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246 of your 581 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 32.38s for a 47.0 MB repo slow.
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Azure/azureml-assets

https://github.com/Azure/azureml-assets · scanned 2026-06-05 17:39 UTC (4 days, 22 hours ago) · 10 languages

1659 raw signals (555 security + 1104 graph) 11/13 scanners ran 78th percentile · Python · large (100-500K LoC) System graph score 59 (higher by 26)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 22 hours ago · v2 · 449 actionable findings from 2 signal sources. 658 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
66.9
/100
Security checks
75
101 findings
System graph
59
100.0% cov · 348 findings
Critical
1
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 100.0 0.20 20.00
documentation_score 100.0 0.15 15.00
practices_score 79.0 0.15 11.85
code_quality 68.0 0.10 6.80
Overall 1.00 84.6
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 1 High 35 Medium 152 Low 160 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 101 System graph 348 Crowd 0 Layer: Software 58 Quality 201 Cicd 17 Security 34 Network 1 Hardware 133 Frontend 1 Api 4

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Duplicates & near-duplicates 4 findings
What it is: Same function copy-pasted into multiple modules with minor variations.
Why it matters: Each copy drifts independently — bug fixes apply to one, miss the others.
How AI causes it: AI completes the same pattern in each file rather than refactoring to a shared helper.
Fix approach: Extract the duplicated logic into the most general module both call sites already import. Add tests at the helper level.
4 matching findings on this repo
  • low Near-duplicate function bodies in 6 places
  • low Near-duplicate function bodies in 3 places repo-level
  • low Near-duplicate function bodies in 4 places repo-level
  • low Near-duplicate function bodies in 2 places repo-level
View all duplicates & near-duplicates findings →
Commented-out code 40 findings
What it is: Lines of source that were intentionally disabled but never deleted.
Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.
How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.
Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.
12 matching findings on this repo
  • info Commented-code block (10 lines) in scripts/azureml-assets/azureml/assets/valida…
  • info Commented-code block (5 lines) in assets/evaluators/tests/test_evaluators_behav…
  • info Commented-code block (6 lines) in assets/evaluators/tests/test_evaluators_quali…
  • info Commented-code block (9 lines) in assets/evaluators/builtin/tool_input_accuracy…
  • info Commented-code block (9 lines) in assets/evaluators/builtin/tool_selection/eval…
  • info Commented-code block (8 lines) in assets/evaluators/builtin/tool_output_utiliza…
  • info Commented-code block (6 lines) in assets/model_monitoring/components/tests/unit…
  • info Commented-code block (7 lines) in assets/model_monitoring/components/tests/unit…
  • info Commented-code block (6 lines) in assets/model_monitoring/components/tests/unit…
  • info Commented-code block (13 lines) in assets/model_monitoring/components/tests/uni…
  • info Commented-code block (6 lines) in assets/model_monitoring/components/tests/e2e/…
  • info Commented-code block (6 lines) in assets/model_monitoring/components/src/action…
View all commented-out code findings →
Config drift 10 findings
What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.
Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.
How AI causes it: AI writes new config from memory rather than reading the existing source.
Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.
10 matching findings on this repo
  • low File has no detected symbols: assets/batch_score_oss/components/driver/src/batc…
  • low File has no detected symbols: assets/batch_score/components/driver/src/batch_sc…
  • medium Dockerfile runs as root: test/resources/config/env1-1.0.0/context/Dockerfile
  • medium Dockerfile runs as root: test/resources/config/env1-1.0.1/context/Dockerfile
  • medium Dockerfile runs as root: test/resources/config/env1-1/context/Dockerfile
  • medium Dockerfile runs as root: test/resources/config/env1-2/context/Dockerfile
  • medium Dockerfile runs as root: test/resources/config/env1-auto/context/Dockerfile
  • low Very large file: scripts/azureml-assets/azureml/assets/config.py (1527 lines)
  • low Old/deprecated-named symbol `env1_1_copy` in test/test_configs.py:20
  • info Commented-code block (6 lines) in assets/training/finetune_acft_hf_nlp/src/mode…
View all config drift findings →
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