62-validate-integrity-150
[62] VALIDATE. Final self-check before delivery. Verify goal alignment, completeness, correctness, and identify residual risks. Produces quality score (0-100) and delivery status. Use when completing any significant work, before handoff, or when you need confidence that work is ready.
Best use case
62-validate-integrity-150 is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
[62] VALIDATE. Final self-check before delivery. Verify goal alignment, completeness, correctness, and identify residual risks. Produces quality score (0-100) and delivery status. Use when completing any significant work, before handoff, or when you need confidence that work is ready.
Teams using 62-validate-integrity-150 should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/62-validate-integrity-150/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How 62-validate-integrity-150 Compares
| Feature / Agent | 62-validate-integrity-150 | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
[62] VALIDATE. Final self-check before delivery. Verify goal alignment, completeness, correctness, and identify residual risks. Produces quality score (0-100) and delivery status. Use when completing any significant work, before handoff, or when you need confidence that work is ready.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Validate-Integrity 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 | Dimension | 100% Core | +50% Enhancement | |-----------|-----------|------------------| | **Goal** | Meets objectives | + Exceeds expectations | | **Complete** | Requirements done | + Edge cases covered | | **Correct** | Technically valid | + Best practices followed | | **Risks** | Known issues noted | + Mitigation strategies ready | ## 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 | Score | Rating | Description | Action | |-------|--------|-------------|--------| | **95-100** | Excellent | Exceeds expectations | Deliver with confidence | | **85-94** | Good | Meets all requirements | Deliver, note improvements | | **75-84** | Acceptable | Minor issues exist | Deliver with caveats | | **60-74** | Needs Work | Significant issues | Fix before delivery | | **<60** | Unacceptable | Major problems | Return to development | ## 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 | Failure | Detection | Recovery | |---------|-----------|----------| | **Overconfidence** | Score too high | Get external review | | **Incomplete Check** | Missed aspects | Use full checklist | | **Bias Blindness** | Ignoring own errors | Delayed assessment | | **Risk Denial** | Ignoring issues | Explicit risk documentation | ## 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 - **74-mid-session-save-150** → Documents continuity via checkpoints ## Session Log Entry (MANDATORY) After completing this skill, write to `.sessions/SESSION_[date]-[name].md`: ``` ### [HH:MM] Validate-Integrity 150 Complete **Target:** <what was validated> **Score:** <X/100> **Issues:** <found issues/none> **Recommendation:** <Deliver/Fix> ``` --- **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.
Related Skills
61-validate-lint-150
[61] VALIDATE. Comprehensive code quality check combining ESLint, TypeScript compilation, and unused code detection. Runs full lint suite with detailed error reporting and fix suggestions. Use before commits, after major changes, or when ensuring code quality standards.
60-validate-tests-150
[60] VALIDATE. Ensure new (staged and unstaged) changes are covered by tests at >70% and the full test suite is green. Use when asked to validate coverage for recent changes, add tests for modified code, or verify nothing else broke.
thor-skills
An entry point and router for AI agents to manage various THOR-related cybersecurity tasks, including running scans, analyzing logs, troubleshooting, and maintenance.
ux
This AI agent skill provides comprehensive guidance for creating professional and insightful User Experience (UX) designs, covering user research, information architecture, interaction design, visual guidance, and usability evaluation. It aims to produce actionable, user-centered solutions that avoid generic AI aesthetics.
lets-go-rss
A lightweight, full-platform RSS subscription manager that aggregates content from YouTube, Vimeo, Behance, Twitter/X, and Chinese platforms like Bilibili, Weibo, and Douyin, featuring deduplication and AI smart classification.
vly-money
Generate crypto payment links for supported tokens and networks, manage access to X402 payment-protected content, and provide direct access to the vly.money wallet interface.
tech-blog
Generates comprehensive technical blog posts, offering detailed explanations of system internals, architecture, and implementation, either through source code analysis or document-driven research.
whisper-transcribe
Transcribes audio and video files to text using OpenAI's Whisper CLI, enhanced with contextual grounding from local markdown files for improved accuracy.
grail-miner
This skill assists in setting up, managing, and optimizing Grail miners on Bittensor Subnet 81, handling tasks like environment configuration, R2 storage, model checkpoint management, and performance tuning.
chrome-debug
This skill empowers AI agents to debug web applications and inspect browser behavior using the Chrome DevTools Protocol (CDP), offering both collaborative (headful) and automated (headless) modes.
modal-deployment
Run Python code in the cloud with serverless containers, GPUs, and autoscaling using Modal. This skill enables agents to generate code for deploying ML models, running batch jobs, serving APIs, and scaling compute-intensive workloads.
ontopo
An AI agent skill to search for Israeli restaurants, check table availability, view menus, and retrieve booking links via the Ontopo platform, acting as an unofficial interface to its data.