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17 of your 31 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 183.31s for a 152.6 MB repo slow.
  • Repobility's analysis ran in 0.41s after the clone landed.

victordomingos/optimize-images

https://github.com/victordomingos/optimize-images · scanned 2026-06-05 22:59 UTC (1 week ago) · 10 languages

55 raw signals (29 security + 26 graph) 11/13 scanners ran 58th percentile · Python · small (2-20K LoC) System graph score 97 (lower by 25)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week ago · v2 · 31 actionable findings from 2 signal sources. 11 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
90.0
/100
Security checks
83
20 findings
System graph
97
66.7% cov · 11 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 75.0 0.15 11.25
security_score 100.0 0.25 25.00
testing_score 46.0 0.20 9.20
documentation_score 90.0 0.15 13.50
practices_score 42.0 0.15 6.30
code_quality 73.0 0.10 7.30
Overall 1.00 72.5
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: search: "config-drift" × excluding tests × Reset all
Severity: Critical 0 High 3 Medium 3 Low 12 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 20 System graph 11 Crowd 0 Layer: Quality 20 Security 4 Software 4 Api 1 Frontend 1 Cicd 1
Scan summary Quality grade B (72/100). Dimensions: security 100, maintainability 75. 29 findings (2 security). 2,741 lines analyzed.

Showing 0 of 31 actionable findings. 42 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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