by joeseesun · Agent Tool · ★ 231
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/joeseesun/qiaomu-app-review-insights.gitTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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 | 231 |
| Forks | 40 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-15 |
| Created | 2026-06-15 |
| Platforms | node |
| Est. Tokens | ~15k |
乔木 App 洞察 把 App Store 用户评价变成产品经理能直接使用的洞察页：痛点、机会、版本风险、证据和可分享页面。 Turn App Store reviews into product research evidence: pain points, opportunities, version risks, and voice-of-customer signals. 中文 | English 为什么值得用 App Store 评论里藏着真实需求、付费阻力、版本事故和竞品机会，但它们通常散在几百条高噪声评论里。乔木 App 洞察会自动抓取评论，用分析模型提炼结构化洞察，并生成可缓存、可分享、可复盘的 App 评价洞察页面。 它适合： 产品经理：把真实用户抱怨转成需求池和版本风险清单 独立开发者：从竞品差评里发现小产品切入口 增长 / 内容团队：把用户评价转成有证据的内容素材...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: