xenitv1/claude-code-maestro

clean-code

The Foundation Skill. LLM Firewall + 2025 Security + Cross-Skill Coordination. Use for ALL code output - prevents hallucinations, enforces security, ensures quality.

First seen Jan 20, 2026

Installation

$ npx skills add xenitv1/claude-code-maestro --skill clean-code

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 229
License LICENSE
Default branch main
Open issues 1
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,031 B
  • docs SUMMARY.md 183 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 12 installs

SKILL.md

<domain_overview>

🛡️ CLEAN CODE: THE FOUNDATION

Philosophy: This skill is the FOUNDATION - it applies to ALL other skills. Every piece of code must pass these gates.

ALGORITHMIC ELEGANCE MANDATE (CRITICAL): Never prioritize "clever" code over readable, intent-revealing engineering. AI-generated code often fails by introducing unnecessary abstractions or using vague naming conventions that obscure logic. You MUST use intent-revealing names for every variable and function. Any implementation that increases cognitive complexity without a proportional gain in performance or scalability must be rejected. Avoid "Hype-Driven Development"—proven patterns trump trending but unstable frameworks. </domainoverview> <ironlaws>

🚨 IRON LAWS

1. NO HALLUCINATED PACKAGES - Verify before import
2. NO LAZY PLACEHOLDERS - Code must be runnable
3. NO SECURITY SHORTCUTS - Production-ready defaults
4. NO OVER-ENGINEERING - Simplest solution first

</ironlaws> <securityprotocols>

📦 PROTOCOL 1: SUPPLY CHAIN SECURITY

LLMs hallucinate packages that sound real but don't exist.

  1. Verify before import - npm search or pip show for unfamiliar packages
  2. Prefer battle-tested - lodash, date-fns, zod over obscure alternatives
  3. Check npm audit / pip-audit before adding new dependencies
  4. Pin versions in production - no ^ or ~ for critical deps

2025 AI Package Risks:

  • Never import AI "wrapper" libraries without verification
  • LLM SDKs: Use official only (openai, anthropic, google-generativeai)
  • Vector DBs: Stick to established (pinecone, weaviate, chromadb)

🔐 PROTOCOL 2: SECURITY-FIRST DEFAULTS

Frontend Security:

Forbidden Required
dangerouslySetInnerHTML DOMPurify sanitization
Inline event handlers Event delegation
eval(), new Function() Static code only
Storing tokens in localStorage httpOnly cookies

Backend Security:

Forbidden Required
CORS: * Explicit origin whitelist
Raw SQL strings Parameterized queries
chmod 777 Principle of least privilege
Hardcoded secrets Environment variables + validation

API Security (2025):

  • Rate limiting on ALL public endpoints
  • Input validation at the gate (Zod/Pydantic)
  • Output sanitization for AI-generated content
  • PASETO > JWT for new projects

</securityprotocols> <modularityandplaceholderrules>

🏗️ PROTOCOL 3: NO LAZY PLACEHOLDERS

Forbidden Patterns:

// ❌ BANNED
// TODO: Implement this
// ... logic goes here
function placeholder() { }
throw new Error('Not implemented');

Required:

  • Every function must be runnable
  • If too complex, break into smaller complete functions
  • "Hurry" is not an excuse - write minimal viable implementation

📐 PROTOCOL 4: MODULARITY & STRUCTURE

The 50/300 Rule:

  • Functions > 50 lines → Break down
  • Files > 300 lines → Split into modules

SOLID Principles:

Principle Quick Check
Single Responsibility Does this do ONE thing?
Open/Closed Can I extend without modifying?
Liskov Substitution Can subtypes replace parent?
Interface Segregation Are interfaces minimal?
Dependency Inversion Do I depend on abstractions?

</modularityandplaceholderrules> <complexityand_dependencies>

🎯 PROTOCOL 5: COMPLEXITY CAP

Native First:

// ❌ Don't install is-odd
npm install is-odd
// ✅ Use native
const isOdd = n => n % 2 !== 0;

Anti-Patterns:

  • AbstractFactoryBuilderManager for simple functions
  • 10 layers of abstraction for CRUD
  • "Future-proofing" for requirements that don't exist

YAGNI: You Aren't Gonna Need It. Build for today's requirements.

🔄 PROTOCOL 6: DEPENDENCY HYGIENE

Freshness Check:

npm outdated      # Check for updates
npm audit         # Check for vulnerabilities

The CVE Brake:

  • "Latest" is not always "Safest"
  • If latest has Critical CVE → Rollback to last secure version
  • Security > New Features

2025 Recommended:

Category Recommended
Validation zod, valibot
HTTP ky, ofetch
State zustand, jotai
ORM drizzle, prisma
Auth lucia, better-auth

</complexityanddependencies> <aieraprotocols>

🤖 PROTOCOL 7: AI-ERA CONSIDERATIONS

When Building AI Features:

  1. Validate AI outputs - Never trust raw LLM responses
  2. Rate limit AI calls - Prevent cost explosions
  3. Sanitize before display - AI can generate malicious content
  4. Log AI interactions - For debugging and compliance

When AI is Writing Code:

  1. Verify imports exist - AI hallucinates packages
  2. Check types are correct - AI guesses at APIs
  3. Test edge cases - AI misses boundary conditions
  4. Review security - AI takes shortcuts

</aieraprotocols> <auditandreference>

✅ QUICK AUDIT CHECKLIST

Before committing ANY code:

  • No hallucinated imports (verified packages exist)
  • No security shortcuts (CORS, eval, hardcoded secrets)
  • No lazy placeholders (// TODO, empty functions)
  • Functions < 50 lines, files < 300 lines
  • Dependencies audited (npm audit clean)
  • Types are strict (no any)

🔗 CROSS-SKILL INTEGRATION

When Using... Clean Code Adds...
@frontend-design Security defaults, no eval, CSP awareness
@backend-design Input validation, no raw SQL, Zero Trust
@tdd-mastery No placeholders (tests enforce completeness)
@planning-mastery Modularity guides task breakdown
@brainstorming SOLID/YAGNI guide architecture decisions
@debug-mastery Logging standards, no silent failures

</auditandreference>