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agenticmail/agenticmail

https://github.com/agenticmail/agenticmail · scanned 2026-05-15 01:20 UTC (4 weeks, 1 day ago) · 10 languages

225 raw signals (31 security + 194 graph) 71st percentile · Typescript · medium (20-100K LoC) System graph score 56 (higher by 22)

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Complete repo analysis

Last scanned 4 weeks, 1 day ago · v1 · 11 actionable findings from 1 signal source. 9 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
64.4
/100
Security checks
73
11 findings
System graph
56
100.0% cov · 0 findings
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 80.7 0.25 20.18
testing_score 90.0 0.20 18.00
documentation_score 85.0 0.15 12.75
practices_score 85.0 0.15 12.75
code_quality 53.0 0.10 5.30
Overall 1.00 78.0
Calibrated penalty buckets (security_score): agent: 10.1 · threat: 9.2
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 6 Medium 2 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 11 System graph 0 Crowd 0 Layer: Quality 5 Software 2 Cicd 2 Security 2

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

No integrity bug-classes triggered on this scan. The 6 classes we check for — fragile runtime, duplicates, orphan pages, legacy markers, commented-out code, config drift — have zero matches. Solid foundation.
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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