arsambhatti548-arch/ai-project

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Scan timing: clone 1.57s · analysis 0.2s · 0.1 MB · GitHub preflight 537ms

https://github.com/arsambhatti548-arch/ai-project.git · scanned 2026-05-25 17:11 UTC (1 week, 3 days ago) · 10 languages

21 findings (5 legacy + 16 scanner) 27th percentile · Javascript · tiny (<2K LoC) Scanner says 90 (lower by 43)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 3 days ago · v2 · 13 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`	55.0	0.15	8.25
`security_score`	100.0	0.25	25.00
`testing_score`	0.0	0.20	0.00
`documentation_score`	0.0	0.15	0.00
`practices_score`	40.0	0.15	6.00
`code_quality`	70.0	0.10	7.00
Overall		1.00	46.2

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 0 Medium 4 Low 5 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 5 9-layer 8 Crowd 0 Layer: Quality 6 Software 3 Api 1 Frontend 1 Security 1 Cicd 1

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 89.5/100 with 66.7% coverage. It contains 34 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 8 findings — concentrated in software (3), api (1), frontend (1). Risk profile is low: 0 critical, 0 high, 3 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 9 of 13 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium Legacy quality documentation No README file found

Create a README.md with: project name and description, installation instructions, usage examples, configuration options, and contribution guidelines.

documentationlegacy

medium 9-layer security coverage conf 1.00 No auth library detected

The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). Either auth lives in custom code, in a separate service, or is missing.

coverageauth

medium 9-layer cicd coverage 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.

coverage

medium 9-layer quality tests conf 1.00 Very low test-to-source ratio

0 test file(s) for 7 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.

testscoverage

low Legacy quality documentation No LICENSE file

Add a LICENSE file to your repository. Use choosealicense.com to pick the right license (MIT for permissive, Apache 2.0 for patent protection, GPL for copyleft).

documentationlegacy

low 9-layer software dead-code-candidate conf 1.00 File has no detected symbols: ai-tools-website/eslint.config.js

Source file with no class/function declarations — possible config, dead code, or scratch file.

dead-code-candidate

low 9-layer software dead-code-candidate conf 1.00 File has no detected symbols: ai-tools-website/src/main.jsx

Source file with no class/function declarations — possible config, dead code, or scratch file.

dead-code-candidate

low 9-layer software dead-code-candidate conf 1.00 File has no detected symbols: ai-tools-website/vite.config.js

Source file with no class/function declarations — possible config, dead code, or scratch file.

dead-code-candidate

low 9-layer frontend frontend-quality conf 1.00 Icon-only button without accessible name — ai-tools-website/src/components/ToolbarPanel.jsx:274

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

frontend-qualityfq.button.no-label

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