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 av · Codex Skill · ★ 198
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is facts safe to install? View the security audit →
https://github.com/user-attachments/assets/80981efb-8bab-47ee-a567-3eb6071321ad Read your entire project spec in 30 seconds. Verify it in one command. Your project has 48 facts, 31 of them implemented: code-backed, verified by command. 12 are specs your agent is working through. 5 are rough drafts you'll refine later. You know all of this because you ran . That's a file, where each line is one atomic claim about your project. Tags track where each fact is in its lifecycle: (rough idea), (precise, ready to build), (true, code-backed). Your agent manages the transitions. The format is a flat list of claims: short enough to read in ful
| Stars | 198 |
| Forks | 9 |
| Language | Rust |
| Category | Codex Skill |
| Quality Score | 69.0146656715611/100 |
| Last Updated | 2026-06-03 |
| Created | 2026-04-29 |
| Platforms | claude-code, codex, gemini, rust |
| Est. Tokens | ~163k |
These tools work well together with facts for enhanced workflows:
Looking for a facts alternative? If you're comparing facts with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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facts is Antidote for fluffy specs, a toolkit for fact-driven development with AI agents. It is categorized as a Codex Skill with 198 GitHub stars.
facts is primarily written in Rust. It covers topics such as agents, claude-code, codex.
You can find installation instructions and usage details in the facts GitHub repository at github.com/av/facts. The project has 198 stars and 9 forks, indicating an active community.
The top alternatives to facts on Agent Skills Hub include cli, Conductor-for-all, Overture. 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: