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ADG-AUDISIS/OCR-IA

https://github.com/ADG-AUDISIS/OCR-IA.git · scanned 2026-05-27 21:20 UTC (1 week, 1 day ago) · 10 languages

48 findings (28 legacy + 20 scanner) 61st percentile · Python · tiny (<2K LoC) Scanner says 90 (lower by 22)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 1 day ago · v2 · 38 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
77.9
/100
Repobility
66
28 legacy
9-layer
90
77.8% cov · 10 gaps
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 30.0 0.15 4.50
security_score 100.0 0.25 25.00
testing_score 70.0 0.20 14.00
documentation_score 60.0 0.15 9.00
practices_score 70.0 0.15 10.50
code_quality 48.0 0.10 4.80
Overall 1.00 67.8
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 26 Medium 6 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 28 9-layer 10 Crowd 0 Layer: Quality 31 Software 3 Api 1 Frontend 1 Security 1 Cicd 1

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.

Fragile runtime 28 findings
What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.
Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.
How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.
Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).
12 matching findings on this repo
  • medium Bare except continues silently OCR-IA.py:297
  • medium Average file size is 736 lines (recommend <300)
  • high `self.show_error` used but never assigned in __init__ OCR-IA.py:298
  • high `self.log` used but never assigned in __init__ OCR-IA.py:294
  • high `self.update_status` used but never assigned in __init__ OCR-IA.py:274
  • high `self.log` used but never assigned in __init__ OCR-IA.py:273
  • high `self.show_error` used but never assigned in __init__ OCR-IA.py:261
  • high `self.show_error` used but never assigned in __init__ OCR-IA.py:253
  • high `self.show_error` used but never assigned in __init__ OCR-IA.py:317
  • high `self._stop_kobold` used but never assigned in __init__ OCR-IA.py:316
  • high `self._kill_previous_kobold` used but never assigned in __init__ OCR-IA.py:264
  • high `self.log` used but never assigned in __init__ OCR-IA.py:222
View all fragile runtime findings →
Commented-out code 1 finding
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/`.
1 matching finding on this repo
  • info Commented-code block (11 lines) in OCR-IA.py:21
View all commented-out code findings →
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