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langchain-ai/open-swe

https://github.com/langchain-ai/open-swe · scanned 2026-05-15 18:26 UTC (4 weeks ago) · 10 languages

83 raw signals (24 security + 59 graph) 71st percentile · Python · medium (20-100K LoC) System graph score 56 (higher by 21)

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Complete repo analysis

Last scanned 4 weeks ago · v1 · 18 actionable findings from 1 signal source. 3 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
66.4
/100
Security checks
77
18 findings
System graph
56
88.9% cov · 0 findings
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-14-v3
Component Sub-score Weight Contribution
structure_score 75.0 0.15 11.25
security_score 78.3 0.25 19.57
testing_score 85.0 0.20 17.00
documentation_score 68.6 0.15 10.29
practices_score 75.0 0.15 11.25
code_quality 76.6 0.10 7.66
Overall 1.00 77.0
Severity distribution — click a segment to filter
Active filters: severity: critical × excluding tests × Reset all
Severity: Critical 0 High 6 Medium 3 Low 6 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 18 System graph 0 Crowd 0 Layer: Quality 5 Security 9 Cicd 4
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Scan summary Strongest security (92), dependencies (90); weakest documentation (64), code quality (64).

Showing 0 of 18 actionable findings. 21 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

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