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 wrg32786/aigent-os --skill statusgit clone --depth 1 https://github.com/wrg32786/aigent-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/wrg32786/aigent-os/status)<a href="https://agentmods.dev/skills/wrg32786/aigent-os/status"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/status/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/wrg32786/aigent-os/status"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00493 |
| Opus 5 | $0.00000 | $0.00246 |
| Sonnet 5 | $0.00000 | $0.00099 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
status scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/status — aigent-OS operational status
Read computed runtime state and display a concise operational summary. Under 12 lines.
Trigger
/status — user-facing command. Also available to the AIgent internally.
Flow
- Run
python3 "$AIGENT_VAULT/daemons/runtime/update-active-state.py"to refresh state - Read
$AIGENT_VAULT/memory/runtime/ACTIVE_STATE.json - Format and display:
Mode: {mode}
Objective: {current_objective or "none"}
Next: {next_valid_action or "none"}
Pressure: context {p.context}, memory {p.memory}, token {p.token}
Capsule: {active_capsule.id or "none"} ({active_capsule.status})
Blocked: {count} items
Gaps: {count} open skill gaps
Reflexes: {list of true reflexes, or "none"}
- If any reflexes are true, add a line:
Reflex: {reflex} — {action hint}- should_capsule → "Context pressure high — capsule recommended"
- should_digest → "Memory backlog >30 — /digest recommended"
- should_skill_hunt → "Open skill gaps — /skill-hunt queued"
- should_close → "Session >2hr — consider /close"
- should_escalate → "Blocked items — escalation needed"
Output format
Keep it tight. Terminal-style. No prose. No headers. Just the state.
Example
Mode: active
Objective: Build runtime state layer
Next: Wire /open and /close to read ACTIVE_STATE
Pressure: context low, memory medium, token low
Capsule: 2026-05-08-session38-close (active)
Blocked: 0 items
Gaps: 0 open
Reflexes: digest — Memory backlog >30
Related
memory/runtime/ACTIVE_STATE.json— the state this readsmemory/runtime/README.md— schema docsdaemons/runtime/update-active-state.py— the computer/body-check— deeper vital signs (somatic layer)/openand/close— compute state as part of session lifecycle
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.
- 9d ago First seen · 57 lines · 0 tokens per session scan A f13bec8e5d47
status is a skill published in the GitHub repository wrg32786/aigent-os (18 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 493 tokens. 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 2026-09-03.
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github-trending
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token-pick
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