驗證並停止
將驗收條件轉化為最小且充分的證明集。
- 重複使用與目前儲存庫狀態一致、仍有效的既有結果。
- 在執行更廣泛的關卡前，先執行聚焦檢查。
- 精確區分通過、失敗、無法取得及受阻四種狀態。
- 除非驗證請求中包含修正，否則不編輯產品程式碼。
- 驗收通過後，不加入潤飾、清理或無關的測試。
一旦驗收證明完成立即停止。僅回報指令、結果及未解決的風險。
驗證既有工作是否符合驗收條件，不額外擴充範圍。適用於純驗證任務、完成度檢查、聚焦關卡執行及最後一哩證明。
此技能專注於將驗收條件轉化為最小且充分的驗證集，以確認現有工作已符合要求，並在證明完成後立即停止。其核心價值在於防止 AI 代理在驗證過程中無意間擴大範圍、引入不必要的改動或新增未關聯的測試。技能支援重複使用與當前儲存庫狀態一致的既有結果，並在執行更廣泛的關卡檢查前先執行聚焦驗證。它明確區分結果狀態：通過、失敗、無法取得以及受阻。除非驗證請求中明確包含修正，否則不可編輯產品程式碼，且不得在驗收通過後加入潤飾、清理或不相關的測試。此技能適用於純驗證任務、完成度檢查、聚焦關卡執行以及最終確認工作已無遺漏的最後一哩證明。
npx skills add https://github.com/JuliusBrussee/caveman/tree/main/skills/verify-and-stopInstalled? Explore more 程式設計與開發 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
將驗收條件轉化為最小且充分的證明集。
一旦驗收證明完成立即停止。僅回報指令、結果及未解決的風險。
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.