mcpbeat

Check

davepoon/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.

685 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
3248
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/davepoon/buildwithclaude --skill check

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

4 sections, as written by the author

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 / retrieval changed | ciagent test --yes --format json |

| Result differs from last run, or flakiness suspected | ciagent test --runs 3 --yes |

| Knowledge base changed | ciagent generate-checks --dry-run, review, then apply |

| The LLM judge's verdicts look wrong | ciagent judge-audit |

Live runs (test without --mock, judge-audit, generate-checks) call model

APIs on the user's keys. Mock mode is free. If the user has not already

approved live runs in this session, prefer --mock or ask.

Reading results

Exit codes: 0 pass (including flaky-but-passing), 1 correctness failure

(with --runs N: failed in every run), 2 infra or config error — fix the

setup, not the agent.

With --format json: per-query entries carry layer results (correctness /

path / cost) and the answer text; with --runs N a top-level stability block

lists flipped queries with flip_source.

Flip sources route the work:

  • agent-variance — the agent's answer changed between runs → fix the agent

(prompt, retrieval, temperature).

  • judge-flake — same answer, the LLM judge changed its verdict → fix the

eval (tighten the rubric or replace with a deterministic check).

  • infra-error — a judge API call failed → retry; fix nothing.
  • mixed — ambiguous; look at the answers yourself.

Rules

  • A correctness failure means the agent lost a fact it used to state. Fix the

agent, or — only if the check itself is factually wrong — fix the check.

Never weaken or delete a correct check or baseline to make a run green;

report the failure to the user instead.

  • After intentionally changing agent behavior, re-record the affected golden:

delete its baseline file and rerun

ciagent bootstrap --runner <runner> --queries <file> --yes for that query,

or update the spec's expectations — with the user's confirmation.

  • Report results in one or two sentences: score, what failed and in which

layer, flip sources if any, and the command you ran.

How to use it

Copy the folder

Take davepoon/check from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.