by getagentseal · MCP Server · ★ 382
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install agentseal # or: npm install agentseal
pip install agentseal[shield] # includes watchdog + desktop notification deps
Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. 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 | 382 |
| Forks | 67 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 70/100 |
| Open Issues | 11 |
| Last Updated | 2026-06-11 |
| Created | 2026-03-03 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~1081k |
Security toolkit for AI agents. Red-team prompts, detect MCP poisoning,scan skill files, trace toxic data flows. 225+ tests across 28 agents. Docs · MCP Registry · Dashboard · Blog Quick Start That's it. AgentSeal finds dangerous skill files, poisoned MCP server configs, and
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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: