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trionnemesis/healthcare-opendata-mcp

https://github.com/trionnemesis/healthcare-opendata-mcp · scanned 2026-06-16 00:41 UTC (2 months, 1 week ago)

21 raw signals (3 security + 18 graph)

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Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 18 actionable findings from 2 signal sources. 3 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
97.4
/100
Security checks
97
3 findings
System graph
97
88.9% cov · 15 findings
Critical
0
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Agents
10
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 1 Medium 4 Low 11 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 3 System graph 15 Crowd 0 Layer: Quality 7 Software 7 Hardware 1 Frontend 1 Security 1 Cicd 1
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Scan summary Repository scanned at 97.4/100 with 88.9% coverage. It contains 392 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 18 findings — concentrated in software (7), quality (7), hardware (1). Risk profile is low: 0 critical, 0 high, 2 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 16 of 18 actionable findings. 21 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

high Security checks quality Testing conf 0.78 Foundry mined test ci gap after feedback: trionnemesis/healthcare-opendata-mcp
Graph query export: Feedback exposes missing tests or CI Query id: test_ci_gap_after_feedback Query type: motif_query Intent: Hard negatives for feedback/fix chains without adequate guardrails. Motif: test_ci_gap_after_feedback Training usage: hard_negative Graph gold label: weak_supervision_needs_…
medium Security checks quality Practices conf 0.62 Foundry mined assumption checks: trionnemesis/healthcare-opendata-mcp
Comment chain pattern product: assumption_checks Repo: trionnemesis/healthcare-opendata-mcp Thread: trionnemesis/healthcare-opendata-mcp#1 Outcome: ambiguous_needs_more_evidence Thread label: thread_has_human_issue_and_fix_context Source graph label: source_artifact_without_verification_graph Reaso…
medium Security checks quality maintenance conf 0.70 Foundry mined blueprint gap alignment: trionnemesis/healthcare-opendata-mcp
Graph query export: Human feedback aligned with blueprint or architecture gaps Query id: blueprint_gap_alignment Query type: motif_query Intent: Curriculum-gap examples connecting issue threads to helicopter-view gaps. Motif: blueprint_gap_alignment Training usage: curriculum_gap Graph gold label: …
medium System graph security Coverage conf 1.00 No auth library detected
The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). The repo has auth/admin/session surface indicators, so auth may live in custom code, in a separate service, or be missing.
auth
medium System graph cicd CI/CD security conf 1.00 No CI/CD pipelines detected
No GitHub Actions, GitLab CI, or CircleCI configs found. Without CI you can't gate deploys on tests/lints.
CI/CD securityCoverage
low System graph quality Debug conf 1.00 Debug logging residue appears in source files
Found 15 console/debugger/print-style debug statements in non-test source. This is a common fast-generation residue before production cleanup.
CleanupRepo hardeningGenerated repo pattern
low System graph hardware Supply chain conf 1.00 Docker base image is tag-pinned but not digest-pinned: python:3.11-slim
Container tags can be retagged upstream. Pin production base images to a reviewed digest (`image@sha256:...`) when reproducibility and supply-chain integrity matter.
Dockerfile:2 containersPinned dependencies
low System graph quality Integrity conf 1.00 4 occurrences Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: src/health_opendata_mcp/adapters/static_csv.py:discover, src/health_opendata_mcp/adapters/nhi.py:discover This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consolidate or document why t…
4 occurrences
repo-level (4 hits)
duplicatesduplication
low System graph software Dead code conf 1.00 Possibly dead Python function: authorize
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/health_opendata_mcp/repository/query_executor.py:27
low System graph software Dead code conf 1.00 Possibly dead Python function: default_http_get
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/health_opendata_mcp/adapters/_http.py:11
low System graph software Dead code conf 1.00 Possibly dead Python function: execute_readonly
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/health_opendata_mcp/repository/query_executor.py:43
low System graph software Dead code conf 1.00 Possibly dead Python function: handle_data
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/health_opendata_mcp/adapters/_pcc_detail.py:92
low System graph software Dead code conf 1.00 Possibly dead Python function: handle_endtag
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/health_opendata_mcp/adapters/_pcc_detail.py:84
low System graph software Dead code conf 1.00 Possibly dead Python function: handle_starttag
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/health_opendata_mcp/adapters/_pcc_detail.py:74
low System graph software Dead code conf 1.00 Possibly dead Python function: sync_main
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/health_opendata_mcp/cli.py:84
low System graph quality Provenance conf 1.00 Shallow git history limits provenance confidence
The repository is a shallow clone. Origin/evolution analysis cannot distinguish fresh generation, imported legacy code, or long-lived human code with high confidence.
Git historyGenerated repo pattern
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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