by romiluz13 · Claude Skill · ★ 165
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add romiluz13/cc10x
/plugin install cc10x@cc10xTaken from the project's README on GitHub.
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 | 165 |
| Forks | 25 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-21 |
| Created | 2025-10-22 |
| Platforms | claude-code, python |
| Est. Tokens | ~22k |
cc10x — The Loop Engine for Claude Code Stop chasing better models. Engineer the loop. Same model. Same Claude Code. Different outcome. The agent forgets between turns. The harness remembers across runs. cc10x writes every workflow to disk — intent, evidence, verdicts, failures — so resume, review, and verification read from the artifact, not from a context window that's already gone.
These tools work well together with cc10x for enhanced workflows:
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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: