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allmonday/pydantic-resolve

https://github.com/allmonday/pydantic-resolve · scanned 2026-05-14 22:54 UTC (3 weeks ago) · 10 languages

95 findings (14 legacy + 81 scanner) 92nd percentile · Python · medium (20-100K LoC) Scanner says 78 (higher by 6)

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

Complete repo analysis

Last scanned 3 weeks ago · v1 · 14 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
81.2
/100
Repobility
84
14 legacy
9-layer
78
88.9% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 75.0 0.15 11.25
security_score 94.2 0.25 23.55
testing_score 100.0 0.20 20.00
documentation_score 86.0 0.15 12.90
practices_score 65.0 0.15 9.75
code_quality 67.5 0.10 6.75
Overall 1.00 84.2
Calibrated penalty buckets (security_score): web: 1.6 · agent: 2.2 · authz: 2.1
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 8 Medium 6 Low 0 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 14 9-layer 0 Crowd 0 Layer: Quality 12 Security 2

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 12 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 Public web service has no security.txt .well-known/security.txt
  • medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … pydantic_resolve/graphql/schema/generators/sdl_bu…:537
  • medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … pydantic_resolve/graphql/schema/type_collector.py:120
  • medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … pydantic_resolve/utils/class_util.py:187
  • medium Agent control bridge may listen on a network interface without visible auth demo/use_case/mcp_server.py:103
  • medium Agent control bridge may listen on a network interface without visible auth demo/use_case/app.py:1
  • medium Duplicated implementation block across source files tests/integration/tortoise/conftest.py:46
  • medium Duplicated implementation block across source files tests/integration/tortoise/conftest.py:39
  • medium Duplicated implementation block across source files tests/integration/sqlalchemy/conftest.py:57
  • medium Duplicated implementation block across source files pydantic_resolve/integration/tortoise/loader.py:28
  • medium Duplicated implementation block across source files pydantic_resolve/integration/tortoise/inspector.py:12
  • medium Duplicated implementation block across source files pydantic_resolve/integration/sqlalchemy/inspector…:20
View all fragile runtime findings →
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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