Agent skill · Testing & QA

onboard

Set up CIAgent regression testing for the AI agent in this repo — write a runner, record golden baselines, generate a test spec, and verify it. Use when the user asks to add tests, evals, or regression testing for their AI agent, or to set up CIAgent.

davepoongithub.com/davepoonGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add davepoon/buildwithclaude --skill onboard --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Allowed tools: Bash(ciagent*)Bash(pipinstall*)Bash(python-c*)ReadGrepGlobWrite
Path: plugins/ciagent/skills/onboard/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,251
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Onboard CIAgent into this repo You are setting up CIAgent (`pip install ciagent`) so this repo's AI agent has recorded golden baselines and a runnable regression suite. The end state: the user can run `ciagent test --runs 3` and see a stability report for their agent. Work through the steps in order. Do not skip the cost gate in step 4. ## 1. Find the agent and install CIAgent - Locate the agent

More from buildwithclaude
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About this skill
What does the onboard skill do?

Set up CIAgent regression testing for the AI agent in this repo — write a runner, record golden baselines, generate a test spec, and verify it. Use when the user asks to add tests, evals, or regression testing for their AI agent, or to set up CIAgent.

How do I install it?

Run `npx skills add davepoon/buildwithclaude --skill onboard --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From davepoon/buildwithclaude, a repository with 3,251 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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