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superradcompany/microsandbox

https://github.com/superradcompany/microsandbox.git · scanned 2026-05-16 02:06 UTC (2 weeks, 6 days ago) · 10 languages

150 findings (25 legacy + 125 scanner) 75th percentile · Rust · large (100-500K LoC) Scanner says 74 (higher by 3)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 21 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
75.5
/100
Repobility
77
21 legacy
9-layer
74
100.0% cov · 0 gaps
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 95.6 0.25 23.90
testing_score 78.0 0.20 15.60
documentation_score 89.0 0.15 13.35
practices_score 65.0 0.15 9.75
code_quality 46.9 0.10 4.69
Overall 1.00 76.3
Calibrated penalty buckets (security_score): agent: 3.2 · docker: 1.2
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 16 Medium 1 Low 4 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 21 9-layer 0 Crowd 0 Layer: Cicd 2 Quality 16 Software 3

Last 1 scan of this repo. Each new scan persists a full payload — historical comparison is exact, not lossy.

v1
May 16 02:06
v#IDStatusScoreGapsNodesCommitStarted
v scan_8f8394298303 ok 73.6 125 1155 442c319 May 16 02:06
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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