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 The-PR-Agent · Agent Tool · ★ 13.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pr-agent safe to install? View the security audit →
The Original Open-Source PR Reviewer This repository contains the open-source PR Agent Project. It is not the Qodo offering for open-source projects. PR-Agent is an open-source, AI-powered code review agent and a community-maintained legacy project of Qodo. It is distinct from Qodo's primary AI code review offering, which provides a feature-rich, context-aware experience. Qodo offers a free version for open-source projects and integrates seamlessly with GitHub, GitLab, Bitbucket, and Azure DevOps for high-quality automated reviews. Sponsors PR-Agent is a community-maintained open-source project, with its ongoing development supported by our sponsors. If you'd like to support the project, consider becoming a sponsor. 🥇 Gold Sponsor <a target="blank" href="https://
| Stars | 12,985 |
| Forks | 1,840 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.2536588612219/100 |
| Open Issues | 90 |
| Last Updated | 2026-09-14 |
| Created | 2023-07-05 |
| Platforms | python |
| Est. Tokens | ~17k |
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pr-agent is 🚀 PR Agent: The Original Open-Source PR Reviewer. This project is not the Qodo free tier.. It is categorized as a Agent Tool with 13.0k GitHub stars.
pr-agent is primarily written in Python. It covers topics such as ai, anthropic, code-review.
You can find installation instructions and usage details in the pr-agent GitHub repository at github.com/The-PR-Agent/pr-agent. The project has 13.0k stars and 1840 forks, indicating an active community.
pr-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pr-agent on Agent Skills Hub include sdk-python, agentops, oh-my-pi. 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: