by Nopon-Knowledge · Codex Skill · ★ 99
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. 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 | 99 |
| Forks | 4 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63/100 |
| Last Updated | 2026-09-17 |
| Created | 2026-08-22 |
| Platforms | codex, python |
| Est. Tokens | ~10k |
华为杯研究生数模助手 去除 AI 痕迹，让论文表达更自然。 面向华为杯论文的 AI 痕迹评阅、去 AI 味与学术表达润色 去除 AI 痕迹 · 快速开始 · 检测与分级 · 竞赛工作流 · 图表与论文 · 脚本工具 本 Skill 重点提供 “去除 AI 痕迹” 功能：找出重复套话、机械段落与空泛结论，改写为具体、连贯的学术表达，并对照核查事实、公式和引用。 同时支持规则核验、可复现建模、图表排版与提交审计，覆盖华为杯从准备到交付的工作流程。 定位问题 完成改写 复核原意 原文证据修改优先级
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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: