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# Verification Workflow
## Principle
Do not trust feedback. Verify it against the current codebase state.
## Verification by Feedback Type
| Feedback Type | Verification Method |
|---------------|---------------------|
| "Unused code" | `Grep` for usage across codebase |
| "Bug/Error" | Reproduce with test or script |
| "Missing import" | Check file, run linter |
| "Style/Convention" | Check existing patterns in codebase |
| "Performance issue" | Profile or benchmark if possible |
| "Security concern" | Trace data flow, check sanitization |
## Verification Steps
For EACH feedback item:
1. **Locate**: Find the referenced code (`Read` tool)
2. **Context**: Understand why it exists (`Grep` for usage, git blame)
3. **Validate**: Test the claim (run tests, reproduce issue)
4. **Document**: Note verification result before proceeding
## Using Code-Review Skills for Verification
When feedback relates to a specific domain, load the relevant skill:
| Domain | Skill to Reference |
|--------|-------------------|
| Python quality | python-code-review |
| FastAPI routes | fastapi-code-review |
| SQLAlchemy ORM | sqlalchemy-code-review |
| React components | shadcn-code-review |
| Routing | react-router-code-review |
| Database queries | postgres-code-review |
| Tests | pytest-code-review, vitest-testing |
These skills contain the authoritative patterns for this codebase.
If feedback conflicts with skill guidance, flag for discussion.
## Example
Feedback: "Remove unused `validate_user` function"
Verification:
1. `Grep` for "validate_user" across codebase
2. Found: Called in `auth/middleware.py:45`
3. Result: **Feedback incorrect** - function is used
4. Action: Push back with evidence
