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 Egonex-AI · Claude Skill · ★ 85.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Understand-Anything safe to install? View the security audit →
Understand Anything Turn any codebase, knowledge base, or docs into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. English Русский <a href="#vs-cod
| Stars | 85,122 |
| Forks | 7,176 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.3807213403335/100 |
| Open Issues | 310 |
| Last Updated | 2026-10-02 |
| Created | 2026-03-15 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~17k |
These tools work well together with Understand-Anything for enhanced workflows:
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Understand-Anything is Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI,. It is categorized as a Claude Skill with 85.1k GitHub stars.
Understand-Anything is primarily written in TypeScript. It covers topics such as antigravity-skills, business-knowledge, claude-code.
You can find installation instructions and usage details in the Understand-Anything GitHub repository at github.com/Egonex-AI/Understand-Anything. The project has 85.1k stars and 7176 forks, indicating an active community.
Understand-Anything is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Understand-Anything on Agent Skills Hub include Understand-Anything, awesome-agent-skills, claude-skills. 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: