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 nvk · Codex Skill · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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github.com/nvk/llm-wiki LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation. Ships as a Claude Code plugin or a portable AGENTS.md for Codex and others. Obsidian-compatible. Install Claude Code (native plugin): OpenAI Codex / Any LLM Agent (idea file): The file contains the complete wiki protocol as a single portable document — works with any LLM agent that can read/write files and search the web. New to a topic? One command, from anywhere: Creates a topic wiki, launches parallel agents, and keeps researching for an hour — drilling into subtopics each round finds. Come back to a f
| Stars | 1,060 |
| Forks | 104 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 74.7073666399094/100 |
| Open Issues | 10 |
| Last Updated | 2026-08-23 |
| Created | 2026-04-04 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
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llm-wiki is LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.. It is categorized as a Codex Skill with 1.1k GitHub stars.
llm-wiki is primarily written in Python. It covers topics such as agentic-ai, agentic-skills, agentic-workflow.
You can find installation instructions and usage details in the llm-wiki GitHub repository at github.com/nvk/llm-wiki. The project has 1.1k stars and 104 forks, indicating an active community.
llm-wiki is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm-wiki on Agent Skills Hub include llm-wiki-agent, swarmvault, babysitter. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.