No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by lakeday-org · AI Tool · ★ 162
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is perch safe to install? View the security audit →
<img alt="perch" src="https://img.shields.io/badge/perch-lint%20%E2%9C%93%20%C2%B7%20docs%20%E2%9C%93%20%C2%B7%20security%20%E2%9C%93-ffb454?labelColor=1a1d26&logo=data:image/svg%2Bxml;base64,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
| Stars | 162 |
| Forks | 10 |
| Language | JavaScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 65.6657610058497/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-20 |
| Created | 2026-09-16 |
| Platforms | cli, node |
| Est. Tokens | ~14k |
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perch is Semantic code linting with Jev. It is categorized as a AI Tool with 162 GitHub stars.
perch is primarily written in JavaScript. It covers topics such as ai, cli, code-quality.
You can find installation instructions and usage details in the perch GitHub repository at github.com/lakeday-org/perch. The project has 162 stars and 10 forks, indicating an active community.
perch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to perch on Agent Skills Hub include roam-code, agnix, fossil-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: