What problem does it solve? Static analyzers, linters, and type checkers miss runtime, framework, deployment, and business-intent defects in Python code. This Skill performs a structured review across categories like concurrency, resource lifetime, error handling, and schema resilience, explicitly separating what static analysis proved from what still needs runtime or human evidence. ## Core Features & Use Cases - Category-based review matrix: Covers static baseline, resource efficiency, operational resilience, synchronization, error handling, time/locale/encoding, state and determinism, contract and schema resilience, and traceability, with every category reporting pass, needs_confirmation, or not_applicable. - Static-analysis boundary table: Separates confirmed_by_static_analysis, not_detectable_by_static_analysis, and requires_runtime_or_human_evidence so reviewers know exactly what remains unverified. - Gate verdict and handoffs: Emits a blocked, needs-review, or proceed verdict with evidence, and routes security, trace-continuity, and design-assumption findings to the appropriate specialist Skills. - Use Case: Before merging a Python service change, run this Skill on the target package to get an evidence-backed findings list with severity and remediation, plus a pre-CI gate verdict. ## Quick Start Ask the AI to run the python_review Skill on a target path such as a package or service directory and return the findings matrix and gate verdict.
