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 The01Geek · Agent Tool · ★ 129
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is prflow safe to install? View the security audit →
PRFlow — agentic coding that ships on real codebases AI coding agents dazzle on a demo repo, then stall on a real ticket in a large production codebase. PRFlow is the Claude Code plugin that closes that gap — it carries one feature request all the way to a complete, tested, reviewed, documented pull request, so you do the final review and merge, not the cleanup. Quick start [!TIP] Just ask your agent. Paste this into Claude Code and it handles step 1 for you — the install, the setup, and the PATH dependencies doesn't cover. Then ship your first PR with step 2. 1. Install and set up — run these commands in order: bash claude plug
| Stars | 129 |
| Forks | 28 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.4186161737773/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-01 |
| Created | 2026-05-20 |
| Platforms | claude-code, python |
| Est. Tokens | ~18k |
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prflow is Turn feature requests into review-ready pull requests: issue, implementation, tests, a review-and-fix loop, and docs. Runs locally or on GitHub Actions, and is built for complex brownfield repos. Each. It is categorized as a Agent Tool with 129 GitHub stars.
prflow is primarily written in Python. It covers topics such as agentic-ai, ai-agents, ai-coding-assistant.
You can find installation instructions and usage details in the prflow GitHub repository at github.com/The01Geek/prflow. The project has 129 stars and 28 forks, indicating an active community.
prflow is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to prflow on Agent Skills Hub include spellbook, claude-arsenal, claude-code-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: