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 laozhong86/gbrain --skill maintaingit clone --depth 1 https://github.com/laozhong86/gbrainWrote 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/laozhong86/gbrain/maintain)<a href="https://agentmods.dev/skills/laozhong86/gbrain/maintain"><img src="https://agentmods.dev/badge/skills/laozhong86/gbrain/maintain/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/laozhong86/gbrain/maintain"><img src="https://agentmods.dev/badge/skills/laozhong86/gbrain/maintain.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00013 | $0.00252 |
| Opus 5.5 | $0.00005 | $0.00101 |
| Sonnet 5.5 | $0.00003 | $0.00050 |
| Haiku 4.5 | $0.00001 | $0.00025 |
Grade A, and why
gbrain-maintain scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to gbrain-maintain — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Maintain Skill
Workflow
- Check stale pages with
gbrain list --limit 50and read candidates that have not been touched recently. - Compare compiled truth against
gbrain timeline <slug>to catch pages whose state no longer matches newer evidence. - Use
gbrain backlinks <slug>to find orphans and weakly connected pages. - Review tag consistency with
gbrain tags <slug>andgbrain stats. - Refresh semantic recall with
gbrain embed --staleafter material page updates.
Output
Write the maintenance pass back into the brain as a dated source page, for example:
cat report.md | gbrain put sources/maintenance-$(date +%Y-%m-%d)
Rules
- Fix contradictions in compiled truth, not by adding a second conflicting paragraph.
- Delete nothing unless you are certain it is duplicate or broken.
- Maintenance is allowed to create follow-up tasks, but it should not invent facts.
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 · 34 lines · 13 tokens per session scan A eedbc9db483c
gbrain-maintain is a skill published in the GitHub repository laozhong86/gbrain (8 stars, last pushed 6mo ago), licensed MIT. It adds 13 tokens to every session and 252 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to gbrain-maintain, differing in 0 lines, and is treated as a copy.
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