by plastic-labs · Codex Skill · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g @honcho-ai/codex-honcho
git clone https://github.com/plastic-labs/codex-honchoTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 53 |
| Forks | 15 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 74/100 |
| Open Issues | 16 |
| Last Updated | 2026-09-01 |
| Created | 2026-06-05 |
| Platforms | codex, node |
| Est. Tokens | ~16k |
codex-honcho Persistent memory for OpenAI Codex, powered by Honcho from Plastic Labs. Give Codex long-term memory that survives context resets, session restarts, and fresh conversations. Codex remembers what you're working on, your preferences, and the decisions you've made — across every project.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: