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VincentLiang1/NotebookLM_OCR

https://github.com/VincentLiang1/NotebookLM_OCR · scanned 2026-06-16 00:50 UTC (2 months, 1 week ago)

25 raw signals (0 security + 25 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 24 actionable findings from 1 signal source. 1 repeated signal grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
83.7
/100
Security checks
84
0 findings
System graph
84
66.7% cov · 24 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 0 Medium 6 Low 11 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 24 Crowd 0 Layer: Software 5 Frontend 1 Security 1 Cicd 1 Quality 16
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Scan summary Repository scanned at 83.7/100 with 66.7% coverage. It contains 185 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 25 findings — concentrated in quality (17), software (5), frontend (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 17 of 24 actionable findings. 25 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 Agent instructions conf 1.00 Agent instructions exist but release-hardening basics are missing
AI-coder instruction files were found, but the repo is missing license, ci, tests. Treat this as a contract gap: the agent is guided, but the generated output is not yet guarded by the controls that make it repeatable.
Repo hardeningGenerated repo pattern
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 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 13 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 13 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 2 occurrences Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: pdf2ppt/blocks.py:find, pdf2ppt/blocks.py:find 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.
2 occurrences
repo-level (2 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 `plain_old` in pdf2ppt/ocr.py:658
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 Possibly dead Python function: fileno
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
pdf2ppt_gui_2.py:125
low System graph software Dead code conf 1.00 Possibly dead Python function: flush
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
pdf2ppt_gui_2.py:109
low System graph software Dead code conf 1.00 Possibly dead Python function: isatty
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
pdf2ppt_gui_2.py:119
low System graph software Dead code conf 1.00 Possibly dead Python function: writable
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
pdf2ppt_gui_2.py:122
low System graph software Dead code conf 1.00 Possibly dead Python function: write
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
pdf2ppt_gui_2.py:104
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: pdf2ppt/style.py (1515 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
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