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37 of your 89 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

elizaOS/eliza

https://github.com/elizaOS/eliza · scanned 2026-06-05 23:17 UTC (4 days, 5 hours ago) · 10 languages

80 findings 11/13 scanners ran 60th percentile · Typescript · large (100-500K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

25 actionable findings from 1 signal source. 55 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

Combined
79.3
/100
Security checks
79
25 findings
System graph
—
—% cov · 0 findings
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 100.0 0.25 25.00
testing_score 82.0 0.20 16.40
documentation_score 67.0 0.15 10.05
practices_score 69.0 0.15 10.35
code_quality 70.0 0.10 7.00
Overall 1.00 77.8
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 2 Medium 5 Low 6 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 25 System graph 0 Crowd 0 Layer: Quality 17 Security 4 Software 3 Cicd 1

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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