by alfadur7 · Claude Skill · ★ 173
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/alfadur7/llm-wiki-newsroom.gitTaken from the project's README on GitHub.
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.
| Stars | 173 |
| Forks | 27 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 66/100 |
| Last Updated | 2026-11-02 |
| Created | 2026-06-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~25k |
LLM Wiki Newsroom A multi-agent AI knowledge base run by a five-role "newsroom" — open-source, local-first, no API keys, no vendor lock-in. Drop articles, documents, and PDFs into the folder, type a single command, and the newsroom — powered by an agent like Claude Code — reads them, extracts entities, concepts, and relationships, and organizes everything into a fully cross-referenced wiki, a...
These tools work well together with llm-wiki-newsroom for enhanced workflows:
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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: