llm-wiki-manager: Agent Skills plugin for a persistent LLM-managed markdown wiki

by sametbrr · Codex Skill · ★ 72

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install llm-wiki-manager

git clone https://github.com/sametbrr/llm-wiki-manager ~/.claude/skills/llm-wiki-manager

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsaiclaudeclaude-codecodexknowledge-basellmnote-takingpersonal-knowledge-managementpython

Quick Facts

Stars72
Forks9
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score72/100
Last Updated2026-11-02
Created2026-05-07
Platformsclaude-code, codex, python
Est. Tokens~13k

About llm-wiki-manager

LLM Wiki Manager A Claude Code skill for building and maintaining a personal LLM-managed wiki — a persistent, compounding knowledge base where the LLM does all the writing, cross-referencing, and bookkeeping while you curate sources and ask questions.

Compatible Skills

These tools work well together with llm-wiki-manager for enhanced workflows:

  • stash — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • LLM-Wiki — semantic(0.49)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • llm-wiki-agent — semantic(0.46)+complementary+rare_topics+same_lang+shared_platform (65%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools