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teaxus/gemini-video-tutor

https://github.com/teaxus/gemini-video-tutor · scanned 2026-06-16 00:30 UTC (2 months, 2 weeks ago)

17 raw signals (0 security + 17 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 17 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
80.1
/100
Security checks
80
0 findings
System graph
80
55.6% cov · 17 findings
Critical
0
click to filter
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 7 Low 8 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 17 Crowd 0 Layer: Software 3 Frontend 1 Security 1 Cicd 1 Quality 11
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Scan summary Repository scanned at 80.1/100 with 55.6% coverage. It contains 98 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 17 findings — concentrated in quality (11), software (3), frontend (1). 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 15 of 17 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 Agent instructions conf 1.00 Agent authority lacks a verifier contract: SKILL.md
This agent instruction grants code or shell authority but does not state the verification gate that decides promotion. The recurring safe pattern is: LLM proposes; deterministic tests/build/security checks verify; only verified code promotes.
SKILL.md VerificationSkill file
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 Integrity conf 1.00 Network/subprocess call without timeout or try/except — scripts/analyze.py:402
`subprocess.run(...)` here lacks both a `timeout=` arg and an enclosing try/except. This is exactly the class of bug that took down our git-clone earlier (HTTP/2 stream cancel surfaced as a fatal). Add a `timeout=` and wrap in try/except, or use a wrapper that retries.
runtime safetyRobustness
medium System graph quality Integrity conf 1.00 Network/subprocess call without timeout or try/except — scripts/setup.py:180
`subprocess.run(...)` here lacks both a `timeout=` arg and an enclosing try/except. This is exactly the class of bug that took down our git-clone earlier (HTTP/2 stream cancel surfaced as a fatal). Add a `timeout=` and wrap in try/except, or use a wrapper that retries.
runtime safetyRobustness
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 4 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 95 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: scripts/analyze.py:generate_endpoint, scripts/analyze.py:generate 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: extract_keyframes
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
scripts/analyze.py:410
low System graph software Dead code conf 1.00 Possibly dead Python function: process_one
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
scripts/analyze.py:955
low System graph software Dead code conf 1.00 Possibly dead Python function: run_chunk
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
scripts/analyze.py:702
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/analyze.py (1226 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
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