validate-checkpoint

name	validate-checkpoint
description	Checkpoint validation and guardrail enforcement for the VibeFlow docs-first development workflow
metadata	{"triggers":["validate checkpoint","check gate","am I ready","can I proceed","can I start implementing","can I deploy"]}

validate-checkpoint

Checkpoint validation and guardrail enforcement for the VibeFlow docs-first development workflow.

Purpose

This skill validates checkpoint completion before stage progression:

• Checks that required artifacts exist with all sections
• Enforces the docs-first mandate
• Runs validation scripts and reports pass/fail/warn status
• Returns structured JSON reports with blocking issues

Workflow

Validate Request
    │
    ├── Determine checkpoint or document type
    ├── Locate required artifacts
    └── Select validation script
    │
    ▼
Run Validation
    │
    ├── Execute validation checks
    ├── Collect errors and warnings
    └── Generate JSON report
    │
    ▼
Report Results
    │
    ├── Output pass/fail summary
    ├── List blocking issues
    └── Return exit code (0=pass, 1=fail, 2=warn)

Usage

Validate a Specific Checkpoint

/validate-checkpoint <number>

Example:

/validate-checkpoint 1

Validate Current State

/validate-checkpoint

This auto-detects the current stage and validates the appropriate checkpoint.

Validate Specific Document

/validate-checkpoint prd
/validate-checkpoint discovery <ID>
/validate-checkpoint spec <spec-name>
/validate-checkpoint feature <ID>
/validate-checkpoint opnote <ID>

Checkpoints

#	Checkpoint	After Stage	Validates
1	Planning Complete	D	PRD, Discovery, SPECs, ADRs
2	Design Complete	E	FEATURE spec with API Design
3	Tests Complete	F	Failing unit tests with stubs
4	Implementation Complete	H	Passing tests, quality validation
5	Release Ready	J	OP-NOTE with all sections
6	Deployed	L	Deployment verified, indices updated

Scripts

The following scripts are available in scripts/:

• validate_checkpoint.py - Master validator, orchestrates all checks
• check_planning.py - Checkpoint #1: Planning phase validation
• check_design.py - Checkpoint #2: Design phase validation
• check_tests.py - Checkpoint #3: Test phase validation
• check_implementation.py - Checkpoint #4: Implementation validation
• check_release.py - Checkpoint #5: Release readiness validation
• check_deployed.py - Checkpoint #6: Deployment verification

Output Format

All validation scripts output JSON with this structure:

{
  "checkpoint": 1,
  "name": "Planning Complete",
  "valid": false,
  "issues": [
    {
      "severity": "error",
      "file": "docs/prds/prd.md",
      "message": "Missing required section: Success Metrics"
    }
  ],
  "warnings": [
    {
      "file": "docs/specs/spec-api.md",
      "message": "Spec version not incremented despite contract changes"
    }
  ],
  "passed": 5,
  "failed": 2,
  "summary": "Checkpoint #1 NOT PASSED: 2 errors, 1 warning"
}

Exit Codes

• 0 - All validations passed
• 1 - Validation failed (blocking issues found)
• 2 - Warnings only (can proceed with caution)

Manifest Update

After a checkpoint passes, update docs/workflow-state.yaml:

• Set checkpoint to the number that passed (e.g., checkpoint: 2 after CP#2 passes)

Stage advancement is handled by: /manage-work advance <ID>

References

See references/checkpoint-criteria.md for detailed validation criteria for each checkpoint.