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guokaigdg/animal-island-ui

https://github.com/guokaigdg/animal-island-ui · scanned 2026-05-17 01:36 UTC (20 hours, 23 minutes ago) · 10 languages

61 findings (11 legacy + 50 scanner) 8/10 scanners ran 12th percentile · Typescript · small (2-20K LoC) Scanner says 92 (lower by 33)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 20 hours, 22 minutes ago · v2 · 36 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
{# ── 2026-05-17 R27 #5: score breakdown panel ────────────────────── Surfaces the score_breakdown JSON that's been silently stored on Repository for months. Turns hidden math into a trust signal. #}
Severity distribution — click a segment to filter
Active filters: severity: critical × excluding tests × Reset all
Severity: Critical 0 High 1 Medium 9 Low 25 Source: Legacy 11 9-layer 25 Crowd 0 Layer: Quality 12 Software 18 Api 1 Frontend 2 Security 2 Cicd 1
Scan summary Repository scanned at 91.8/100 with 77.8% coverage. It contains 171 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 25 findings — concentrated in software (18), frontend (2), security (2). Risk profile is low: 0 critical, 0 high, 5 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 0 of 36 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

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{# ── 2026-05-17 Round 14: AI-agent bridge footer ────────────────────── Discoverability: the /agents/voting/ guide + MCP manifest exist but aren't linked from anywhere users actually land. Small, opt-in footer. #}
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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