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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.

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Quellinformationen

Repository
davepoon/buildwithclaude
Letzte Quellaktivität
9. Juli 2026 um 06:05
Erkannte Sprache von SKILL.md
Englisch
Sterne
3.565
Forks
539

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
check
description
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.
allowed-tools
Bash(ciagent *)
# 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.
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