Agent skill · AI & Agents

check

Run CIAgent regression checks after changing an AI agent's code, prompts, or knowledge base in a repo that has agentci_spec.yaml, and interpret the results. Use after editing agent logic, before committing agent changes, or when the user asks whether the agent still works.

davepoongithub.com/davepoonGitHub ↗
claude-coderead-onlyMIT
Install
npx skills add davepoon/buildwithclaude --skill check --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Allowed tools: Bash(ciagent*)
Path: plugins/ciagent/skills/check/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

# Run CIAgent checks on this repo's agent The repo has `agentci_spec.yaml` (if it does not, use the `onboard` skill instead). Your job: run the right check for the change that was just made, read the result correctly, and never paper over a failure. ## Which command | Situation | Command | |---|---| | Spec or wiring changed, or no API keys | `ciagent test --mock` | | Agent code / prompt / retrieva

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

Run CIAgent regression checks after changing an AI agent's code, prompts, or knowledge base in a repo that has agentci_spec.yaml, and interpret the results. Use after editing agent logic, before committing agent changes, or when the user asks whether the agent still works.

How do I install it?

Run `npx skills add davepoon/buildwithclaude --skill check --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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