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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 30.21s for a 37.8 MB repo slow.
  • Repobility's analysis ran in 3.62s after the clone landed.

alumnium-hq/alumnium

https://github.com/alumnium-hq/alumnium · scanned 2026-05-31 01:23 UTC (1 week, 6 days ago) · 10 languages

425 raw signals (123 security + 302 graph) 11/13 scanners ran 90th percentile · Typescript · medium (20-100K LoC) System graph score 71 (higher by 14)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 6 days ago · v2 · last Δ +0.1 (diff) · 153 actionable findings from 2 signal sources. 122 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
76.7
/100
Security checks
82
44 findings
System graph
71
100.0% cov · 109 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 100.0 0.20 20.00
documentation_score 83.0 0.15 12.45
practices_score 77.0 0.15 11.55
code_quality 78.0 0.10 7.80
Overall 1.00 85.8
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 10 Medium 11 Low 70 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 44 System graph 109 Crowd 0 Layer: Quality 41 Security 4 Cicd 11 Software 63 Api 1 Frontend 29 Hardware 4
Scan summary Quality grade A- (86/100). Dimensions: security 100, maintainability 60. 123 findings (34 security). 34,671 lines analyzed.

Showing 0 of 153 actionable findings. 275 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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