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 greptileai · Agent Tool · ★ 399
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
greptile skills Agent Skills for automated PR review workflows. Supports GitHub, GitLab, Perforce, and local Greptile CLI reviews. Requires + CLI (GitHub), CLI (GitLab), CLI (Perforce), or the Greptile CLI for local reviews. Skills and auto-detect the platform (GitHub, GitLab, or Perforce) from the environment. runs against the current local git checkout with the Greptile CLI. Requirements Authenticate before use: , , configure // for Perforce, or . Install bash git clone https://github.com/grepti
| Stars | 399 |
| Forks | 42 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.6408009287096/100 |
| Open Issues | 11 |
| Last Updated | 2026-09-11 |
| Created | 2026-02-11 |
| Est. Tokens | ~3k |
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skills is Agent skill for checking PR review comments, status checks, and description completeness. It is categorized as a Agent Tool with 399 GitHub stars.
You can find installation instructions and usage details in the skills GitHub repository at github.com/greptileai/skills. The project has 399 stars and 42 forks, indicating an active community.
skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skills on Agent Skills Hub include awesome-android-agent-skills, synalinks-skills, agent-skills. 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: