by cairn-dev · Agent Tool · ★ 220
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Flagged: reads sensitive env vars. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 220 |
| Forks | 26 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 21 |
| Last Updated | 2025-07-02 |
| Created | 2025-05-23 |
| Platforms | python |
| Est. Tokens | ~3944k |
Github-integrated background agents, automating end-to-end software engineering, fully open source. 🚀 Quick Start 🤝 Contributing 🪨 What is Cairn? Cairn is a simple open-source background-agent system for coding, built in the style of a product management tool.
Looking for a cairn alternative? If you're comparing cairn with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🤖 Agentfy is a modular microservices architecture designed to process user requests and execute workflows acr
🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built AI skills, agents, MCP serve
AI-first security scanner. NEW in v2026.7: Claude Code compromise detection — vet .claude/ hooks, permissions
MCP-NixOS - Model Context Protocol Server for NixOS resources
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth,
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: