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Agent skill

Knowledge Keeper

by Hello-QM in Hello-QM/catgo-LRG

Automatically logs new discoveries to CLAUDE.md files. An agent skill from Hello-QM/catgo-LRG.

AGPL-3.0Auto-check passedAgent Workflows

Install Knowledge Keeper

skills CLI
$ npx skills add Hello-QM/catgo-LRG --skill knowledge-keeper -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Hello-QM/catgo-LRG knowledge-keeper --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/knowledge-keeper .claude/skills/knowledge-keeper && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
knowledge-keeper
GitHub stars
205
Token cost
~461 tokens
SKILL.md length
170 words
Files
1
Skills in repo
75
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Automatically logs new discoveries to CLAUDE.md files. An agent skill from Hello-QM/catgo-LRG.

  • Discovering pitfalls
  • SKILL.md covers When to Update, Where to Update, Entry Format and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Finding performance issues

What it does

Knowledge Keeper is an agent skill from Hello-QM/catgo-LRG. Automatically logs new discoveries to CLAUDE.md files. Triggers when fixing bugs, discovering pitfalls, finding performance issues, or learning new patterns in the codebase.

Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Agent instruction files. It works with WebAssembly. The repository describes itself as: AI-driven workbench for computational materials science — interactive 3D structure viewer, natural-language CatBot assistant, visual DAG workflow engine, HPC job submission… The licence is AGPL-3.0.

When your agent uses it

  • Discovering pitfalls
  • Finding performance issues
  • Learning new patterns in the codebase

Example prompts

  • “/knowledge-keeper”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit fd6291b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Knowledge Keeper loads about 461 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 170 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~461

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 170 words, ~461 tokens.

Download SKILL.mdSave it as .claude/skills/knowledge-keeper/SKILL.md (or your agent's skills folder).
name
knowledge-keeper
description
Automatically logs new discoveries to CLAUDE.md files. Triggers when fixing bugs, discovering pitfalls, finding performance issues, or learning new patterns in the codebase.
user-invocable
false

Knowledge Keeper

You are responsible for maintaining the project's institutional knowledge.

When to Update

After ANY of these events:

  • A bug is fixed -> log root cause and solution
  • A non-obvious behavior is discovered -> log as pitfall
  • A performance issue is identified -> log cause and fix
  • A new integration pattern works -> log as learned pattern
  • A workaround is needed -> log why and what

Where to Update

  • Match the discovery to the closest subdirectory CLAUDE.md
  • If cross-cutting -> update root CLAUDE.md
  • Existing subdirectory CLAUDE.md files:
    • src/lib/structure/CLAUDE.md — 3D viewer, rendering, InstancedMesh
    • src/lib/symmetry/CLAUDE.md — moyo-wasm, symmetry analysis
    • src/lib/structure/workers/CLAUDE.md — Bond Worker, WASM fallback
    • extensions/rust/src/CLAUDE.md — Rust WASM entry points
    • server/CLAUDE.md — Python backend, MCP server, CLI agents
    • src/lib/api/CLAUDE.md — Data access layer, three-tier routing

Entry Format

### [YYYY-MM-DD] Short Title
**Category**: bug | pitfall | performance | pattern | workaround
**Context**: What were we trying to do
**Discovery**: What we found
**Solution/Note**: How it was resolved or what to watch out for

Rules

  • Keep entries concise (3-5 lines max)
  • Never delete existing entries unless they are proven wrong
  • If a section doesn't exist, create it under the appropriate heading
  • Deduplicate: check if similar entry already exists before adding
  • Use the date format from the currentDate context
  • Write the entry IMMEDIATELY after discovery, don't batch or defer

© Hello-QM, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/knowledge-keeper of Hello-QM/catgo-LRG.

Open the folder on GitHubat commit fd6291b

Compare with similar skills

Knowledge Keeper next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Knowledge Keeper compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Knowledge Keeper this skillHello-QM/catgo-LRG205—~461Automated safety check: PassAGPL-3.0
Bringupjenissimo/bottleship132—~2.9kAutomated safety check: PassApache-2.0
Sync Docsayutaz/piper-plus220—~1.4kAutomated safety check: PassMIT
Using Agent Skillsaddyosmani/agent-skills103k4 repos~2.4kAutomated safety check: PassMIT
Claude ReflectBayramAnnakov/claude-reflect1.7k2 repos~627Automated safety check: PassMIT
Writing For Agentsbestofjs/bestofjs3.1k19 repos~2.7kAutomated safety check: PassMIT

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Works with

Categories

Questions about Knowledge Keeper

What does Knowledge Keeper do?

Automatically logs new discoveries to CLAUDE.md files. An agent skill from Hello-QM/catgo-LRG. Knowledge Keeper is an agent skill from Hello-QM/catgo-LRG.md files.

When should I use Knowledge Keeper?

Knowledge Keeper fits situations like: discovering pitfalls; finding performance issues; learning new patterns in the codebase.

How do I install Knowledge Keeper in Claude Code?

Run `npx skills add Hello-QM/catgo-LRG --skill knowledge-keeper -a claude-code`. Or copy the skill folder (.claude/skills/knowledge-keeper in Hello-QM/catgo-LRG) into .claude/skills/knowledge-keeper in your project. Claude Code loads it when a task matches its description.

How do I install Knowledge Keeper in Codex?

Run `npx skills add Hello-QM/catgo-LRG --skill knowledge-keeper -a codex`. Or copy the skill folder (.claude/skills/knowledge-keeper in Hello-QM/catgo-LRG) into .agents/skills/knowledge-keeper in your project. Codex loads it when a task matches its description.

Can I use Knowledge Keeper in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Hello-QM/catgo-LRG --skill knowledge-keeper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/knowledge-keeper, .gemini/skills/knowledge-keeper, .github/skills/knowledge-keeper and .opencode/skills/knowledge-keeper in your project.

What does Knowledge Keeper need to run?

SKILL.md names no scripts, command-line tools or credentials: Knowledge Keeper is instructions for the agent only. Our summary lists: Python 3.

Does Knowledge Keeper access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Knowledge Keeper safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Knowledge Keeper use?

Knowledge Keeper is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Knowledge Keeper use?

About 461 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Knowledge Keeper?

Skills that share tags, products or a category with Knowledge Keeper: Bringup (jenissimo/bottleship, 132 stars), Sync Docs (ayutaz/piper-plus, 220 stars), Using Agent Skills (addyosmani/agent-skills, 103k stars) and Claude Reflect (BayramAnnakov/claude-reflect, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Knowledge Keeper?

Hello-QM (a GitHub user) maintains it in Hello-QM/catgo-LRG, which has 205 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 22, 2026.

Source: Hello-QM/catgo-LRG on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.