google-research

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

57 findings 8/10 scanners ran 54th percentile · Python · medium (20-100K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

51 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

{# ── 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`	40.0	0.15	6.00
`security_score`	55.5	0.25	13.88
`testing_score`	13.0	0.20	2.60
`documentation_score`	65.0	0.15	9.75
`practices_score`	30.0	0.15	4.50
`code_quality`	80.0	0.10	8.00
Overall		1.00	44.7

Calibrated penalty buckets (security_score): threat: 44.6

security_score may be inflated — optional scanners skipped due to repo size/fast scan

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Top 0 actions, ranked by impact × ease. Severity drives impact; tag-based fix-clarity drives ease.

No actionable gaps — clean repo.

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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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