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 wellbeinggit 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/wellbeing)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-os/wellbeing"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/wellbeing/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/wellbeing"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/wellbeing.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 318 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 | $0.00167 | $0.09801 |
| Opus 5.5 | $0.00067 | $0.03920 |
| Sonnet 5.5 | $0.00033 | $0.01960 |
| Haiku 4.5 | $0.00017 | $0.00980 |
Grade A, and why
wellbeing 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "http://127.0.0.1:5000/api/openclaw/wellbeing-history?user=<current_user>&last=50" | jq '.data.events' & How it starts
The opening of the file, as written. The whole thing — 457 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wellbeing
Automatic activity: spoken output only
For [activity] events, every assistant text message is spoken aloud, including text before or between tool calls. Output only the words addressed to the person, preceded by any HW markers required by the selected route. Never announce reading a skill, name the event/label/route number, explain a decision, draft a response, or describe which markers are needed. Keep routing, cooldown checks, tool plans and drafts only in the model's native thinking/reasoning channel; never repeat them in ordinary text before tools, between tools or in the final reply. If no separate channel is available, omit analysis entirely; do not simulate one with <think> tags in text. Do not add an introduction or afterword to the spoken response.
Automatic speech budget: keep the selected route brief in current_language, excluding required HW markers, or return NO_REPLY when that route requires silence. A routine acknowledgment needs one short sentence; a nudge needs one actionable suggestion with only the context necessary to understand it. Aim for about 20 words, but use a second short sentence when needed to preserve the route's question, relevant measurement, qualification or guidance. Keep every required marker and log action. Direct user requests, discomfort and urgent guidance receive the detail needed; never omit important guidance to meet a word count. Use supplied context and only the tools required by the selected route; do not reload a reference already available in the current turn. After any required tool returns, send only the markers and the concise user-facing reply, without a recap.
Eating reaction: for raw eat labels (eating *, dining, tasting food) in route #1, give exactly one casual sentence of at most 20 words in current_language, then stop. No tool calls, no log marker, no hydration/break nudge, and no habit bootstrap, even when bootstrap_needed=true or a nudge timer is due. This does not change routing for direct user requests or discomfort.
What ships with it
6 files 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 · +13 lines d5cf45b785f3
- 1mo ago Changed · +13 lines · +16 tokens per session c3f49507681b
- 1mo ago Changed · +16 lines 25c4d2bc39f7
- 1mo ago Changed · +14 lines · +20 tokens per session 36cb558e5649
- 1mo ago Changed · +40 lines · +8 tokens per session f19d6d4ba540
- 1mo ago Changed · +123 tokens per session 08615489f4e7
- 1mo ago First seen · 361 lines · 0 tokens per session scan A a8f8b68a5739
wellbeing is a skill published in the GitHub repository autonomous-ai/autonomous-os (378 stars, last pushed 19d ago), licensed Apache-2.0. It adds 167 tokens to every session and 9,801 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-08-30.
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