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 agentmods add commands/autonomous-ai/autonomous-os/usagegit clone --depth 1 https://github.com/autonomous-ai/autonomous-osWhat 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 | $0.00008 | $0.00135 |
| Opus 5 | $0.00004 | $0.00068 |
| Sonnet 5 | $0.00002 | $0.00027 |
| Haiku 4.5 | $0.00001 | $0.00014 |
Grade A, and why
usage scanned grade A with 0 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 2d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Fetch real-time Claude Code usage and push it to your device. Follow SKILL.md (Usage) to:
- Get OAuth token from Keychain / credentials file
- Fetch usage from the API (5-hour and 7-day windows)
- Build the
/claude-code/usagepayload (five_hour,seven_day,reset_5h,reset_7d,sound) - POST it to the device's
:5002/claude-code/usageendpoint - Report the percentages and reset times
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.
- 2d ago First seen · 14 lines · 8 tokens per session scan A eaa4eddb3f55
usage is a command published in the GitHub repository autonomous-ai/autonomous-os (256 stars, last pushed 3d ago), licensed Apache-2.0. It adds 8 tokens to every session and 135 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
story-long-scan
长篇网文扫榜。分析起点、番茄、晋江等平台排行数据，提炼市场趋势。.
dart-fix-ci
Command "dart-fix-ci" from dartsim/dart, covering required reading, workflow and output.
audit_docs
Audit all project metadata files for stale counts, version mismatches, broken references, and missing entries. Reports discrepancies without auto-fixing.
merge_session
Merge session branch(es) into main via rebase + fast-forward push. Use from inside a session worktree pane to land your work, or with --all to batch merge all sessions from the main repo.
pr
Create a feature branch, commit staged/unstaged changes, push, and open a GitHub PR against main — use when you have local changes not yet on any branch and want a reviewable PR. Distinct from /ship (commit + push to current branch, no PR) and /fixpr (resolve conflicts or run quality gates on an existing PR).
compile_paper
Convert a SWARM paper from markdown to LaTeX (if needed), compile to PDF, and open it.