Multi-agent orchestration built as production infrastructure: typed planning, a sandboxed tool registry, race-safe human-in-the-loop, deterministic replay, and a provably-terminating LangGraph — measured, never declared. 255 offline tests, CI-green.
- capability exposure inferred + 20
- recent drift inferred + 12
- tool safety inferred + 12
inferred
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.
graded 2m ago · see ecosystem CVEs →
- B · 20 → C · 44
No known CVEs for this server.
- high dangerous code
committed secret: Anthropic key, OpenAI key
analyzed commit cb68bea · analyzer v28 · 1d ago
skills & prompt files 1
danger signals2
- committed secret Anthropic key anbsamsam17-multi-agent-orchestrator-cb68bea/tests/test_memory_redaction.py :11
sk-ant…(35 chars, redacted) - committed secret OpenAI key anbsamsam17-multi-agent-orchestrator-cb68bea/tests/test_memory_redaction.py :12
sk-pro…(30 chars, redacted)
- recent drift +12 capability drift →
[](https://mcpobservatory.com/servers/github:anbsamsam17/multi-agent-orchestrator/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 anbsamsam17.