Agent-Loop-Skills: Loop until it's better — drop-in agentic loops as open-standard Agent Skills

by gaasher · Codex Skill · ★ 177

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install Agent-Loop-Skills

/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.

Security audit verdict: SAFE · quality 67/100

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.

agent-skillsagentic-loopsagentic-workflowsai-agentsanthropicautoresearchclaudeclaude-codedata-analysisliterature-review

Quick Facts

Stars177
Forks19
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score67/100
Open Issues1
Last Updated2026-06-30
Created2026-06-15
Platformsclaude-code, codex, python
Est. Tokens~18k

About Agent-Loop-Skills

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.

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How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools