A personal running coach that turns your Garmin data into daily briefings, graded workout report cards, and an adaptive training plan — driven entirely through MCP.
- capability exposure inferred + 35
- tool safety inferred + 12
- trust mitigators mixed − 3
inferred 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.
graded 8m ago · see ecosystem CVEs →
- B · 32 → C · 44
No known CVEs for this server.
- high dangerous code
committed secret: Google OAuth client secret
analyzed commit da31349 · analyzer v33 · 7h ago
skills & prompt files 1
- agent-rules natejswenson-local-fitness-da31349/CLAUDE.md
danger signals1
- committed secret Google OAuth client secret natejswenson-local-fitness-da31349/tests/test_plan_calendar_settings.py :29
GOCSPX…(27 chars, redacted)
[](https://mcpobservatory.com/servers/github:natejswenson/local-fitness/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 natejswenson.