验证并停止
将验收条件转化为最小且充分的证明集。
- 重用仍然有效且仓库状态匹配的结果。
- 在更广泛的门控检查之前运行针对性检查。
- 精确区分通过、失败、不可用和阻塞这四种状态。
- 除非验证请求包含修复，否则不修改产品代码。
- 验收条件通过后，不添加额外的优化、清理或不相关的测试。
验收证明完成后立即停止。仅报告执行的命令、结果和未解决的风险。
验证现有工作是否满足验收条件，绝不扩大范围。适用于纯验证任务、完成检查、专注的门控运行和最后的确认。
此技能优化了AI代理在验证任务中的行为，通过最小化所需证明集来确认现有工作是否满足验收条件。它鼓励重用仍然有效的结果，避免不必要地重新运行测试，从而节省时间和计算资源。该技能定义了四种明确的状态：通过、失败、不可用和阻塞，确保对验证结果的精确沟通。它严格禁止编辑产品代码或添加任何改进、清理或不相关的测试，仅当验证请求包含修复时才允许修改。一旦验收证明完成，代理必须立即停止，只报告执行的命令、结果和未解决的风险。此技能适用于需要严格范围控制的场景，如完成检查、焦点门控运行和最后的确认工作。
npx skills add https://github.com/JuliusBrussee/caveman/tree/main/skills/verify-and-stopInstalled? Explore more 编程与开发 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
将验收条件转化为最小且充分的证明集。
验收证明完成后立即停止。仅报告执行的命令、结果和未解决的风险。
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.