Agent Readiness Audit

Agent Readiness Audit is an AI Engineering skill for Claude Code, published by mohitagw15856 in pm-claude-skills.

1.3K stars231 forkson mohitagw15856/pm-claude-skillsAdded 2026/08/20Repository updated 2026/08/20

agent-skillsagentsai-agentsai-toolsanthropicchatgptclaudeclaude-codeclaude-skillscursordeveloper-toolsgeminillmmcpmcp-serverproduct-managementproductivityprompt-engineeringpromptsskills

Install in seconds

Install Agent Readiness Audit

Copy Agent Readiness Audit into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/agent-readiness-audit ~/.claude/skills/agent-readiness-audit

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/mohitagw15856/pm-claude-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/agent-readiness-audit/SKILL.md in mohitagw15856/pm-claude-skills
Installs to: ~/.claude/skills/agent-readiness-audit
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Agent Readiness Audit does

Agent Readiness Audit evaluates whether AI agents can actually use a product by auditing docs, APIs, onboarding, errors, and discoverability from a non-human perspective. Use it when preparing for agentic traffic or when agents fail against your site or API, and get a scored readiness report with prioritized fixes.

Agent Readiness Audit is cataloged under AI Engineering on DirSkills. Agent Readiness Audit comes from a repository tagged agent-skills, agents, ai-agents, ai-tools and anthropic.

Documentation

README

Excerpt

Agent Readiness Audit Skill

A growing share of your product's users aren't human: agents research it, evaluate it, onboard onto it, and operate it on their principals' behalf. They can't watch your demo video, guess what an unlabeled icon means, or call support. This skill audits every surface an agent touches and scores how much of your product is invisible or unusable to them.

What This Skill Produces

A readiness score by surface (discovery, docs, API/auth, errors, onboarding, transactions)
Per-surface findings with the failing artifact quoted and the fix
A prioritised fix list ranked by agent-traffic impact vs effort
A re-test protocol so readiness is measured, not vibed

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agent Readiness Audit

What else does mohitagw15856 publish alongside Agent Readiness Audit?
Agent Readiness Audit is one of 25 skills that DirSkills catalogs from mohitagw15856/pm-claude-skills, the repository it ships in. Its siblings there include 360 Feedback Template, 401k Plan Decoder and A/B Test Planner. Each one is a separate skill with its own page in this directory, installs the same way Agent Readiness Audit does, and is maintained by mohitagw15856 in that same repository. The rest of the collection is listed on the mohitagw15856/pm-claude-skills page.
How does Agent Readiness Audit compare to other AI Engineering skills?
Agent Readiness Audit ranks #1116 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Readiness Audit against them. Open each page to compare what they document and how they install.