by ussumant · Claude Skill · ★ 330
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Knowledge Base & RAG
git clone https://github.com/ussumant/llm-wiki-compiler.git
claude plugin install llm-wiki-compiler
Taken from the project's README on GitHub.
Flagged: installs a cron job. 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.
| Stars | 330 |
| Forks | 37 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-21 |
| Created | 2026-04-04 |
| Platforms | claude-code |
| Est. Tokens | ~24k |
LLM Wiki Compiler A Claude Code and Codex-compatible plugin that compiles knowledge into a topic-based wiki — from scattered markdown files or entire codebases. Reduce context costs by 90% and give your agent a synthesized understanding of any project.
Looking for a llm-wiki-compiler alternative? If you're comparing llm-wiki-compiler with other claude skill tools, these 4 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM
An open-source AI based digital marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CR
Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to ho
Report issues related to MCP integration with Claude here.
Explore other popular claude skill tools:
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: