.claude/skills/verification-lattice/SKILL.md
Multi-layer verification pipeline beyond Code Review
npx skillsauth add gonzalezpazmonica/pm-workspace verification-latticeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
A layered verification system where each layer builds on previous results, culminating in informed human review.
Before running verification, answer sequentially:
Purpose: Automated checks producing consistent, repeatable results.
Checks:
Agent: None (scripts only)
Gate: All checks must pass. No exceptions.
Output: Pass/Fail + error log
Purpose: AI-powered analysis of intent and correctness.
Checks:
Agent: code-reviewer
Gate: All criteria mapped to code changes.
Output: Mapping report + acceptance criteria checklist
Purpose: Identify vulnerabilities and compliance risks.
Checks:
Agent: security-reviewer
Gate: No high or critical severity findings.
Output: Security scan report + remediation plan
Purpose: Cross-cutting concerns beyond code functionality.
Checks:
Agent: architect
Gate: No regressions, architecture decisions justified.
Output: Architecture review + risk assessment
Purpose: Design decisions, business alignment, maintainability.
Input: Consolidated report from layers 1-4.
Focus:
Gate: Human approval required.
Output: Reviewer sign-off + design notes
/verify-full {task-id} — Run all 5 layers sequentially/verify-layer {N} {task-id} — Run specific layer for debuggingAll verification results stored in output/verification/{task-id}/:
layer1-deterministic.jsonlayer2-semantic.jsonlayer3-security.jsonlayer4-agentic.jsonlayer5-human-checklist.mdtesting
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
tools
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
tools
Sistema proactivo de bienestar individual
development
Search the web to resolve context gaps — documentation, versions, CVEs, best practices. Auto-starts SearxNG Docker if available, falls back to WebSearch.