cursor — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited cursor (MCP Server) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
v2.0.0 (evolved from AEGIS prototype)
Runtime Firewall and Forensic Replay for AI Agents.
Runtime Security Layer for MCP-based AI Agents.
ash pip install aes-mcp
ash aes-mcp --demo episode_1
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.