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rickaidar/DASHBOARD-TECNIBRAS

https://github.com/rickaidar/DASHBOARD-TECNIBRAS · scanned 2026-06-15 23:51 UTC (2 months, 3 weeks ago)

15 raw signals (0 security + 15 graph)

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Complete repo analysis

Last scanned 2 months, 3 weeks ago · v1 · 15 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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66.7% cov · 15 findings

Severity distribution — click a segment to filter

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Severity: Critical 0 High 0 Medium 6 Low 7 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 15 Crowd 0 Layer: Software 1 Frontend 1 Security 3 Cicd 1 Quality 9

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 97.2/100 with 66.7% coverage. It contains 194 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 15 findings — concentrated in quality (9), security (3), software (1). Risk profile is low: 0 critical, 0 high, 6 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 13 of 15 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph quality Production readiness conf 1.00 Composite production-readiness gap

Multiple low-cost hardening controls are missing together: license, ci, tests. Opus verification showed these co-occurring gaps are a better readiness signal than reading each flag in isolation.

Repo hardeningGenerated repo pattern

medium System graph security security conf 1.00 Insecure pattern 'direct_innerhtml_assignment' in dashboard/app.js:135

Found a known-risky pattern (direct_innerhtml_assignment). Review and replace if possible.

dashboard/app.js:135 Direct innerhtml assignment

medium System graph security security conf 1.00 Insecure pattern 'weak_hash' in README.md:46

Found a known-risky pattern (weak_hash). Review and replace if possible.

README.md:46 Weak hash

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

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

0 test file(s) for 15 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.

Coverage

low System graph quality Integrity conf 1.00 10 env vars used in code but missing from .env.example

Drift between code and config docs. The first few: `COMPRAS_DIR`, `COMPRAS_FILE`, `COMPROMETIDO_FILE`, `DRIVE_COMPRAS_FOLDER_ID`, `DRIVE_FINANCEIRA_FOLDER_ID`, `DRIVE_MEDICOES_FOLDER_ID`, `DRIVE_ROOT_FOLDER_ID`, `EXCLUSOES_FILE` + 2 more. Add them (with a placeholder/comment) to .env.example so onb…

config drift

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

Found 65 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 Near-duplicate function bodies in 2 places

Functions with the same first-5-line body hash: etl/medicao.py:parse_medicao_itens, etl/medicao.py:parse_medicao 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: parse_mapa

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

etl/compras.py:191

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

low System graph quality Complexity conf 1.00 Very large file: dashboard/app.js (1363 lines)

Files with >800 lines often hide complexity hotspots and discourage tests.

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