agent-cold-start-diagnostic

Score agent configuration artifacts against an eight-dimension operational completeness rubric.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill agent-cold-start-diagnostic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-cold-start-diagnostic
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/agent-cold-start-diagnostic
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill agent-cold-start-diagnostic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Catches gaps in agent configuration that cause silent failures by scoring operational completeness and identifying missing decision frameworks, escalation rules, rhythms, and error handling.

Core Features & Use Cases

  • Assess CLAUDE.md, memory files, agent.yaml, and cron rhythms to gauge configuration health across single or multi-agent setups.
  • Provide a structured, rubric-based report highlighting missing components and gaps, plus recommended fixes.
  • Use before deploying a new agent persona, after editing agent artifacts, or as a recurring governance check.

Quick Start

Run the cold-start diagnostic against your agent's config root to generate a completeness report.

Frequently Asked Questions about agent-cold-start-diagnostic

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

FAQPage Schema
How do I check my agent's configuration for operational completeness before deployment?

To check operational completeness, score the agent's configuration artifacts against a rubric covering Identity, Decision Frameworks, Escalation, Task Specification, Rhythms, Memory, Error Handling, and Style. This diagnostic identifies missing components and suggests fixes to prevent silent failures.

What causes silent failures in agent configurations?

Silent failures in agent configurations are caused by gaps in operational completeness, specifically missing decision frameworks, escalation rules, rhythms, and error handling. Running a diagnostic rubric against CLAUDE.md, agent.yaml, and memory files alerts you to these missing components.

How do I assess CLAUDE.md and agent.yaml files for missing escalation rules?

Assess CLAUDE.md and agent.yaml files by applying a cross-reference validation against an eight-dimension operational completeness rubric. This process alerts you to missing escalation rules and provides a structured report with recommended fixes.

Can I use an operational completeness diagnostic for multi-agent setups?

Yes, the operational completeness diagnostic applies to both single and multi-agent setups. It evaluates configuration artifacts including cron rhythms and memory files across the entire setup to identify gaps and suggest fixes.

When should I run an agent configuration health check?

Run an agent configuration health check before deploying a new agent persona, immediately after editing agent artifacts, or as a recurring governance check. This ensures ongoing operational readiness and catches gaps that cause silent failures.

What is the best way to score an agent's operational readiness?

The best way to score an agent's operational readiness is to evaluate its configuration artifacts against an eight-dimension rubric with cross-reference validation. This generates a structured report highlighting missing components, gaps, and recommended fixes.