or fetch credentials for the browser's authenticated hardware proxy.
Use the existing snapshot in an automatic event unless it is stale or the user explicitly requests a fresh check. Do not run a polling loop, start a cron job, invent a history endpoint, or promise a timed follow-up: OS owns polling, thresholds, sustained-change detection and cooldowns.
A usable snapshot has enabled: true, state: "ready", stale: false, and a non-null sample. Check age_s and sample.timestamp before describing it as current. Disabled, starting, stopped, error, missing or stale data is unavailable, not zero pollution. Say so briefly on a direct question; stay silent on an unusable automatic event. Individual null or absent measurements are unknown: retain the other valid readings. For a multi-component snapshot, sources[metric] identifies its entry in components; check that component's state, age and stale flag, plus metric_timestamps[metric]. The aggregate timestamp may belong to another sensor and does not establish freshness for every field. One failed component does not invalidate another healthy component.
| Sample field | Meaning |
|---|---|
pm1_0_ug_m3, pm2_5_ug_m3, pm4_0_ug_m3, pm10_ug_m3 |
Particle mass concentrations, µg/m³ |
temperature_c |
Temperature near the installed sensor, °C |
humidity_pct |
Relative humidity, % |
voc_index, nox_index |
Relative gas indices, not gas concentrations |
co2_ppm |
Measured carbon dioxide concentration, ppm, when a CO₂ component is available |
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.
- today First seen · 99 lines · 83 tokens per session scan A ea56a96fb066
environment is a skill published in the GitHub repository autonomous-ai/autonomous-os (325 stars, last pushed yesterday), licensed Apache-2.0. It adds 83 tokens to every session and 2,478 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-12.
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