IntentGuard is a predictive runtime security framework that correlates AI agent behavior across multiple MCP servers to forecast attack campaigns before any individual action appears malicious. It constructs a Cross-MCP Temporal Attack Graph (CTAG) from live Filesystem and Webhook MCP event streams, then predicts the next attack stage and campaign
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.