将代码定位、一至两个文件的修改和差异审查分配给专门的辅助智能体,以简短的结构化格式接收结果,减少主智能体的上下文占用。
- 查找定义和调用位置
- 限定在一至两个文件内修改
- 审查代码差异中的缺陷
查看 Caveman Cloud 实验状态和评估结果,整理启动、批准、取消或回滚的判断依据。根据证据提出建议,并阻止执行状态变更。
Inspect Caveman Cloud's experiment lifecycle and block unsafe execution. Use when asked to start, approve, cancel, promote or roll back a Caveman experiment.
caveman-manage 读取 Caveman Cloud 实验的当前状态和评估结果,从启动、批准、取消或回滚中,提出一项有证据支持的建议。它检查对照组与候选组的样本量、质量评估,以及响应时间、错误、费用等安全标准。结果尚未确定、必要证据不足或违反标准时,不建议批准。
适合判断实验能否进入下一阶段,或是否需要撤回正在运行的变更。操作人员在外部执行操作后,也可重新读取服务器状态,核实结果。
需要登录 Caveman Cloud 并选择项目。优先使用 MCP,也通过 CLI 读取信息。当前面向智能体的功能仅支持读取,即使用户批准,也不会执行状态变更。此外,不会将实验中的改善视为已由实际流量和账本证据证实的节省金额。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。
总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月20日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Treat every lifecycle change as a production control action. Read current state and results, then report one supported recommendation or block. Current agent MCP is intentionally read-only: control-api does not yet enforce a complete lifecycle transition table and evidence gate atomically.
verified_savings. Only active real
traffic plus provider-causal, provider-complete ledger evidence can do that.<action>:<experiment_id> strings are agent-generatable and are not proof of
human intent.cave_snake_code.Prefer MCP:
caveman_context {}
caveman_experiment_get {"action":"get","experiment_id":"<id>"}
caveman_experiment_get {"action":"results","experiment_id":"<id>"}
Use {"action":"list"} when the user has not named an id.
CLI fallback:
caveman cloud experiments list
caveman cloud experiments show <id>
caveman cloud experiments results <id>
Stop if login, project, experiment, or results are unavailable.
Report:
Absence is not a pass. If a required field is absent, state
evidence incomplete and do not propose approval.
Allowed actions:
start — only from a startable draft or queued state with configured graders;approve — only with complete passing evidence and a safety class the
current role may approve;cancel — stop a non-active experiment the user no longer wants;rollback — revert an active or harmful change through the server's linked
policy path. Current deployments may reject this honestly with
cave_not_implemented; never describe that response as a rollback.Show recommendation and id:
Proposed action: approve experiment 7f...
Reason: candidate passed quality and every configured guardrail.
Execution: blocked until server-authoritative lifecycle and evidence gates ship.
Do not treat earlier generic statements such as "manage it" or "do what is best" as mutation approval.
Do not emit or run an executable lifecycle command. Explain that current server does not yet enforce every evidence/state transition atomically. CLI and MCP agent surfaces therefore expose experiment reads only.
If operator says they executed command, read detail and results again. Report server-observed post-state, audit or result response, and any policy-delivery status returned. Never infer success from operator intent alone.
Use this close:
Action: <action> <experiment-id>
Before: <state>
Server response: <status and cave_snake_code if any>
After: <re-read state>
Basis: experiment evidence only. Verified savings unchanged unless the signed
ledger independently records active, provider-causal real-traffic savings.
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将代码定位、一至两个文件的修改和差异审查分配给专门的辅助智能体,以简短的结构化格式接收结果,减少主智能体的上下文占用。
将智能体回复整理为先给结论的简短文字,省去问候和冗长铺垫,同时保留代码、数值、否定与例外条件等必要信息,兼顾可读性。
按Conventional Commits格式生成简短的提交消息,说明代码变更意图,并为破坏兼容性的变更、迁移等情况补充正文背景。
将CLAUDE.md、任务列表等文件中的自然语言压缩为简短表述,减少输入令牌。保留代码与文档结构,并在单独位置备份便于阅读的原文。
按具体工作梳理代码中使用大语言模型的流程,先提出用途标签方案,获批后再添加标签,便于在 Caveman Cloud 中按流程分别查看费用。
以只读方式检查Caveman Cloud的费用、响应时间和错误,对照汇总数据与单次执行记录,依据证据整理支出构成及可改进之处。