View recorded output tokens, cache-read tokens, response counts, and available mode attribution for a Claude Code session. In other agent environments, find the native usage report where supported, without treating observed usage as proof of savings.
中文简介正在准备中。当前显示英语简介。
Show recorded output and cache-read token usage and mode attribution for the current Claude Code session, or locate the host's native usage report. Trigger: /caveman-stats.
安装前可以查看交给 AI 代理的指令内容。
In Claude Code, src/hooks/caveman-mode-tracker.js resolves src/hooks/caveman-stats.js next to itself and runs it on /caveman-stats. The hook does not block the prompt: it supplies the report through hookSpecificOutput.additionalContext with an instruction to print it verbatim inside a fenced code block. Do exactly that, and do not calculate, recompute or re-round the numbers yourself.
In Gemini CLI, direct the user to /stats model for current session token usage or /stats session for session statistics. Gemini custom commands are prompts; they cannot invoke the built-in command or read its live session metrics. Never read Claude Code transcripts as Gemini usage. In other hosts, use a native usage report if one is available; otherwise say that current session usage is unavailable. The Claude reader and its lifetime history apply only to Claude Code. Savings remain unknown in every host without a measured comparison.
The report shows recorded output and cache-read tokens, response counts, and mode attribution where available. Savings are unknown: the transcript has no measured comparison without Caveman. Do not infer saved tokens, percentages, dollars, rule overhead, or a net result from output counts or the current mode.
--all and --since 7d aggregate the latest recorded output count per session. --share reports observed usage with savings unknown. Historical est_saved_* fields are ignored; their original history rows remain on disk. The statusline shows the active mode without the retired savings badge.
Original/current memory-file pairs are reported by their measured byte sizes. Those file-size differences do not establish provider token or billing savings. See docs/HONEST-NUMBERS.md.
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Delegate code lookup, small edits, and diff reviews to three specialized subagents. Their compact, structured results help conserve the main agent's context, with guidance on when to delegate and when to keep work in the main conversation.
中文简介正在准备中。当前显示英语简介。
Make agent replies shorter and easier to scan by putting answers first and removing filler. Preserves technical details, exact commands, numbers, and essential conditions while keeping the user's chosen language.
中文简介正在准备中。当前显示英语简介。
Create short commit messages using Conventional Commits, a format that labels the type of change. Emphasize intent, keep the subject concise, and include explanatory text when breaking changes, security fixes, data migrations, or reversions require context.
中文简介正在准备中。当前显示英语简介。
Compress memory files and task lists into shorter wording to reduce input tokens. Keeps code and document structure intact, saves a readable backup separately, and sends the text to the configured model provider.
中文简介正在准备中。当前显示英语简介。
Find LLM workflows in a codebase and label them by the job they perform, so Caveman Cloud can separate spending by workflow. Present a labeling proposal for approval, apply focused code changes, and check an affected execution path.
中文简介正在准备中。当前显示英语简介。
Review Caveman Cloud spending, latency, errors, and potential improvements using current reports and traces, or individual execution records. Produce findings tied to time windows and trace IDs, while keeping measured costs, estimated opportunities, and verified savings separate.
中文简介正在准备中。当前显示英语简介。