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scripps-ai-enablement/sci-ai-enabler

https://github.com/scripps-ai-enablement/sci-ai-enabler · scanned 2026-06-16 00:07 UTC (2 months, 2 weeks ago)

18 raw signals (0 security + 18 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 12 actionable findings from 1 signal source. 6 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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88.9% cov · 12 findings

Severity distribution — click a segment to filter

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Severity: Critical 0 High 0 Medium 1 Low 9 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 12 Crowd 0 Layer: Software 3 Frontend 1 Cicd 2 Quality 6

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 82.1/100 with 88.9% coverage. It contains 700 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 18 findings — concentrated in cicd (8), quality (6), software (3). Risk profile is low: 0 critical, 0 high, 7 medium. Recommended next step: open the cicd layer findings first — that's where the highest-impact wins live.

Showing 10 of 12 actionable findings. 18 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 7 occurrences 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.

7 files, 7 locations

.github/workflows/coscientist.yml

.github/workflows/curate.yml

.github/workflows/guide.yml

.github/workflows/index.yml

.github/workflows/recipes.yml

.github/workflows/refresh-form-dropdowns.yml

.github/workflows/responder.yml

CI/CD securitySupply chainGithub actions

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

Found 58 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 cicd CI/CD security conf 1.00 GitHub Action is tag-pinned rather than SHA-pinned

actions/checkout@v4 can move without a code change in this repo. Pin third-party actions to a reviewed 40-character commit SHA.

.github/workflows/responder.yml:73 CI/CD securitySupply chainGithub actions

low System graph quality Tests conf 1.00 Low test-to-source ratio

1 tests / 5 src (ratio 0.20).

low System graph quality Integrity conf 1.00 Near-duplicate function bodies in 2 places

Functions with the same first-5-line body hash: scripts/ingest_kdense.py:footer, scripts/ingest_collection.py:footer 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.

duplicatesduplication

low System graph quality License conf 1.00 No license file detected

No LICENSE/COPYING/NOTICE file was found. Generated repositories often omit licensing, which blocks reuse and automated intake.

Repo hardeningGenerated repo pattern

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

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

scripts/build_index.py:227

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

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

scripts/build_index.py:261

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

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

scripts/build_index.py:203

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

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