Integrity-Check 150 Protocol

Core Principle: Check yourself before delivery. Verify goal alignment, completeness, correctness. Identify what could still go wrong. Score the quality honestly.

What This Skill Does

When you invoke this skill, you're asking AI to:

• Verify alignment — Does result match original goal?
• Check completeness — Are all requirements satisfied?
• Validate correctness — Is it technically accurate?
• Assess risks — What residual issues remain?
• Score quality — Honest 0-100 rating with reasoning

The 150% Check Rule

Quality Assessment Framework

CORE INTEGRITY (100% Required)
├── Goal Alignment: Meets original objectives
├── Completeness: All requirements satisfied
├── Correctness: Technically accurate and valid
└── Consistency: Internal logic coherent

EXTENDED VALIDATION (50% Enhancement)
├── Context Fit: Works in broader environment
├── Side Effects: No unintended consequences
├── Edge Cases: Handles unusual scenarios
└── Future-Proofing: Adaptable to changes

Quality Score Framework

When to Use This Skill

• Before delivery — Any significant work output
• After implementation — Code, features, documents
• Before handoff — To another person or system
• When uncertain — Need confidence check
• After major changes — Verify nothing broke

Execution Protocol

Step 1: GOAL ALIGNMENT

🎯 **GOAL VERIFICATION**

**Original Objective:** [What was requested]
**Delivered Result:** [What was produced]
**Alignment:** ✅ Match | ⚠️ Partial | ❌ Mismatch

**Gaps:** [Any differences from original goal]

Step 2: COMPLETENESS ASSESSMENT

📋 **COMPLETENESS CHECK**

Requirements:
- [ ] Requirement 1: [Status]
- [ ] Requirement 2: [Status]
- [ ] Requirement 3: [Status]

**Coverage:** [X]% of requirements met
**Missing:** [What's not done]

Step 3: CORRECTNESS VALIDATION

✓ **CORRECTNESS CHECK**

**Technical Accuracy:** [Assessment]
**Logic Coherence:** [Assessment]
**Best Practices:** [Assessment]
**Issues Found:** [List any problems]

Step 4: CONTEXT INTEGRATION

🔗 **CONTEXT FIT**

**Environment:** Works in target environment?
**Integration:** Properly connected to dependencies?
**Side Effects:** Any unintended consequences?
**Performance:** Meets performance requirements?

Step 5: RISK EVALUATION

⚠️ **RISK ASSESSMENT**

**Known Issues:**
- [Issue 1]: [Severity] - [Mitigation]
- [Issue 2]: [Severity] - [Mitigation]

**Edge Cases:** [Unusual scenarios covered?]
**Security:** [Any vulnerabilities?]
**Scalability:** [Can handle expected load?]

Step 6: SELF-CRITIQUE

🔮 **SELF-CRITIQUE**

**What could be better?**
- [Improvement 1]
- [Improvement 2]

**Alternative approaches considered?**
- [Alternative and why not chosen]

**Lessons for future:**
- [Learning 1]

Step 7: FINAL SCORE

Calculate and declare:

📊 **QUALITY SCORE:** [X]/100 ([Rating])

**Reasoning:** [Why this score]

Output Format

🔍 **INTEGRITY-CHECK 150 COMPLETE**

**Quality Score:** [X]/100 ([Rating])

**✅ STRENGTHS:**
- [Key positive finding 1]
- [Key positive finding 2]
- [Quality achievement]

**⚠️ AREAS FOR ATTENTION:**
- [Minor issue 1]
- [Recommendation 1]
- [Residual risk 1]

**🚫 CRITICAL ISSUES:** [None / List blockers]

**📋 DELIVERY STATUS:** 
[✅ Ready | ⚠️ Conditional | ❌ Not Ready]

**🎯 CONFIDENCE LEVEL:** [High/Medium/Low]
**Reasoning:** [Why this confidence]

**RECOMMENDATIONS:**
- [What to do next]
- [What to monitor]

Integrity Checklist

🎯 CORE QUALITY

• Goal Achievement: Original objectives fully met?
• Requirement Coverage: All specified requirements?
• Technical Accuracy: Solution correct?
• Consistency: Internal logic coherent?

🔍 CONTEXT

• Environment Fit: Works in target environment?
• Integration: Properly connected?
• Side Effects: None unintended?
• Performance: Meets requirements?

⚠️ RISKS

• Known Issues: Documented and acceptable?
• Edge Cases: Unusual scenarios handled?
• Security: No vulnerabilities?
• Scalability: Handles expected load?

🔮 FUTURE

• Maintainability: Easy to maintain?
• Documentation: Well-documented?
• Knowledge Transfer: Others can understand?

Operational Rules

1. MANDATORY CHECK: Every significant work needs integrity check
2. OBJECTIVE CRITIQUE: Self-assess without bias
3. COMPLETE COVERAGE: Check all quality dimensions
4. RISK TRANSPARENCY: Document residual risks honestly
5. IMPROVEMENT FOCUS: Identify what could be better
6. HONEST SCORING: Don't inflate quality score

Failure Modes & Recovery

Examples

❌ Without Integrity-Check

AI: "Done! Feature implemented."
[Deploys to production]
Result: Critical security vulnerability discovered by users

✅ With Integrity-Check 150

🔍 INTEGRITY-CHECK 150 COMPLETE

Quality Score: 88/100 (Good)

✅ STRENGTHS:
- User registration fully functional
- Mobile/desktop compatibility verified
- All 5 requirements implemented
- Unit tests passing (94% coverage)

⚠️ AREAS FOR ATTENTION:
- Loading states could be smoother
- Error messages need localization
- Consider rate limiting for production

🚫 CRITICAL ISSUES: None

📋 DELIVERY STATUS: ✅ Ready

🎯 CONFIDENCE: High
Reasoning: All core requirements met, tested on multiple 
devices, no blocking issues found.

RECOMMENDATIONS:
- Add loading animation polish in next sprint
- Set up error message translation pipeline
- Implement rate limiting before high traffic events

Relationship to Other Skills

• gated-exec-150 → Executes the plan
• integrity-check-150 → Validates the result
• session-save-150 → Documents for continuity

Remember: Integrity-check isn't criticism — it's quality assurance. An honest 85 score with documented issues is more valuable than a false 100. The check protects you and the user from preventable problems.