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failure-asymmetry

Compare human and agent skill invocations to detect divergence risks.

4|1|Updated Apr 11, 2026
Search Tags:#evaluation#quality-assurance#ai-safety#agent-invocation#failure-asymmetry#human-invocation
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill failure-asymmetry
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: failure-asymmetry
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/failure-asymmetry
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill failure-asymmetry

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Skills that work perfectly when a human invokes them can fail silently when an agent invokes them autonomously. This skill helps teams identify those divergences before they cause production failures.

Core Features & Use Cases

  • Phase-based intake and comparison of human vs agent invocation for a target skill.
  • Detects divergences in output format, context assumptions, required inputs, and interactive prompts.
  • Use Case: validate a skill before deploying in scheduled or agent-to-agent workflows.

Quick Start

Run the analysis by supplying the target skill's SKILL.md to compare human and agent invocation behaviors.

Frequently Asked Questions about failure-asymmetry

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

FAQPage Schema
How do I detect agent invocation divergences before autonomous deployment?▼

To validate skills before scheduling, you compare human and agent invocation behaviors to detect drift. This skill analyzes the target SKILL.md to flag divergences in required inputs, output formats, and interactive prompts for scheduled workflows.

What is failure asymmetry in AI agent-to-agent pipelines?▼

Failure asymmetry in agent-to-agent pipelines arises when skills work for human invocation but fail silently for agents. It involves divergences in context assumptions and interactive prompts that disrupt production toolchains.

How do I validate a skill for autonomous agent workflows?▼

You validate a skill for autonomous agent workflows by supplying its SKILL.md to perform a phase-based intake. This process compares human and agent invocation behaviors to detect output format and input requirement drift.

Do I need a SKILL.md file to compare human vs agent invocation?▼

Yes, you need the target skill's SKILL.md file to compare human vs agent invocation. The skill inspects this file to extract execution phases, inputs, outputs, and error paths for accurate divergence detection.

What causes silent failures when an agent invokes a skill autonomously?▼

Silent failures during autonomous agent invocation are caused by divergences in context assumptions, output formats, and required inputs. Interactive prompts that humans handle gracefully often trigger these errors in AI pipelines.

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