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influxdata/telegraf

https://github.com/influxdata/telegraf · scanned 2026-05-15 01:22 UTC (3 weeks ago) · 10 languages

132 findings (76 legacy + 56 scanner) 0th percentile · Go · huge (>500K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 3 weeks ago · v1 · 72 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
75.1
/100
Repobility
76
72 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 85.0 0.15 12.75
security_score 67.4 0.25 16.85
testing_score 80.0 0.20 16.00
documentation_score 85.0 0.15 12.75
practices_score 80.0 0.15 12.00
code_quality 47.8 0.10 4.78
Overall 1.00 75.1
Calibrated penalty buckets (security_score): agent: 2.2 · authz: 5.5 · docker: 46.1
Severity distribution — click a segment to filter
Active filters: severity: critical × excluding tests × Reset all
Severity: Critical 0 High 43 Medium 14 Low 7 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 72 9-layer 0 Crowd 0 Layer: Security 6 Cicd 35 Quality 31
Scan summary Repository scanned at 74.3/100 with 100.0% coverage. It contains 4497 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 0 findings. Risk profile is low: 0 critical, 0 high, 0 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

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