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 5.5 | $0.00016 | $0.00161 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (23 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 403 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
setup-brain
Set up or upgrade an AI-powered Obsidian vault. Interviews you, builds your vault structure (or works with what you already have), creates your CLAUDE.md memory file, installs tools, and gets you journaling — all in one conversation. Also has a repair/upgrade path for existing users.
second-brain-mapping
Use when the user wants to map or remap their second brain, refresh the vault's queryable metadata index, extract structured frontmatter from typed notes (books, meetings, people, journals, goals), fill wikilink gaps, or surface cross-type insights and patterns no single file shows. Triggers: /second-brain-mapping…
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Use when many related hardened instincts (high-confidence feedback/discovery memories) have piled up in one domain, when the user runs /evolve or asks to promote, cluster, graduate, or consolidate accumulated instincts into a Command, Skill, or Agent, or when files in Instinct Proposals need review. Part of the…
vault-system
Use when maintaining the vault ITSELF as a system, not its content: knowledge-graph build/rebuild/query (graphify), second-brain mapping, vault diagnose/audit/hygiene, drift detection, extract rules from vault, backfill journals, setup vault types, consolidate memory (index over cap), Obsidian tooling…
diagnose
Use when an AI Brain vault needs a health check or something feels off: Claude ignores CLAUDE.md, journal entries missing from /weekly, hooks not firing, something broke after a git pull, a friend's install misbehaves, Obsidian crashes or pegs the CPU, a .claude/worktrees folder appeared, Granola/WhatsApp/Slack/Gmail…
agent-memory-discipline
Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards. Works with any memory backend.