No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by sametbrr · Agent Tool · ★ 63
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm-wiki-manager safe to install? View the security audit →
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. 🇹🇷 Türkçe için README.tr.md Quick Start Start a new Claude Code session in your research folder: Features Instead of RAG — where the LLM rediscovers answers from raw documents on every query — this pattern has the LLM compile raw sources into a persistent, interlinked markdown wiki. Each new source enriches existing pages. Cross-references are built eagerly. Contradictions are flagged. Knowledge compounds over time. Implements Karpathy's LLM Wiki pattern as a full Claude Code skill with 8 operating modes (including multi-wiki
| Stars | 63 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72.0209653173401/100 |
| Last Updated | 2026-06-11 |
| Created | 2026-05-07 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
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llm-wiki-manager is Skill for a persistent LLM-managed wiki — the LLM writes and cross-references while you curate sources.. It is categorized as a Agent Tool with 63 GitHub stars.
llm-wiki-manager is primarily written in Python. It covers topics such as agent-skills, ai, claude.
You can find installation instructions and usage details in the llm-wiki-manager GitHub repository at github.com/sametbrr/llm-wiki-manager. The project has 63 stars and 10 forks, indicating an active community.
llm-wiki-manager is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm-wiki-manager on Agent Skills Hub include ChatCrystal, mcp-server-atlassian-confluence, claudex. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: