toylala03-star/learnhskforme12.github.io

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 1.67s · analysis 0.25s · 0.2 MB · GitHub preflight 561ms

toylala03-star/learnhskforme12.github.io

https://github.com/toylala03-star/learnhskforme12.github.io.git · scanned 2026-05-29 07:57 UTC (1 week ago) · 10 languages

39 findings (23 legacy + 16 scanner) 18th percentile · Typescript · small (2-20K LoC) Scanner says 94 (lower by 38)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week ago · v2 · 31 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`	100.0	0.15	15.00
`security_score`	94.1	0.25	23.52
`testing_score`	0.0	0.20	0.00
`documentation_score`	38.7	0.15	5.81
`practices_score`	30.0	0.15	4.50
`code_quality`	70.0	0.10	7.00
Overall		1.00	55.8

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 5 Medium 7 Low 11 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 23 9-layer 8 Crowd 0 Layer: Quality 20 Security 5 Software 3 Frontend 2 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 15 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).

12 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 - … src/components/StrokePractice.tsx:49
info [MINED052] Ts Any Typed: : any used as type annotation. Defeats TypeScript type… server.ts:47
info [MINED047] Emoji In Source: Emoji ✅ ❌ 🚀 in code/comments — common AI output unl… src/components/StrokePractice.tsx:134
info [MINED047] Emoji In Source: Emoji ✅ ❌ 🚀 in code/comments — common AI output unl… server.ts:61
info [MINED044] Js Console Log Prod: console.log left in code. Should be replaced wi… server.ts:112
high [SEC135] Auth/permission check missing on AI-generated endpoint: Mutating HTTP … server.ts:53

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: vite.config.ts

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/8bd8b392-5a86-49d2-bbae-ce13836146fb/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/8bd8b392-5a86-49d2-bbae-ce13836146fb/

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.