by gaasher · Codex Skill · ★ 177
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add gaasher/agent-loop-skills
/plugin install agent-loops@agent-loop-skills
Taken 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 | 177 |
| Forks | 19 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-30 |
| Created | 2026-06-15 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
agent-loop-skills Loop until it's better — drop-in agentic loops, packaged as open-standard Agent Skills. Autoresearch · scientific writing · data analysis · code/SQL/prompt optimization · red-teaming — each a generic, reusable loop you bind to your own task at invocation time, that iterates against a real signal until the work is actually better. A real run.
Looking for a Agent-Loop-Skills alternative? If you're comparing Agent-Loop-Skills 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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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: