Phase Enforcement logo

Phase Enforcement

Organization
MadAppGang
phase-enforcement

Evidence-based phase completion enforcement for /dev:feature. Use when orchestrating 8-phase feature development to ensure artifacts exist before phase completion, validation criteria are addressed, outer loops are enforced, and show-your-work requirements are met.

Overview

PublisherMadAppGang
Repositoryclaude-code
Skill namephase-enforcement
Stars
281
Forks
26
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MadAppGang on GitHub. Read the source before you install it.

Installation

Install the Phase Enforcement AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MadAppGang/claude-code.git /tmp/claude-code
mkdir -p .claude/skills
cp -r /tmp/claude-code/plugins/dev/skills/enforcement .claude/skills/phase-enforcement
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Phase Enforcement in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Phase Enforcement on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Phase Enforcement is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Phase Completion Enforcement

Version: 1.0.0 Purpose: Mechanical enforcement of phase completion requirements for /dev:feature Status: Production Ready

Overview

This skill provides mechanical enforcement (not just prompt-based instructions) for the 8-phase feature development workflow. It prevents:

  1. Claiming completion without proof - Artifacts must exist
  2. Skipping documentation - Required files per phase
  3. Ignoring validation criteria - Phase 1 criteria must map to Phase 7 results
  4. Bypassing retry logic - Outer loop enforced with state tracking
  5. Shipping without tests - Phase 6 requires test files
  6. Faking completion when blocked - Graceful degradation with honest status
  7. Hiding actual results - Show-your-work requirement
  8. Missing automated checks - Checkpoint verification at boundaries

Enforcement Components

1. Phase Completion Validator

Script: scripts/phase-completion-validator.js

How it works:

  • Runs as PreToolUse hook on TaskUpdate
  • Detects phase from task subject (e.g., "Phase 3: Planning")
  • Checks required artifacts exist for that phase
  • Blocks completion if artifacts missing or empty

Required Artifacts per Phase:

PhaseRequired ArtifactsCustom Checks
1requirements.md, validation-criteria.md, iteration-config.jsonConfig has required fields
3architecture.mdPlan reviews exist
4implementation-log.mdGit changes detected
5reviews/code-review/consolidated.mdHas PASS/FAIL verdict
6tests/test-plan.mdTest files created
7validation/result.mdHas PASS/FAIL status + evidence
8report.mdPhase 7 PASSED

Usage in orchestrator:

markdown
Before marking any phase complete:

1. Run checkpoint verification:
   ```bash
   ${PLUGIN_PATH}/scripts/checkpoint-verifier.sh phase{N} ${SESSION_PATH}
  1. If check passes, mark task complete:

    TaskUpdate(taskId: X, status: "completed")
  2. If check fails, DO NOT mark complete. Fix missing artifacts first.


---

### 2. Outer Loop Enforcer

**Script:** `scripts/outer-loop-enforcer.js`

**How it works:**
- Tracks iteration state in session-meta.json
- Blocks Phase 8 unless Phase 7 PASSED
- Detects regression (score getting worse)
- Handles escalation when max iterations reached

**Commands:**

```bash
# Start new iteration (call before Phase 3)
node outer-loop-enforcer.js start-iteration ${SESSION_PATH}

# Record Phase 7 result
node outer-loop-enforcer.js record-result ${SESSION_PATH} PASS "All checks passed" 95

# Check if Phase 8 can proceed
node outer-loop-enforcer.js check-can-complete ${SESSION_PATH}

# Get current status
node outer-loop-enforcer.js get-status ${SESSION_PATH}

Session state tracking:

json
{
  "outerLoop": {
    "currentIteration": 2,
    "maxIterations": 3,
    "mode": "limited",
    "phase7Results": [
      {"iteration": 1, "status": "FAIL", "reason": "Button color mismatch", "score": 78},
      {"iteration": 2, "status": "PASS", "reason": "All checks passed", "score": 94}
    ]
  }
}

Usage in orchestrator:

markdown
OUTER LOOP: Before starting Phase 3

1. Start iteration:
   ```bash
   node ${PLUGIN_PATH}/scripts/outer-loop-enforcer.js start-iteration ${SESSION_PATH}
  1. Check exit code:
    • 0: Proceed with iteration
    • 2: Max iterations reached, escalate to user

OUTER LOOP: After Phase 7 completes

  1. Record result:

    bash
    node ${PLUGIN_PATH}/scripts/outer-loop-enforcer.js record-result ${SESSION_PATH} <PASS|FAIL> "reason" [score]
  2. If PASS: Proceed to Phase 8

  3. If FAIL: Loop back to Phase 3 (start-iteration will be called again)

OUTER LOOP: Before Phase 8

  1. Verify Phase 7 passed:

    bash
    node ${PLUGIN_PATH}/scripts/outer-loop-enforcer.js check-can-complete ${SESSION_PATH}
  2. If exit code 1: BLOCKED - cannot proceed to Phase 8


---

### 3. Validation Criteria Enforcer

**Script:** `scripts/validation-criteria-enforcer.js`

**How it works:**
- Parses validation-criteria.md from Phase 1
- Parses validation/result.md from Phase 7
- Matches criteria to results using fuzzy matching
- Blocks if >20% criteria unaddressed

**Usage in orchestrator:**

```markdown
PHASE 7: After creating result.md

1. Run criteria enforcer:
   ```bash
   node ${PLUGIN_PATH}/scripts/validation-criteria-enforcer.js ${SESSION_PATH}
  1. Review generated report: ${SESSION_PATH}/validation/criteria-mapping.md

  2. If unaddressed criteria found:

    • Update result.md to address them
    • Or document why they couldn't be tested

**Output format:**

```markdown
# Validation Criteria Mapping Report

## Summary
- Total Criteria: 5
- Matched: 4
- Unmatched: 1
- Coverage: 80%

## Criteria Mapping
| Line | Criterion | Result | Evidence |
|------|-----------|--------|----------|
| 12 | "Navigate to test URL" | PASS | screenshot-before.png |
| 13 | "Fill email field" | PASS | action-log.md line 5 |
| 14 | "Click login button" | PASS | action-log.md line 8 |
| 15 | "Redirect to dashboard" | PASS | screenshot-after.png |

## ⚠️ Unaddressed Criteria
- Line 16: "Show error for invalid password"

4. Checkpoint Verifier

Script: scripts/checkpoint-verifier.sh

How it works:

  • Bash script for fast automated checks
  • Runs at phase boundaries
  • Verifies files exist and have content
  • Checks git state for implementation phase

Usage:

bash
# Before completing Phase 4
./checkpoint-verifier.sh phase4 ${SESSION_PATH}

# Before completing Phase 7
./checkpoint-verifier.sh phase7 ${SESSION_PATH}

Example output:

📋 Checkpoint Verification: phase4
─────────────────────────────────────
Session: ai-docs/sessions/dev-feature-login-20260204-143022

✅ Implementation Log: implementation-log.md (1234 bytes)
✅ Code Changes: 8 files with changes
✅ Implementation Log: Has structured progress

─────────────────────────────────────
✅ Checkpoint passed

Integration with /dev:feature

Phase Transition Protocol

MANDATORY: Before marking ANY phase as completed:

markdown
<phase_completion_protocol>
  **Step 1: Run Checkpoint Verification**

  ```bash
  ${PLUGIN_PATH}/scripts/checkpoint-verifier.sh phase{N} ${SESSION_PATH}

If exit code != 0: STOP. Fix missing artifacts first.

Step 2: Show Evidence Summary

Display 3-5 lines of actual results:

## Phase {N} Evidence
- Artifact: ${SESSION_PATH}/{artifact}.md (exists, 1234 bytes)
- Key result: {actual output from phase}
- Evidence: {file paths to screenshots, logs, etc.}

Step 3: Map to Original Criteria (for Phase 7)

From validation-criteria.md:
- [x] Criterion 1 → Verified (evidence file)
- [x] Criterion 2 → Verified (screenshot)
- [ ] Criterion 3 → Skipped (reason documented)

Step 4: Mark Task Complete

Only if Steps 1-3 pass:

TaskUpdate(taskId: X, status: "completed")

</phase_completion_protocol>


### Show-Your-Work Requirement

**Anti-pattern (BLOCKED):**

```markdown
I'll run the tests now.
[Task tool call to run tests]
Tests passed! Moving to next phase.

Required pattern:

markdown
Running tests:

$ bun test
✓ auth.test.ts (5 tests)
  ✓ should authenticate valid user (12ms)
  ✓ should reject invalid password (8ms)
  ✓ should expire session after timeout (15ms)
  ✓ should refresh token correctly (10ms)
  ✓ should logout user (5ms)

✗ payment.test.ts (3 tests)
  ✓ should process valid payment (20ms)
  ✓ should reject invalid card (12ms)
  ✗ should handle timeout (FAILED)
    Error: Expected timeout after 30s, got success

Results: 7 passed, 1 failed

The payment timeout test failure needs investigation before Phase 6 can complete.

Graceful Degradation

Three Completion Statuses

COMPLETE: All validation criteria passed

  • All artifacts created
  • All tests pass
  • Full validation executed

PARTIAL: Some validation done, gaps documented

  • Core functionality verified
  • Some criteria couldn't be tested (documented why)
  • Known limitations listed

INCOMPLETE: Blocked, needs user action

  • Critical blocker encountered
  • Cannot proceed without external input
  • Clear description of what's needed

Session Status in session-meta.json

json
{
  "status": "partial",
  "completedCriteria": ["builds", "type-checks", "login-flow"],
  "skippedCriteria": [
    {"criterion": "full-auth-flow", "reason": "requires running server"},
    {"criterion": "token-storage", "reason": "depends on auth flow"}
  ],
  "blockers": []
}

Final Report for PARTIAL Status

markdown
## Feature Status: PARTIAL

### Completed ✓
- SDK implementation
- Type safety
- Build verification

### Not Verified ⚠️
- End-to-end authentication (requires running server)
- Token storage persistence (depends on auth)

### Recommended Before Production
1. Run integration tests with real server
2. Verify token encryption roundtrip


5. Failure Report Generator

Script: scripts/failure-report-generator.js

How it works:

  • Auto-generated when phase completion is blocked
  • Documents what was expected vs what happened
  • Lists all attempted approaches and their errors
  • Provides manual testing steps as fallback
  • Includes workarounds and suggestions

When generated:

  • Phase completion validator blocks a phase
  • Validation criteria enforcer finds gaps
  • Outer loop reaches max iterations
  • Any enforcement script fails

Report structure:

markdown
# {Phase Name} - Failure Report

**Generated:** 2026-02-04T10:30:00Z
**Session:** ai-docs/sessions/dev-feature-login-20260204
**Phase:** phase7

## Expected Artifacts
-`validation/result.md`
-`validation/screenshot-before.png`
-`validation/screenshot-after.png`

## Attempted Approaches

### Attempt 1: browser_test
**What was tried:** Chrome MCP navigation to localhost:3000
**Error:** Tool mcp__chrome-devtools__navigate_page not available
**Timestamp:** 2026-02-04T10:25:00Z

## Failure Analysis

### Common Failure Reasons
- **chrome_mcp_unavailable**: Chrome MCP tools not available or not responding
- **server_not_starting**: Dev server fails to start
- **page_not_loading**: Test URL not accessible

## Suggestions for Resolution
1. Verify Chrome MCP is properly configured in .claude/settings.json
2. Check if dev server is running: curl http://localhost:3000
3. Try using different browser automation: mcp__claude-in-chrome instead
4. Consider unit tests + manual verification as fallback

## Manual Testing Steps
1. Start dev server: npm run dev (or bun run dev)
2. Open browser to test URL (e.g., http://localhost:3000)
3. Take screenshot of initial state
4. Perform test actions (fill forms, click buttons)
5. Take screenshot of result state
6. Verify expected behavior occurred
7. Document results in validation/result.md

## Workarounds

### If Browser Automation Unavailable
1. Run validation manually in browser
2. Take screenshots with system screenshot tool
3. Save screenshots to `validation/` directory
4. Create `validation/result.md` with manual observations

### Minimal result.md Template
[template provided]

## Next Steps
1. **Fix and Retry**: Address the issues above and re-run the phase
2. **Manual Completion**: Follow manual steps and create artifacts manually
3. **Skip with Justification**: Create `phase7-skip-reason.md` explaining why
4. **Escalate to User**: Ask user for guidance via AskUserQuestion

Usage in orchestrator:

When phase completion is blocked:

markdown
1. Failure report auto-generated at:
   ${SESSION_PATH}/failures/phase{N}-failure-report.md

2. Read report and either:
   a. Fix issues and retry
   b. Follow manual testing steps
   c. Create skip-reason.md with justification
   d. Escalate to user with AskUserQuestion

3. If manually completing:
   - Create required artifacts following templates in report
   - Re-run phase completion validator

Summary Table

EnforcementWhat It Prevents
Phase completion validatorClaiming "done" without proof
Mandatory artifactsSkipping documentation
Validation criteria enforcerCollecting criteria but ignoring them
Outer loop enforcerSkipping retry logic
Phase 6 test checkShipping without tests
Graceful degradationFaking completion when blocked
Show-your-workHiding actual results
Checkpoint verificationAutomated sanity checks
Failure report generatorSilent failures without guidance

Implementation Priority

  1. HIGH: Evidence-based completion + Show-your-work (fixes core trust problem)
  2. HIGH: Validation criteria enforcement (ensures Phase 1 work is used)
  3. MEDIUM: Phase 6 test enforcement (ensures quality)
  4. MEDIUM: Graceful degradation (enables honest status)
  5. LOW: Checkpoint verification (nice automation, but manual review works)

Scripts Location: ${PLUGIN_ROOT}/plugins/dev/scripts/ Hooks Config: ${PLUGIN_ROOT}/plugins/dev/hooks/feature-enforcement.json

Frequently asked questions

What does the Phase Enforcement AI skill do?

Evidence-based phase completion enforcement for /dev:feature. Use when orchestrating 8-phase feature development to ensure artifacts exist before phase completion, validation criteria are addressed, outer loops are enforced, and show-your-work requirements are met.

Why use Phase Enforcement on TypingMind?

Because you install it once and use it with any model. Phase Enforcement is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Phase Enforcement in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MadAppGang/claude-code/tree/main/plugins/dev/skills/enforcement. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Phase Enforcement?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Phase Enforcement?

As many as you like. As long as a model supports skills, you can use Phase Enforcement with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Phase Enforcement AI skill free?

Yes. It is published on GitHub by MadAppGang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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