by mauhpr · MCP Server · ★ 197
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install agentlint
pip install agentlint[mcp]Taken from the project's README on GitHub.
Flagged: installs a background service. 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 | 197 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 5 |
| Last Updated | 2026-11-03 |
| Created | 2026-02-17 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~20k |
agentlint Real-time guardrails for AI coding agents — code quality, security, and infrastructure safety. Works with Claude Code, Cursor, Kimi, Grok, Gemini, Codex, Continue.dev, OpenAI Agents SDK, MCP hosts, and custom frameworks. AI coding agents drift during long sessions — they introduce API keys into source, skip tests, force-push to main, and leave debug statements behind.
These tools work well together with agentlint for enhanced workflows:
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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: