by nju-websoft · Agent Tool · ★ 114
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 | 114 |
| Forks | 13 |
| Language | Python |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 65/100 |
| Open Issues | 1 |
| Last Updated | 2024-11-29 |
| Created | 2024-08-18 |
| Platforms | python |
| Est. Tokens | ~1506k |
PairCoder 🤖💻 This paper has been accepted by ASE 2024 and awarded the 🏆 ACM SIGSOFT Distinguished Paper Award. 📖Overview • 🧪Environment • 📂Dataset Setup • 🚀Quick Start • 📝Citation 📖Overview In this paper, we draw on pair programming practices to propose PairCoder, a novel LLM-based framework for code generation.
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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: