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mnemon-dev/mnemon

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

68 raw signals (16 security + 52 graph) 100th percentile · Go · small (2-20K LoC)

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Complete repo analysis

Last scanned 4 weeks, 1 day ago · v1 · 7 actionable findings from 1 signal source. 5 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
85.9
/100
Security checks
88
7 findings
System graph
84
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 85.0 0.15 12.75
security_score 93.3 0.25 23.32
testing_score 80.0 0.20 16.00
documentation_score 100.0 0.15 15.00
practices_score 75.0 0.15 11.25
code_quality 68.3 0.10 6.83
Overall 1.00 85.2
Calibrated penalty buckets (security_score): docker: 6.7
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 2 Medium 2 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 7 System graph 0 Crowd 0 Layer: Cicd 5 Quality 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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