/validate_plan
Validate implementation against plan, verify success criteria, identify issues
How it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/validate_plan
Context preview
What this command does when you run it.
Validate implementation against plan, verify success criteria, identify issues
Command definition
validate_plan.mddescription: Validate implementation against plan, verify success criteria, identify issues
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: 1. **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
2. **Locate the plan**:
- If plan path provided, use it
- Otherwise, search recent commits for plan references or ask user
3. **Gather implementation evidence**:
# Check recent commits
git log --oneline -n 20
git diff HEAD~N..HEAD # Where N covers implementation commits
# Run comprehensive checks
cd $(git rev-parse --show-toplevel) && make check test
Validation Process
Step 1: Context Discovery
If starting fresh or need more context:
1. **Read the implementation plan** completely 2. **Identify what should have changed**:
- List all files that should be modified
- Note all success criteria (automated and manual)
- Identify key functionality to verify
3. **Spawn parallel research tasks** to discover implementation:
Task 1 - Verify database changes:
Research if migration [N] was added and schema changes match plan.
Check: migration files, schema version, table structure
Return: What was implemented vs what plan specified
Task 2 - 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 3 - 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:
1. **Check completion status**:
- Look for checkmarks in the plan (- [x])
- Verify the actual code matches claimed completion
2. **Run automated verification**:
- Execute each command from "Automated Verification"
- Document pass/fail status
- If failures, investigate root cause
3. **Assess manual criteria**:
- List what needs manual testing
- Provide clear steps for user verification
4. **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: `make build`
✓ Tests pass: `make test`
✗ Linting issues: `make lint` (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
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
1. **Be thorough but practical** - Focus on what matters 2. **Run all automated checks** - Don't skip verification commands 3. **Document everything** - Both successes and issues 4. **Think critically** - Question if the implementation truly solves the problem 5. **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: 1. `/implement_plan` - Execute the implementation 2. `/commit` - Create atomic commits for changes 3. `/validate_plan` - Verify implementation correctness 4. `/describe_pr` - Generate PR description
The validation works best after commits are made, as it can analyze the git history to understand what was implemented.
Remember: Good validation catches issues before they reach production. Be constructive but thorough in identifying gaps or improvements.
Read more
description: Validate implementation against plan, verify success criteria, identify issues
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: 1. **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
2. **Locate the plan**:
- If plan path provided, use it
- Otherwise, search recent commits for plan references or ask user
3. **Gather implementation evidence**:
# Check recent commits git log --oneline -n 20 git diff HEAD~N..HEAD # Where N covers implementation commits # Run comprehensive checks cd $(git rev-parse --show-toplevel) && make check test
Validation Process
Step 1: Context Discovery
If starting fresh or need more context:
1. **Read the implementation plan** completely 2. **Identify what should have changed**:
- List all files that should be modified
- Note all success criteria (automated and manual)
- Identify key functionality to verify
3. **Spawn parallel research tasks** to discover implementation:
Task 1 - Verify database changes: Research if migration [N] was added and schema changes match plan. Check: migration files, schema version, table structure Return: What was implemented vs what plan specified Task 2 - 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 3 - 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:
1. **Check completion status**:
- Look for checkmarks in the plan (- [x])
- Verify the actual code matches claimed completion
2. **Run automated verification**:
- Execute each command from "Automated Verification"
- Document pass/fail status
- If failures, investigate root cause
3. **Assess manual criteria**:
- List what needs manual testing
- Provide clear steps for user verification
4. **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: `make build` ✓ Tests pass: `make test` ✗ Linting issues: `make lint` (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
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
1. **Be thorough but practical** - Focus on what matters 2. **Run all automated checks** - Don't skip verification commands 3. **Document everything** - Both successes and issues 4. **Think critically** - Question if the implementation truly solves the problem 5. **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: 1. `/implement_plan` - Execute the implementation 2. `/commit` - Create atomic commits for changes 3. `/validate_plan` - Verify implementation correctness 4. `/describe_pr` - Generate PR description
The validation works best after commits are made, as it can analyze the git history to understand what was implemented.
Remember: Good validation catches issues before they reach production. Be constructive but thorough in identifying gaps or improvements.
The best way to get AI coding agents to solve hard problems in complex codebases.
Repo: humanlayer/humanlayer
Other commands on humanlayer.
- /ci_commit
Create git commits for session changes with clear, atomic messages
Open command - /ci_describe_pr
Generate comprehensive PR descriptions following repository templates
Open command - /commit
Create git commits with user approval and no Claude attribution
Open command - /create_handoff
Create handoff document for transferring work to another session
Open command - /create_plan
Create detailed implementation plans through interactive research and iteration
Open command - /create_plan_generic
Create detailed implementation plans with thorough research and iteration
Open command

