pma2rino8/bubblesautodetail

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Scan timing: clone 1.65s · analysis 0.45s · 0.4 MB · GitHub preflight 465ms

https://github.com/pma2rino8/bubblesautodetail.git · scanned 2026-05-29 07:46 UTC (1 week ago) · 10 languages

30 findings (16 legacy + 14 scanner) 30th percentile · Typescript · small (2-20K LoC) Scanner says 95 (lower by 36)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week 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.

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Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	100.0	0.15	15.00
`security_score`	95.9	0.25	23.98
`testing_score`	0.0	0.20	0.00
`documentation_score`	38.7	0.15	5.81
`practices_score`	42.0	0.15	6.30
`code_quality`	80.0	0.10	8.00
Overall		1.00	59.1

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 0 Medium 6 Low 10 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 16 9-layer 7 Crowd 0 Layer: Quality 15 Security 3 Software 2 Api 1 Frontend 1 Cicd 1

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 11 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).

11 matching findings on this repo

medium Public web service has no security.txt .well-known/security.txt
medium Public web app has no Content Security Policy index.html
low Public web app has no humans.txt humans.txt
low Public docs site has no llms.txt llms.txt
low Public web app has no sitemap sitemap.xml
low Public web app has no robots.txt robots.txt
info [MINED045] Ts Non Null Assertion: x! asserts not null - bypasses null checks - … components/ui/MagneticButton.tsx:27
info [MINED056] React Key As Index: key={index} in map() — re-renders the wrong elem… components/sections/Marquee.tsx:15
info [MINED056] React Key As Index: key={index} in map() — re-renders the wrong elem… components/sections/IntroStatement.tsx:19
info [MINED056] React Key As Index: key={index} in map() — re-renders the wrong elem… app/studio/page.tsx:67
high [SEC128] Async function without await — fire-and-forget Promise (AI mistake): A… components/ui/SmoothScrollProvider.tsx:28

View all fragile runtime findings →

Config drift 2 findings

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.

2 matching findings on this repo

medium No CI/CD configuration found
low File has no detected symbols: next.config.ts

View all config drift findings →

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