by alchaincyf · AI Tool · ★ 25
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 | 25 |
| Forks | 3 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 56/100 |
| Last Updated | 2026-10-13 |
| Created | 2026-08-23 |
| Platforms | python |
| Est. Tokens | ~14k |
GPT-image-2 的 prompt 工程方法论。核心：用真实参考名替代形容词，prompt 默认中文短句。含单图 playbook、批量网格生成、失败模式树。跨 agent 通用。
These tools work well together with huashu-gpt-image for enhanced workflows:
Explore other popular ai tool tools:
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: