gbrain-maintain

gbrain-maintain is a skill for Claude Code, Codex from laozhong86/gbrain. It costs 13 tokens per session (252 once invoked), scanned A, a copy of gbrain-maintain, MIT.

A scheduled review process for a knowledge graph, a linked collection of pages and facts. It checks for outdated pages, contradictions, orphaned pages, inconsistent tags, and stale search indexes.

In plain words
What is it for?
Finding pages that need updates, comparing newer evidence with stored conclusions, checking links and tags, refreshing search data, and creating follow-up tasks.
Why use it?
It helps keep a growing knowledge base accurate, connected, and easy to search. It also records each maintenance review for later reference.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for gbrain. Also seen: built for gbrain.

Install

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.

agentmods
npx agentmods add skills/laozhong86/gbrain/maintain
Any agent
npx skills add laozhong86/gbrain --skill maintain
Clone the repo
git clone --depth 1 https://github.com/laozhong86/gbrain

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for gbrain-maintain

README.md
[![agentmods](https://agentmods.dev/badge/skills/laozhong86/gbrain/maintain.svg)](https://agentmods.dev/skills/laozhong86/gbrain/maintain)
Your own site
<a href="https://agentmods.dev/skills/laozhong86/gbrain/maintain"><img src="https://agentmods.dev/badge/skills/laozhong86/gbrain/maintain.svg" alt="Measured on agentmods" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 252 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00013 $0.00252
Opus 5 $0.00006 $0.00126
Sonnet 5 $0.00003 $0.00050
Haiku 4.5 $0.00001 $0.00025

Measured 6d ago against content hash eedbc9db483c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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 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.

Origin

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.

skills/maintain/SKILL.md · 34 lines

What it actually says

Maintain Skill

Workflow

  1. Check stale pages with gbrain list --limit 50 and read candidates that have not been touched recently.
  2. Compare compiled truth against gbrain timeline <slug> to catch pages whose state no longer matches newer evidence.
  3. Use gbrain backlinks <slug> to find orphans and weakly connected pages.
  4. Review tag consistency with gbrain tags <slug> and gbrain stats.
  5. Refresh semantic recall with gbrain embed --stale after 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.
Changes

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.

  1. 6d ago First seen · 34 lines · 13 tokens per session scan A eedbc9db483c

Subscribe to this mod's changes

gbrain-maintain is a skill published in the GitHub repository laozhong86/gbrain (8 stars, last pushed 5mo ago), licensed MIT. It adds 13 tokens to every session and 252 once invoked, about $0.0001 per session on Opus 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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