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 msitarzewski · Agent Tool · ★ 546
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agency-agents-app safe to install? View the security audit →
Agency Agents A native installer for AI agents. Agency Agents is a small, native app for browsing, installing, and tracking the agent personas from across the AI coding tools you actually use. It is full source, MIT-licensed, local-first, and does not run telemetry. Why This Exists The repo is a useful catalog of specialist AI agent personas, but every coding tool has its own agent format and install path. Claude Code, Codex, Cursor, Gemini CLI, Qwen, opencode, Copilot, and Osaurus all want similar content in slightly different places. Agency Agents gives that catalog a native control surface: browse the agent catalog by division and role inspect the source persona before installing it i
| Stars | 546 |
| Forks | 135 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70.352176079773/100 |
| Open Issues | 16 |
| Last Updated | 2026-09-16 |
| Created | 2026-06-08 |
| Platforms | node |
| Est. Tokens | ~16k |
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agency-agents-app is Agency Agents is a small, native app for browsing, installing, and tracking the agent personas from msitarzewski/agency-agents across the AI coding tools you actually use.. It is categorized as a Agent Tool with 546 GitHub stars.
agency-agents-app is primarily written in TypeScript.
You can find installation instructions and usage details in the agency-agents-app GitHub repository at github.com/msitarzewski/agency-agents-app. The project has 546 stars and 135 forks, indicating an active community.
agency-agents-app is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agency-agents-app on Agent Skills Hub include skills, awesome-android-agent-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: