github C# analyzed 11adf85 deep scan unknown

LJCGJ/Quorum.Studio

github

AI-powered test automation for QA and security — orchestrating Claude, Gemini, and OpenAI together via MCP. Cross-platform desktop app (.NET 8 + Avalonia)

maintainer
LJCGJ
licence
GPL-3.0
first seen
2026-07-23
last seen
2026-07-27
releases · 30d
0
short id
risk 0/100 · heuristic grade
A minimal inferred analyzer v33 (current)
  • trust mitigators mixed − 3

These factors total -3, not 0: the score is bounded to 0–100 after they are summed, so this one is floored at 0. The factors are left as they were applied rather than rewritten to make the column add up.

mixed

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

grade last moved 5d ago · see ecosystem CVEs →

vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

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

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live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:LJCGJ/Quorum.Studio/badge.svg)](https://mcpobservatory.com/servers/github:LJCGJ/Quorum.Studio/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 LJCGJ.