Flagged: installs a cron job. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by zosmaai · MCP Server · ★ 581
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pi-llm-wiki safe to install? View the security audit →
@zosmaai/pi-llm-wiki English हिंदी Self-maintaining, Obsidian-compatible knowledge base for pi. Follows Andrej Karpathy's LLM Wiki pattern.
| Stars | 581 |
| Forks | 43 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.9762651172401/100 |
| Open Issues | 16 |
| Last Updated | 2026-09-15 |
| Created | 2026-04-27 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
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pi-llm-wiki is Self-maintaining, Obsidian-compatible knowledge base for pi — turn raw sources into an interlinked wiki that compounds. Native Open Knowledge Format (OKF) v0.2.. It is categorized as a MCP Server with 581 GitHub stars.
pi-llm-wiki is primarily written in TypeScript. It covers topics such as ai-memory, interoperability, karpathy.
You can find installation instructions and usage details in the pi-llm-wiki GitHub repository at github.com/zosmaai/pi-llm-wiki. The project has 581 stars and 43 forks, indicating an active community.
pi-llm-wiki is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pi-llm-wiki on Agent Skills Hub include llm-wiki, iwe, swarmvault. 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: