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 a7t-ai · MCP Server · ★ 216
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is poirot safe to install? View the security audit →
POIROT Investigating your Claude Code sessions. A native macOS companion that lets you browse sessions, explore diffs, and re-run commands — all from a polished SwiftUI interface. Features • Capabilities • Getting Started • Architecture • Contributing • Roadmap No login. No tracking. No analytics. No BYOK. No extra cost. Works offline. Less than 6 MB. <img src="https://img.youtube.com/vi/JLvNSRZrxd
| Stars | 216 |
| Forks | 14 |
| Language | Swift |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.7302177662898/100 |
| Open Issues | 5 |
| Last Updated | 2026-08-28 |
| Created | 2026-02-19 |
| Platforms | claude-code, codex, mcp |
| Est. Tokens | ~18k |
These tools work well together with poirot for enhanced workflows:
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poirot is A native macOS companion for Claude Code that lets you browse sessions, explore diffs, and re-run commands.. It is categorized as a MCP Server with 216 GitHub stars.
poirot is primarily written in Swift. It covers topics such as ai, claude, claude-code.
You can find installation instructions and usage details in the poirot GitHub repository at github.com/a7t-ai/poirot. The project has 216 stars and 14 forks, indicating an active community.
poirot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to poirot on Agent Skills Hub include TokenEater, poirot, claude-code-apple-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: