claude-filter

Audit prompts, CLAUDE.md, and agent SDK settings with five-axis PASS/WARN/FAIL scoring.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/TeamSPWK/nova-algorithm --skill claude-filter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-filter
Source: https://github.com/TeamSPWK/nova-algorithm/tree/main/skills/claude-filter
Command: npx skills add https://github.com/TeamSPWK/nova-algorithm --skill claude-filter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audits prompts, CLAUDE.md, and agent configurations to ensure they meet production-ready design principles, providing structured feedback and concrete improvements.

Core Features & Use Cases

  • Five-axis diagnostic framework (instruction structure, verification loop, context & cost, memory & state, permission & tool gating) for production-grade audits.
  • Deterministic, structured outputs that can be consumed by humans or machines to guide improvements.
  • Use Case: evaluate system prompts, agent configurations, and skill definitions to reduce deployment risk and validate safety requirements.

Quick Start

Paste your system prompts, CLAUDE.md, and agent settings to run a production-grade diagnostic.

Frequently Asked Questions about claude-filter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit agent configurations for production readiness?

Audit agent configurations for production readiness by applying a five-axis diagnostic model covering instruction structure, verification loops, context/cost, memory/state, and permission gating to generate explicit PASS/WARN/FAIL scores and structured improvement feedback.

What is a prompt audit for multi-agent orchestration?

A prompt audit for multi-agent orchestration evaluates system prompts and agent SDK settings across deployment scenarios to enforce safety requirements, validate reliability, and reduce deployment risk using structured toxicity checks and scoring.

How do I check CLAUDE.md files for LLM safety and reliability?

Check CLAUDE.md files for LLM safety by running them through a diagnostic framework that tests instruction structure, verification loops, and permission gating, returning deterministic structured outputs to guide improvements.

Does the production prompt diagnostic support toxicity checks and structured output?

Yes, the production prompt diagnostic enforces toxicity checks and delivers deterministic, structured outputs that can be consumed by humans or machines to guide concrete improvements for agent settings.

What is the best way to evaluate system prompts for deployment risk?

The best way to evaluate system prompts for deployment risk is applying a five-axis diagnostic model with explicit PASS/WARN/FAIL scoring to validate instruction structure, context/cost limits, and tool gating.

When should I run a prompt audit on my agent settings?

Run a prompt audit on agent settings before deployment to validate production-grade design principles, ensure multi-agent orchestration reliability, and enforce safety requirements across your configurations.