Validate plan
Flow: a cross-tool agentic-coding workflow plugin (research, plan, implement, validate) with a tracker abstraction
npx -y skills add corticalstack/flow --skill validate-planAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Validate an implementation against its plan, run verification commands, and report issues before commit. Explicit workflow command; run only when invoked via /validate-plan or explicitly asked.
SKILL.md
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Validate Plan
You are tasked with validating that an implementation plan was correctly executed, verifying all success criteria and identifying any deviations or issues.
Initial Setup
When invoked:
-
Determine context - Are you in an existing conversation or starting fresh?
- If existing: Review what was implemented in this session
- If fresh: Need to discover what was done through git and codebase analysis
-
Locate the plan:
- If plan path provided, use it
- Otherwise, search recent commits for plan references or ask user
-
Gather implementation evidence:
# Check recent commits git log --oneline -n 20 git diff HEAD~N..HEAD # Where N covers implementation commits # Run project-specific verification commands # The plan's "Automated Verification" section specifies what to run # Common examples: # - Python: uv run pytest tests/ -v # - Node: npm test # - Make: make check test # - Rust: cargo test # - Go: go test ./...
Validation Process
Step 1: Context Discovery
If starting fresh or need more context:
-
Read the implementation plan completely
-
Identify what should have changed:
- List all files that should be modified
- Note all success criteria (automated and manual)
- Identify key functionality to verify
-
Spawn parallel research tasks to discover implementation:
Task 1 - Verify code changes: Find all modified files related to [feature]. Compare actual changes to plan specifications. Return: File-by-file comparison of planned vs actual Task 2 - Verify test coverage: Check if tests were added/modified as specified. Run test commands and capture results. Return: Test status and any missing coverage
Step 2: Systematic Validation
For each phase in the plan:
-
Check completion status:
- Look for checkmarks in the plan (- [x])
- Verify the actual code matches claimed completion
-
Run automated verification:
- Execute each command from the plan's "Automated Verification" section
- Document pass/fail status with the actual command that was run
- If failures, investigate root cause
-
Assess manual criteria:
- List what needs manual testing
- Provide clear steps for user verification
-
Think deeply about edge cases:
- Were error conditions handled?
- Are there missing validations?
- Could the implementation break existing functionality?
Step 3: Generate Validation Report
Create comprehensive validation summary:
## Validation Report: [Plan Name]
### Implementation Status
✓ Phase 1: [Name] - Fully implemented
✓ Phase 2: [Name] - Fully implemented
⚠️ Phase 3: [Name] - Partially implemented (see issues)
### Automated Verification Results
✓ Build passes: `[command from plan's automated verification]`
✓ Tests pass: `[command from plan's automated verification]`
✗ Linting issues: `[command from plan's automated verification]` (3 warnings)
### Code Review Findings
#### Matches Plan:
- Database migration correctly adds [table]
- API endpoints implement specified methods
- Error handling follows plan
#### Deviations from Plan:
- Used different variable names in [file:line]
- Added extra validation in [file:line] (improvement)
#### Potential Issues:
- Missing index on foreign key could impact performance
- No rollback handling in migration
### Manual Testing Required:
1. UI functionality:
- [ ] Verify [feature] appears correctly
- [ ] Test error states with invalid input
2. Integration:
- [ ] Confirm works with existing [component]
- [ ] Check performance with large datasets
### Recommendations:
- Address linting warnings before merge
- Consider adding integration test for [scenario]
- Document new API endpoints
Step 4: Update Work-Item State
Based on validation results:
If validation fails (automated checks fail, critical issues found):
tracker set-state <id> validation-failed in-progress
If validation passes (all automated checks pass, ready for PR):
- Keep
in-progressstate (it will be transitioned topr-submittedafter PR creation) - Validation passing doesn't mean implementation is done - it means it's ready for code review via PR
Working with Existing Context
If you were part of the implementation:
- Review the conversation history
- Check your todo list for what was completed
- Focus validation on work done in this session
- Be honest about any shortcuts or incomplete items
Important Guidelines
- Be thorough but practical - Focus on what matters
- Run all automated checks - Don't skip verification commands
- Document everything - Both successes and issues
- Think critically - Question if the implementation truly solves the problem
- Consider maintenance - Will this be maintainable long-term?
Validation Checklist
Always verify:
- All phases marked complete are actually done
- Automated tests pass
- Code follows existing patterns
- No regressions introduced
- Error handling is robust
- Documentation updated if needed
- Manual test steps are clear
Relationship to Other Commands
Recommended workflow:
/implement-plan- Execute the implementation/validate-plan- Verify implementation correctness (quality gate)- Fix any issues found during validation
/commit- Create atomic commits for changes (only after validation passes)/describe-pr- Generate PR description
Validation works best on uncommitted changes, acting as a quality gate before creating commits. This ensures a cleaner git history without "fix validation issues" commits. Use git diff to analyze what was implemented.
Remember: Good validation catches issues before they reach production. Be constructive but thorough in identifying gaps or improvements.