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 sweep-nowgit 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/sweep-now)<a href="https://agentmods.dev/skills/wrg32786/aigent-os/sweep-now"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/sweep-now/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/sweep-now"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/sweep-now.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 | $0.00039 | $0.00403 |
| Opus 5 | $0.00019 | $0.00201 |
| Sonnet 5 | $0.00008 | $0.00081 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
sweep-now 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 6d 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
/sweep-now
Run all three sweeps in sequence and append one result to
vault/memory/SWEEP_LOG.md.
Checks
- Scan active Delegation Tracker items. Flag live items whose last meaningful update is older than 14 days.
- Read
HEAT_INDEX.jsoncold_bottom_20. For each note last touched more than 60 days ago, propose a dormant flip. Do not apply it unattended. - Scan vault wikilinks and list references whose target does not exist.
Output
Append:
### YYYY-MM-DD - full sweep
- Delegation tracker: <N> stale items flagged (<stable references>)
- Dormant-note candidates: <N> proposed
- Broken wikilinks: <N>
- Notes inspected: <wikilink list or none>
- Open issues for the operator: <list or none>
Append only after all three scans complete. The nightly controller independently checks the newest real H3 date header.
Cadence
The default cadence is seven days. A nightly skip is legal only when
SWEEP_LOG.md exists, contains a valid real dated H3 header, and the controller
derives that it is within cadence. Missing or malformed evidence is failure.
Boundaries
- Do not auto-fix broken links.
- Do not auto-flip dormant notes.
- Do not auto-close stale work.
- Keep every proposal human-reviewable.
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.
- 6d ago First seen · 56 lines · 39 tokens per session scan A 1765246b84d2
sweep-now is a skill published in the GitHub repository wrg32786/aigent-os (18 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 403 once invoked, about $0.0002 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 2026-09-03.
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