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67 of your 121 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.
Upstream (GitHub) caused delay on this scan — not Repobility.
  • GitHub API rate-limited (HTTP 403) — preflight skipped, fell back to direct git clone.
  • Clone from GitHub took 101.87s for a 208.3 MB repo slow.
  • Repobility's analysis ran in 17.74s after the clone landed.

EsotericSoftware/spine-runtimes

https://github.com/EsotericSoftware/spine-runtimes · scanned 2026-06-05 15:03 UTC (5 days, 4 hours ago) · 10 languages

418 raw signals (110 security + 308 graph) 11/13 scanners ran 48th percentile · C · large (100-500K LoC) System graph score 84 (lower by 18)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 4 hours ago · v2 · 110 actionable findings from 2 signal sources. 154 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
76.0
/100
Security checks
68
30 findings
System graph
84
88.9% cov · 80 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 40.0 0.15 6.00
security_score 100.0 0.25 25.00
testing_score 20.0 0.20 4.00
documentation_score 88.0 0.15 13.20
practices_score 67.0 0.15 10.05
code_quality 70.0 0.10 7.00
Overall 1.00 65.2
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: search: "commented-code" × excluding tests × Reset all
Severity: Critical 0 High 7 Medium 13 Low 58 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 30 System graph 80 Crowd 0 Layer: Cicd 7 Security 2 Quality 43 Software 21 Api 1 Frontend 33 Hardware 3
Scan summary Quality grade B- (65/100). Dimensions: security 100, maintainability 40. 110 findings (37 security). 356,562 lines analyzed.

Showing 0 of 110 actionable findings. 264 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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