기존 작업이 수용 조건을 충족함을 입증하고 범위를 확장하지 않습니다. 검증 전용 작업, 완료 확인, 집중 게이트 실행 및 최종 점검에 사용하세요.
이 스킬은 AI 에이전트(Claude Code, Cursor, Codex 등)가 주어진 작업이 이미 완료된 상태에서 불필요하게 새로운 코드를 추가하거나 수정하는 것을 방지하도록 설계되었습니다. '검증 및 중단' 스킬은 개발자가 제품 코드를 건드리지 않고 기존 결과물이 수용 조건(acceptance criteria)을 충족하는지 확인하는 데 집중합니다. 일치하는 저장소 상태를 가진 여전히 유효한 결과를 재사용하고, 광범위한 게이트 이전에 집중적인 검사를 실행하여 통과, 실패, 사용 불가, 차단 상태를 명확히 구분합니다. 검증 증명이 완료되면 즉시 중단하고 명령어, 결과 및 해결되지 않은 위험만 보고합니다. 이는 완료 확인, 회귀 테스트 및 마지막 단계의 입증 작업에 특히 유용하며, AI가 범위를 확장하지 않도록 제어합니다.
npx skills add https://github.com/JuliusBrussee/caveman/tree/main/skills/verify-and-stopInstalled? Explore more 코딩 & 개발 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
수용 조건을 가장 작은 충분한 증명 집합으로 변환합니다.
수용 증명이 완료되면 즉시 중단합니다. 명령어, 결과 및 해결되지 않은 위험만 보고합니다.
This repo contains 12 individual skills — each has its own dedicated page.
Find and label every LLM workflow in the repository so Caveman Cloud groups spend by workflow instead of one bucket. Use for "discover workflows" or breaking LLM spend down by workflow.
Read-only review of Caveman Cloud evidence: cost, Cave Score, workflows, traces, latency, errors, routing, savings. Use when asked what Caveman found or where LLM spend goes.
Read-only repository explorer for cold-start orientation, broad cross-file localization, or when a direct search failed. Skip it when the exact file or symbol is already named. Returns path:line citations only; its reads stay out of main context.
Act on a Caveman learn report - review the ranked token sinks, apply cost-lowering fixes with per-edit consent, and report what those fixes returned. Use when asked to lower an agent's token cost, what caveman has saved, to trim a heavy CLAUDE.md, or to offload re-pasted context into cavemem.
Inspect Caveman Cloud's experiment lifecycle and block unsafe execution. Use when asked to start, approve, cancel, promote or roll back a Caveman experiment.
Turn a Caveman optimization observation into an operator-chosen candidate with a paired baseline evaluation. Use when asked to inspect or evaluate a Caveman optimization report. Needs explicit approval.
Wire a repository through the Caveman Cloud gateway so every LLM request is measured, with no behavior change. Use for "set up caveman" or adding LLM spend observability.
Diagnose ambiguous failures before editing. Use for unknown causes, intermittent behavior, performance regressions, or investigations needing evidence-ranked hypotheses.
Build feature work with high overbuilding risk. Use for new behavior, product slices, or integrations where repository reuse, strict scope, and an explicit stop condition matter.
Implement reversible compatibility-safe transitions. Use for schema, data, API, protocol, configuration, or dependency migrations requiring rollback and preservation proof.
Restructure code while preserving behavior. Use for extraction, consolidation, ownership moves, or cleanup where verification must bracket structural edits.
Fix bugs and small behavior changes at the narrowest responsible layer. Use when regression proof, preserved surrounding behavior, and task-relevant tests matter.
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.