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.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.08523 |
| Opus 5 | $0.00000 | $0.04262 |
| Sonnet 5 | $0.00000 | $0.01705 |
| Haiku 4.5 | $0.00000 | $0.00852 |
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 8d 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 — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wellbeing
Gotchas (concrete facts, NOT suggestions)
Endpoints — use verbatim, never substitute a port or path:
| Purpose | URL |
|---|---|
| Read wellbeing history | http://127.0.0.1:5000/api/openclaw/wellbeing-history |
| Log wellbeing nudge | http://127.0.0.1:5000/api/wellbeing/log |
| Log posture nudge | http://127.0.0.1:5000/api/posture/log |
- Port 5000 = the backend (data APIs: wellbeing / posture / mood / music / openclaw history).
- Port 5001 = HAL (audio, camera, face, presence, speaker). Has NO
/api/wellbeing/*or/api/posture/*routes — calling 5001 returns 404 silently and your nudge is lost. - Posture nudges live on a separate JSONL (
/root/local/users/<user>/posture/) for clean timeline separation; the wellbeing log keeps hydration/break/meal/sleep/morning rows. - Do not pattern-match from other skills:
5001/audio/play,5001/face/enroll,5001/camera/snapshotare unrelated.
User attribution: every user field MUST come from the [context: current_user=X] tag the backend injects into the triggering event. Strangers collapse to "unknown". If no context tag is present, default to "unknown".
Thresholds (production values):
HYDRATION_THRESHOLD_MIN = 45
BREAK_THRESHOLD_MIN = 30
BREAK_THRESHOLD_TIRED = 20 # replaces the above when `yawning` is in the labels
YAWN_ACK_COOLDOWN_MIN = 60 # acknowledge a yawn at most once an hour
TOILET_DRINK_THRESHOLD = 2 # count-based — fires once per N drinks since last nudge
The backend writes activities; you only write nudges. Rows for drink / break / celebrate / yawning / sedentary labels are posted by the backend directly when motion.activity fires — before the event reaches you. Do NOT re-log them. You still POST nudge_hydration / nudge_break because only you know when you actually spoke.
Presence rows (enter / leave) are written by the backend on presence.* events. You never POST those either.
Rules (Never / Only)
What ships with it
5 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.
- 8d 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 (279 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 8,523 tokens. 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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