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 ndjordjevic · Claude Skill · ★ 76
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pin-llm-wiki safe to install? View the security audit →
pin-llm-wiki A multi-editor skill that automates the Karpathy LLM Wiki pattern: drop in URLs, get a local, citable, cross-referenced wiki that agents can read before answering. Where it runs: Claude Code (slash commands), GitHub Copilot and Cursor (install the skill + follow the same workflows; see below). Why use it turns external sources into a durable knowledge base: keeps immutable captures of the original sources. holds summarized, wikilinked pages with citations back to raw files. tells AI agents to consult the wiki before answering domain questions. gives humans and agents a simple queue for future sources. The result is a repo-local memory layer: reviewable in git, queryable by agents, and less dependent on whatever context happens to fit in one chat. Install Use the CLI: (project) or (global, e.g. ). Project installs land in (Cursor, Copilot, …) and (Claude Code)—not in (that path is only this repo’s package layout). For Claude Code + Cursor + Copilot in one repo, create first so the CLI can install one real copy under .
| Stars | 76 |
| Forks | 15 |
| Language | Python |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 72.0783511664211/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-03 |
| Created | 2026-04-21 |
| Platforms | browser, claude-code, python |
| Est. Tokens | ~15k |
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pin-llm-wiki is Skill for Claude, Cursor & Copilot that automates the Karpathy LLM Wiki workflow: ingest web, GitHub, and YouTube URLs into a well-structured, citable, cross-referenced knowledge base with automatic l. It is categorized as a Claude Skill with 76 GitHub stars.
pin-llm-wiki is primarily written in Python. It covers topics such as agent-skill, claude-skill, cursor-skill.
You can find installation instructions and usage details in the pin-llm-wiki GitHub repository at github.com/ndjordjevic/pin-llm-wiki. The project has 76 stars and 15 forks, indicating an active community.
pin-llm-wiki is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to pin-llm-wiki on Agent Skills Hub include creative-director-skill, rollinggo-hotel-skill-cn, anyviz. 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: