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BaseAI

https://github.com/CommandCodeAI/BaseAI.git · scanned 2026-05-17 01:20 UTC (18 hours, 3 minutes ago) · 10 languages

466 findings (34 legacy + 432 scanner) 16th percentile · Typescript · medium (20-100K LoC) Scanner says 77 (lower by 17)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 18 hours, 3 minutes ago · v3 · 176 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
Combined
75.2
/100
Repobility
73
34 legacy
9-layer
77
88.9% cov · 142 gaps
Critical
0
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Agents
6
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: source: crowd × excluding tests × Reset all
Severity: Critical 0 High 19 Medium 9 Low 125 Source: Legacy 34 9-layer 142 Crowd 0 Layer: Quality 52 Software 53 Frontend 48 Security 2 Cicd 2 Api 19
Scan summary Repository scanned at 77.1/100 with 88.9% coverage. It contains 1612 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 142 findings — concentrated in software (50), frontend (48), quality (21). Risk profile is high: 0 critical, 16 high, 8 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

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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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