by seedprod · Codex Skill · ★ 93
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Flagged: reads agent memory. 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 | 93 |
| Forks | 20 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 73/100 |
| Last Updated | 2026-01-31 |
| Created | 2026-01-31 |
| Platforms | claude-code, python |
| Est. Tokens | ~9k |
OpenClaw Prompts and Skills If you've seen OpenClaw demos and wondered "how does it feel so human?" — this repo has the answer. The Short Version OpenClaw's personality comes from markdown files. That's it. No secret sauce, no special model fine-tuning. Just well-crafted prompts that get injected into the system prompt before every message.
Looking for a openclaw-prompts-and-skills alternative? If you're comparing openclaw-prompts-and-skills with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A Codex/Claude skill that maintains per-repo operating theory documents.
Explore other popular codex skill tools:
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: