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34 of your 83 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 90.23s for a 106.7 MB repo slow.
  • Repobility's analysis ran in 8.74s after the clone landed.

ionic-team/ionic-framework

https://github.com/ionic-team/ionic-framework · scanned 2026-06-05 11:31 UTC (1 week, 1 day ago) · 10 languages

690 raw signals (74 security + 616 graph) 11/13 scanners ran 88th percentile · Typescript · large (100-500K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 1 day ago · v2 · 298 actionable findings from 2 signal sources. 84 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
83.1
/100
Security checks
82
24 findings
System graph
84
88.9% cov · 274 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 95.0 0.20 19.00
documentation_score 78.0 0.15 11.70
practices_score 83.0 0.15 12.45
code_quality 80.0 0.10 8.00
Overall 1.00 85.2
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: search: "legacy-markers" × excluding tests × Reset all
Severity: Critical 0 High 4 Medium 23 Low 120 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 24 System graph 274 Crowd 0 Layer: Cicd 5 Security 4 Quality 52 Software 56 Api 1 Frontend 177 Hardware 3
Scan summary Quality grade A- (85/100). Dimensions: security 100, maintainability 60. 74 findings (15 security). 163,759 lines analyzed.

Showing 0 of 298 actionable findings. 382 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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