github not analyzable

JKasteele/ai-act-companion

github

Local-first, explainable EU AI Act risk classifier with risk-assessment/DPIA/bias/AI-security generators (NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS) - runs as a Claude Code plugin.

maintainer
JKasteele
license
MIT
first seen
2026-06-14
last seen
2026-06-14
releases · 30d
0
short id
riskinsufficient evidence

Insufficient evidence to grade. This server's source has not been statically analyzed, so a low grade would only mean "nothing found", not "nothing there". We don't show a reassuring grade we can't stand behind. Attested signals (CVEs, provenance) below still apply.

Once the source is analyzed (see the analysis flag in the header), a graded score appears here. How analysis works: methodology.

graded 12m ago · see ecosystem CVEs →

vulnerabilities0 CVEs

no known CVEs for this server.

tool safetyall quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

embed badgereadme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:JKasteele/ai-act-companion/badge.svg)](https://mcpobservatory.com/servers/github:JKasteele/ai-act-companion/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of JKasteele.