AI Agent Testing

by naodeng

AI Agent Testing is a Quality skill for Claude Code, published by naodeng in awesome-qa-skills.

193 stars27 forkson naodeng/awesome-qa-skillsAdded 2026/09/05+1% in starsRepository updated 2026/09/03

View source on GitHub Download repo ZIP

agent-skillsai-qaai-skillsai-testingai-toolsawesome-listprompt-engineeringqaqa-skillsskills

Install in seconds

Install AI Agent Testing

Copy AI Agent Testing 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/naodeng/awesome-qa-skills/tree/main/skills/en/testing-types/ai-agent-testing ~/.claude/skills/ai-agent-testing

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/naodeng/awesome-qa-skills.git

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

In this catalog

Source file: skills/en/testing-types/ai-agent-testing/SKILL.md in naodeng/awesome-qa-skills
Installs to: ~/.claude/skills/ai-agent-testing
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1662 skills

What AI Agent Testing does

AI Agent Testing verifies agent planning, memory, tool use, recovery, safety boundaries, and task completion quality. Use it to review an agent run, assess evidence, and produce bounded improvements when context is incomplete.

AI Agent Testing is cataloged under Quality on DirSkills. AI Agent Testing comes from a repository tagged agent-skills, ai-qa, ai-skills, ai-testing and ai-tools.

Documentation

README

Excerpt

AI Agent Testing

When to Use

Use this skill when you need to systematically verify agent planning, memory, tool use, recovery, safety boundaries, and task completion quality.
Use it to review an existing plan, result, or evidence set and produce actionable improvements.
Use it when context is incomplete but a bounded first pass is still valuable.

Output Format Options

Default to Markdown for review, execution, and incremental refinement.
When the user requests tables, CSV, JSON, or ticket fields, preserve risk, evidence, priority, and boundary information.
For machine-consumed output, confirm the schema, enums, and required fields first.

How to Use

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

Frequently asked about AI Agent Testing

What else does naodeng publish alongside AI Agent Testing?
AI Agent Testing is one of 25 skills that DirSkills catalogs from naodeng/awesome-qa-skills, the repository it ships in. Its siblings there include AI Feature Testing, AI-Assisted Testing and AI-Generated Test Review. Each one is a separate skill with its own page in this directory, installs the same way AI Agent Testing does, and is maintained by naodeng in that same repository. The rest of the collection is listed on the naodeng/awesome-qa-skills page.
How does AI Agent Testing compare to other Quality skills?
AI Agent Testing ranks #1554 by stars among the 1662 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. 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 AI Agent Testing against them. Open each page to compare what they document and how they install.