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GenericAgent

https://github.com/lsdefine/GenericAgent.git · scanned 2026-05-17 02:55 UTC (14 hours, 30 minutes ago) · 10 languages

232 findings (24 legacy + 208 scanner) 55th percentile · Python · medium (20-100K LoC) Scanner says 82 (lower by 28)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 14 hours, 29 minutes ago · v2 · 129 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
75.1
/100
Repobility
68
24 legacy
9-layer
82
100.0% cov · 105 gaps
Critical
0
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Agents
6
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: severity: critical × excluding tests × Reset all
Severity: Critical 0 High 27 Medium 17 Low 80 Source: Legacy 24 9-layer 105 Crowd 0 Layer: Quality 54 Security 18 Software 33 Frontend 3 Data 1 Cicd 1 Api 19
Scan summary Repository scanned at 82.3/100 with 100.0% coverage. It contains 1452 nodes across 18 cross-layer flows, written primarily in mixed languages. Engine surfaced 105 findings — concentrated in quality (42), software (28), api (19). Risk profile is high: 0 critical, 13 high, 9 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 0 of 129 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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