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umardrazbhatti/EHAN-THESIS-CODE-HiDF

https://github.com/umardrazbhatti/EHAN-THESIS-CODE-HiDF · scanned 2026-06-16 00:45 UTC (2 months, 1 week ago)

45 raw signals (0 security + 45 graph)

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Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 31 actionable findings from 1 signal source. 14 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 · 31 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 0 Medium 7 Low 12 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 31 Crowd 0 Layer: Software 5 Frontend 1 Security 2 Cicd 1 Quality 22

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 94.2/100 with 66.7% coverage. It contains 208 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 45 findings — concentrated in quality (28), software (13), security (2). Risk profile is low: 0 critical, 0 high, 7 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 19 of 31 actionable findings. 45 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 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 quality Placeholder conf 1.00 Critical user flow still appears backed by mock or placeholder data

A payment/auth/admin/order/billing-style flow contains mock, fake, TODO, dummy, or placeholder markers in runtime source. In the Fable corpus this is a high-leverage completeness smell: the app can look finished while the money, identity, or tenant flow is still scaffolded.

Mock dataCritical flowGenerated repo pattern

medium System graph security security conf 1.00 Insecure pattern 'weak_hash' in scripts/HiDF_package_analysis_bundle.py:186

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

scripts/HiDF_package_analysis_bundle.py:186 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 Placeholder conf 1.00 Placeholder or mock-heavy implementation detected

Found 125 placeholder/mock markers across 16 source files. This often means the repo looks complete while core flows still use generated scaffolding or fake data.

Mock dataIncompleteGenerated repo pattern

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

0 test file(s) for 38 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.

Coverage

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

Found 310 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 7 occurrences Near-duplicate function bodies in 2 places

Functions with the same first-5-line body hash: losses/HiDF_classification.py:forward, losses/HiDF_classification.py:forward 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.

7 occurrences

repo-level (7 hits)

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 quality Integrity conf 1.00 Old/deprecated-named symbol `_safe_copy` in scripts/HiDF_package_analysis_bundle.py:39

Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.

old markerDead code

low System graph software Dead code conf 1.00 9 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.

9 files, 9 locations

losses/HiDF_classification.py:61

losses/HiDF_explanation.py:135

losses/HiDF_temporal.py:31

models/HiDF_concept_bottleneck.py:142

models/HiDF_cross_attention.py:37

models/HiDF_eahn.py:350

models/HiDF_spatial_stream.py:67

models/HiDF_temporal_stream.py:79

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

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

xai/HiDF_sanity_checks.py:118

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

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

scripts/HiDF_evaluate.py:334

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

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

models/HiDF_concept_bottleneck.py:188

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

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

xai/HiDF_overlay.py:94

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: scripts/HiDF_evaluate.py (1500 lines)

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

low System graph quality Complexity conf 1.00 Very large file: scripts/HiDF_train_real.py (1734 lines)

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

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