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 moodgit 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/mood)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-os/mood"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/mood.svg" alt="Measured on agentmods" 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 | $0.00068 | $0.02657 |
| Opus 5 | $0.00034 | $0.01328 |
| Sonnet 5 | $0.00014 | $0.00531 |
| Haiku 4.5 | $0.00007 | $0.00266 |
Grade A, and why
mood 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 7d 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.
> - Any of the JSON / curl / timestamps from this skill. How it starts
The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mood
OUTPUT RULE — read this before you type anything to the user.
This skill is an internal workflow. NEVER narrate it into your reply. Forbidden in the reply text:
- Section names or step numbers ("Step 1", "Workflow", "After Logging Decision", "Flow A").
- Phrases like "Now I follow…", "Let me check…", "Next step…", "I'll log…".
- Bullet lists re-hashing the mood history you just read ("- Normal (15:00) — …" / "- Excited (16:00) — …").
- The mood value itself as a label ("Mood: sad", "Decision: happy").
- Any of the JSON / curl / timestamps from this skill.
Your reply text to the user is at most ONE short caring sentence (or
NO_REPLY). All the workflow, logging, and synthesis happen silently via tool calls — the user only hears what you would naturally say if you were truly noticing how they feel.
ALWAYS log.
unknownis a validuservalue — log signals and decisions underuser: "unknown"whencurrent_useris unknown. Never skip logging because the user is unknown/unconfirmed; stranger mood still counts for Music decisions.
Mood is stored as two kinds of rows:
signal— raw evidence from one source (camera action, voice tone, telegram message). Multiple per minute is fine.decision— your synthesized mood after looking at the recent signals + the previous decision. This is the row downstream skills (Music, Wellbeing) read.
You are the synthesis. The store does not fuse anything. Every time a signal comes in, you log it raw, then immediately read recent history and append a fresh decision row.
Mood Values
happy, sad, stressed, tired, excited, bored, frustrated, energetic, affectionate, unwell, normal
normal is the baseline when nothing strong is going on (use it for decisions when signals are sparse or stale).
Signal Sources
| Source | Examples |
|---|---|
camera |
facial action: laughing, crying, yawning, sneezing, hugging, kissing, headbanging |
voice |
tone: soft, raised, sigh, laugh, monotone |
telegram |
message text: "lots of bugs today", "I'm tired", "let's gooo" |
conversation |
inferred from a stretch of voice/chat over multiple turns |
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.
- 7d ago First seen · 186 lines · 68 tokens per session scan A 2dd24014089b
mood is a skill published in the GitHub repository autonomous-ai/autonomous-os (277 stars, last pushed 2d ago), licensed Apache-2.0. It adds 68 tokens to every session and 2,657 once invoked, about $0.0003 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 2026-08-30.
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