by senna-lang · Codex Skill · ★ 64
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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 | 64 |
| Forks | 27 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 73/100 |
| Open Issues | 5 |
| Last Updated | 2026-11-07 |
| Created | 2026-07-16 |
| Platforms | claude-code, codex, go |
| Est. Tokens | ~23k |
Agent Usage Monitor context usage and provider rate limits for agents running in Herdr. Per-pane context meters — every agent pane's sidebar label shows how much of its context window the session is using ( = 130k tokens, 13% of the window), updated after each completed turn. Prompt-cache row — session-cumulative hit rate () with remaining TTL only from a recorded expiry.
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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: