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.

daehee01/mock-up

https://github.com/daehee01/mock-up · scanned 2026-06-17 01:52 UTC (1 month, 1 week ago)

24 raw signals (0 security + 24 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 1 week ago · v2 · last Δ +18.8 (diff) · 19 actionable findings from 1 signal source. 5 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
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 95.5/100 with 55.6% coverage. It contains 241 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 24 findings — concentrated in quality (16), security (7), frontend (1). Risk profile is low: 0 critical, 0 high, 10 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 16 of 19 actionable findings. 24 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, operator-readme. 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 'direct_innerhtml_assignment' in cart.html:111
Found a known-risky pattern (direct_innerhtml_assignment). Review and replace if possible.
cart.html:111 Direct innerhtml assignment
medium System graph security security conf 1.00 Insecure pattern 'direct_innerhtml_assignment' in cart.js:28
Found a known-risky pattern (direct_innerhtml_assignment). Review and replace if possible.
cart.js:28 Direct innerhtml assignment
medium System graph security security conf 1.00 Insecure pattern 'direct_innerhtml_assignment' in v2/build.py:1199
Found a known-risky pattern (direct_innerhtml_assignment). Review and replace if possible.
v2/build.py:1199 Direct innerhtml assignment
medium System graph security security conf 1.00 Insecure pattern 'direct_innerhtml_assignment' in v2/cart.html:103
Found a known-risky pattern (direct_innerhtml_assignment). Review and replace if possible.
v2/cart.html:103 Direct innerhtml assignment
medium System graph security security conf 1.00 Insecure pattern 'direct_innerhtml_assignment' in v2/cart.js:28
Found a known-risky pattern (direct_innerhtml_assignment). Review and replace if possible.
v2/cart.js:28 Direct innerhtml assignment
medium System graph security security conf 1.00 Insecure pattern 'direct_innerhtml_assignment' in v3/app.js:120
Found a known-risky pattern (direct_innerhtml_assignment). Review and replace if possible.
v3/app.js:120 Direct innerhtml assignment
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 quality Tests conf 1.00 Very low test-to-source ratio
0 test file(s) for 6 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 9 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 frontend Frontend quality conf 1.00 Icon-only button without accessible name — v3/app.js:126
A `<button>` whose only child is a single glyph or symbol needs `title=` or `aria-label=` so screen readers (and tooltips on hover) work. Why: P3 in CHECKLIST.md — icon-only buttons skipped a title. Rule id: fq.button.no-label
Fq button no label
low System graph quality Integrity conf 1.00 6 occurrences Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: build.py:load_categories, v2/build.py:load_categories 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.
6 occurrences
repo-level (6 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 Docs conf 1.00 README lacks setup or run instructions
A README exists, but it does not contain common install/setup/run markers. This matches a frequent generated-code pattern: UI is present, operational handoff is thin.
ReadmeRepo hardeningGenerated repo pattern
low System graph quality Complexity conf 1.00 Very large file: v2/build.py (1403 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
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/1b1452db-647f-469b-8b66-ebbc07a14eff/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/1b1452db-647f-469b-8b66-ebbc07a14eff/

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.