hi-godot/godot-ai

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https://github.com/hi-godot/godot-ai · scanned 2026-05-16 13:30 UTC (1 day, 6 hours ago) · 10 languages

48 findings (1 legacy + 47 scanner) 99th percentile · Python · medium (20-100K LoC) Scanner says 91 (lower by 4)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 days, 5 hours ago · v1 · 48 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. #}

Score breakdown â 2026-05-17-v4 calibration-aware

Component	Sub-score	Weight	Contribution
`structure_score`	100.0	0.15	15.00
`security_score`	99.0	0.25	24.75
`testing_score`	100.0	0.20	20.00
`documentation_score`	73.0	0.15	10.95
`practices_score`	65.0	0.15	9.75
`code_quality`	69.0	0.10	6.90
Overall		1.00	87.3

Calibrated penalty buckets (security_score): agent: 1.1

Severity distribution — click a segment to filter

Active filters: layer: frontend × excluding tests × Reset all

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Scan summary Repository scanned at 90.8/100 with 88.9% coverage. It contains 1910 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 47 findings — concentrated in quality (25), cicd (12), software (8). Risk profile is low: 0 critical, 0 high, 5 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 1 of 48 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

info 9-layer frontend coverage conf 1.00 No frontend routes/components detected

No React/Vue/Next routes were found. This is fine for backend-only repos.

coverage

{# ── 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.

For AI agents + API integrations

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