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rwetz/nexis-ml

https://github.com/rwetz/nexis-ml · scanned 2026-06-15 23:57 UTC (2 months, 3 weeks ago)

13 raw signals (0 security + 13 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 3 weeks ago · v1 · 9 actionable findings from 1 signal source. 4 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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66.7% cov · 9 findings

Severity distribution — click a segment to filter

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Severity: Critical 0 High 0 Medium 1 Low 6 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 9 Crowd 0 Layer: Software 2 Frontend 1 Cicd 1 Quality 5

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 94.7/100 with 66.7% coverage. It contains 234 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 13 findings — concentrated in quality (7), software (4), frontend (1). Risk profile is low: 0 critical, 0 high, 1 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 7 of 9 actionable findings. 13 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.

medium System graph cicd CI/CD security conf 1.00 GitHub Actions workflow grants broad write permissions

CI tokens with write permissions increase blast radius when an action, dependency, or PR workflow is compromised. Prefer job-level least-privilege permissions.

.github/workflows/publish.yml CI/CD securitySupply chainGithub actions

low System graph quality Debug conf 1.00 Debug logging residue appears in source files

Found 22 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 quality Integrity conf 1.00 3 occurrences Near-duplicate function bodies in 2 places

Functions with the same first-5-line body hash: src/nexis_ml/inference.py:predict, src/nexis_ml/inference.py:predict 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 they're separate.

3 occurrences

repo-level (3 hits)

duplicatesduplication

low System graph quality Integrity conf 1.00 Near-duplicate function bodies in 6 places

Functions with the same first-5-line body hash: src/nexis_ml/inference.py:forward, src/nexis_ml/inference.py:forward, src/nexis_ml/inference.py:forward, src/nexis_ml/templates/textgen/train.py:forward This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/…

duplicatesduplication

low System graph software Dead code conf 1.00 3 occurrences Possibly dead Python function: forward

No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.

3 files, 3 locations

src/nexis_ml/inference.py:140

src/nexis_ml/templates/image/train.py:114

src/nexis_ml/templates/textgen/train.py:169

low System graph software Dead code conf 1.00 Possibly dead Python function: watch

No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.

src/nexis_ml/harness.py:298

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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