Public scan — anyone with this URL can view this analysis. Sign up to track your own repos privately, run scheduled re-scans, and get AI fix prompts via your dashboard.

seanzero7/VidTag

https://github.com/seanzero7/VidTag · scanned 2026-06-16 00:05 UTC (2 months, 3 weeks ago)

18 raw signals (0 security + 18 graph)

File as issue Image

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 3 weeks ago · v1 · 16 actionable findings from 1 signal source. 2 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON

66.7% cov · 16 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 0 Medium 4 Low 7 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 16 Crowd 0 Layer: Software 1 Hardware 2 Frontend 1 Security 2 Cicd 1 Quality 9

Exclude dismissed / FP Exclude test files

Corpus Intelligence Cross-corpus context (cohort percentile, top patterns, fix plan) is shown only on repositories you own. Sign up and connect your repo to view it.

Scan summary Repository scanned at 90.8/100 with 66.7% coverage. It contains 235 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 18 findings — concentrated in quality (9), software (3), hardware (2). Risk profile is low: 0 critical, 0 high, 4 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 11 of 16 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 hardware Security conf 1.00 Dockerfile runs as root: Dockerfile

No non-root USER set. Containers running as root expand the blast radius of any vulnerability inside the image.

Container

medium System graph security security conf 1.00 Insecure pattern 'weak_hash' in README.md:21

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

README.md:21 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

low System graph hardware Coverage conf 1.00 Containers defined but no K8s/orchestration manifest found

Repo has Dockerfiles/compose but no Kubernetes/Nomad manifests. If the target deployment is K8s, the manifests may live in a separate ops repo.

Deployment

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

Found 18 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 3 places

Functions with the same first-5-line body hash: src/vidtag/models/location_encoder.py:forward, src/vidtag/models/location_encoder.py:forward, src/vidtag/models/location_encoder.py:forward This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygie…

duplicatesduplication

low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `patch_v1` in scripts/extract_msls.py:58

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 quality Integrity conf 1.00 Old/deprecated-named symbol `s_old` in src/vidtag/models/location_encoder.py:7

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 3 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.

3 files, 3 locations

src/vidtag/models/georefiner.py:72

src/vidtag/models/location_encoder.py:111

src/vidtag/models/tempgeo.py:55

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

For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.

For AI agents + API integrations

Email me when this repo regresses

Free. We re-scan periodically; new criticals → your inbox. No signup required for the scan itself.

API access

This page is publicly accessible at: https://repobility.com/scan/b65dbfbf-3f6e-42a4-98fa-64a1d5d99745/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/b65dbfbf-3f6e-42a4-98fa-64a1d5d99745/

Important — please don't re-submit the same URL repeatedly. The submission endpoint is idempotent: re-submitting the same git URL returns this same scan_token, not a new one. To re-scan this repo, sign up free and use the dashboard.