Cee-oj/project

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.

Scan timing: clone 1.12s · analysis 0.09s · GitHub API rate-limit (preflight)

https://github.com/Cee-oj/project.git · scanned 2026-05-26 22:00 UTC (1 week, 2 days ago) · 10 languages

32 findings (14 legacy + 18 scanner) 8th percentile · Javascript · tiny (<2K LoC) Scanner says 75 (lower by 31)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 2 days ago · v2 · 23 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	50.0	0.15	7.50
`security_score`	94.3	0.25	23.57
`testing_score`	0.0	0.20	0.00
`documentation_score`	0.0	0.15	0.00
`practices_score`	32.0	0.15	4.80
`code_quality`	80.0	0.10	8.00
Overall		1.00	43.9

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 3 Medium 7 Low 7 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 14 9-layer 9 Crowd 0 Layer: Quality 10 Security 5 Software 2 Frontend 2 Cicd 1 Api 3

Exclude dismissed / FP Exclude test files

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Fragile runtime 4 findings

What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.

Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.

How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.

Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).

4 matching findings on this repo

medium Public web service has no security.txt .well-known/security.txt
info [MINED044] Js Console Log Prod: console.log left in code. Should be replaced wi… app.js:15
high [SEC135] Auth/permission check missing on AI-generated endpoint: Mutating HTTP … app.js:40
high Express POST /api/v1/products has no auth app.js:40

View all fragile runtime findings →

Config drift 1 finding

What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.

Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.

How AI causes it: AI writes new config from memory rather than reading the existing source.

Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.

1 matching finding on this repo

medium No CI/CD configuration found

View all config drift findings →

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/ad1aaf2d-279b-4d6b-a8f8-016646ff87b3/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/ad1aaf2d-279b-4d6b-a8f8-016646ff87b3/

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.