Scan timing: clone 8.25s · analysis 33.02s · 34.1 MB · GitHub API rate-limit (preflight)
https://github.com/AgentsMesh/AgentsMesh
· scanned 2026-05-31 01:23 UTC (5 days, 14 hours ago)
· 10 languages
918 findings (230 legacy + 688 scanner) 11/13 scanners ran 71st percentile · Go · huge (>500K LoC) Scanner says 85 (higher by 4)
Last scanned 5 days, 14 hours ago · v2 · last Δ +2.3 (diff) · 633 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.
| Component | Sub-score | Weight | Contribution |
|---|---|---|---|
structure_score |
60.0 | 0.15 | 9.00 |
security_score |
100.0 | 0.25 | 25.00 |
testing_score |
95.0 | 0.20 | 19.00 |
documentation_score |
100.0 | 0.15 | 15.00 |
practices_score |
82.0 | 0.15 | 12.30 |
code_quality |
80.0 | 0.10 | 8.00 |
| Overall | 1.00 | 88.3 |
Top 10 actions, ranked by impact × ease. Severity drives impact; tag-based fix-clarity drives ease.
clients/web/e2e-playwright/helpers/env.ts:88clients/web/e2e-playwright/helpers/env.ts:93deploy/dev/docker-compose.ymlClick "Find this gap" on any action above to jump to it on the Findings tab. Adjust the chip bar to filter by impact (severity), layer, or source.
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