dev-tooling ·
caveman
🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.
# why many token when few do trick
**Caveman make your AI agent say less and read less. Code stay exact. Brain still big.**
33.2% fewerinput tokens, whole sessions54 Claude Code runs, 18 of 18 answers right |
54% cheaperwith Auto, same score85 coding tasks vs Opus 5.5 at xhigh, interim |
397 → 76tokens for one test runBlocks vs | tail -20 |
1.4 to 2.4× cheaperwith caveman-style outputAdobe Research, eight models |
**#1** on [Hacker News](https://news.ycombinator.com/item?id=47647455) · **#1** on GitHub Trending · *"No way this actually works."* [ThePrimeagen](https://www.youtube.com/watch?v=L29q2LRiMRc) **[Install](#install) · [Six rocks](#six-rocks-one-install) · [Proof](#proof) · [Say less](#say-less-the-caveman-voice) · [Read less](#read-less-332-fewer-input-tokens) · [Auto](#auto-54-cheaper-same-score) · [Blocks](#blocks-code-mode-script-written-once) · [Commands](#commands) · [Caveman Cloud](#caveman-cloud)**
| Normal agent · 63 tokens |  Caveman agent · 20 tokens |
|---|---|
| > The reason your React component is re-rendering is likely because you're creating a new object reference on each render cycle. When you pass an inline object as a prop, React's shallow comparison sees it as a different object every time, which triggers a re-render. I'd recommend using useMemo to memoize the object. | > New object ref each render, so React re-renders. Wrap the prop in `useMemo`. |
@latest, or the old copy on your machine wins. Already set up? caveman setup opens the screen again. Only want shorter answers? Get just the skill.
## Six rocks, one install
New in 4.0: caveman is six parts. All on after install. Each has its own switch.
| Rock | What it does | Measured |
|---|---|---|
| **[Say less](#say-less-the-caveman-voice)** | Agent answers short. Code stays exact | 63 → 20 tokens, same fix |
| **[Read less](#read-less-332-fewer-input-tokens)** | Logs, JSON, CSV, test output shrink before the model reads them | **33.2%** fewer input tokens per session |
| **[Auto](#auto-54-cheaper-same-score)** · new | Picks the model and the effort for each ask | **54%** cheaper than Opus at xhigh, same score |
| **[Blocks](#blocks-code-mode-script-written-once)** · new | Code mode: agent keeps the scripts it writes and runs them again | **397 → 76** tokens for one test run |
| **[Waste fixes](#smaller-rocks)** | Finds where your tokens go and fixes it. New: keeps the prompt cache warm while you pause | Not measured yet |
| **[Browse](#smaller-rocks)** | Web pages come back compressed | **129.8×** smaller page |
`caveman status` shows what is on. `caveman off browse` turns one off. Only Auto needs an account, and it is free. [4.0.0 release notes](https://github.com/JuliusBrussee/caveman/releases/tag/v4.0.0)
## Proof
Outside labs first. Ours come with each rock below. Nothing rounded up. Red rows stay red.
| Who | Setup | Result |
|---|---|---|
| **[Adobe Research](https://arxiv.org/abs/2606.24083)**, CAVEWOMAN paper (cites this repo) | Caveman-style output, eight models, five datasets | **Cost cut 1.4 to 2.4× per model, up to 3×** |
| **[Elastic](https://www.elastic.co/search-labs/blog/elastic-caveman-ai-token-reduction)**, Elasticsearch Labs | Caveman mode remade for Elasticsearch, eight live MCP scenarios | **63.6% fewer response tokens.** *"Zero information loss."* |
| **[JetBrains](https://blog.jetbrains.com/ai/2026/07/speak-to-ai-agents-like-cavemen-tosave-tokens/)** | 86 real coding tasks, paired A/B | **No measurable quality loss** (p = 0.82). 8.5% fewer output tokens |
Two findings shaped caveman. Adobe: cavemanning *your* prompt makes answers worse, so caveman never touches your prompt. JetBrains: agent sessions are mostly code and tool calls, which the voice leaves alone. So caveman grew rocks that shrink what the agent *reads* and what it *runs on*.
## Say less: the caveman voice
**A voice, not broken grammar. Every reply follows the same structure.**
| Rule | What it means |
|---|---|
| **Answer first** | `[thing] [action] [reason]. [next step].` No greeting, no "let me", no recap |
| **One idea per sentence** | Built on [ASD-STE100](https://www.asd-ste100.org/), the controlled English of aircraft maintenance manuals: 20 words max, active voice, one term per thing |
| **Meaning never dropped** | Articles can go. *not*, *never*, *no*, *only* never go. Numbers and units stay exact |
| **Payload verbatim** | Code, commands, paths, and error messages untouched, character for character |
| **No theater** | No "me think". No chatter between tool calls. If caveman phrasing isn't shorter, plain wins |
| **Knows when to stop** | Security warnings, irreversible actions, and confused users get full sentences. Then grunt resumes |
| **Your prompts stay yours** | Never rewritten. [Research say that backfire](#proof) |
Ten dev questions on claude-opus-5-5:
| Instruction | Output tokens |
|---|---:|
| None | 6,983 |
| `Answer concisely.` | 4,334 |
| `/caveman` | 4,119 |
| `/ultracave` | **2,693** |
"Be concise" is the real baseline; new models already know it. On top of it, `/caveman` cuts 3% more at the median and `/ultracave` 35% more. Measured on the 3.1.0 rules, not yet re-run. The rules cost about 1,160 tokens of input, and if you pay per request (GitHub Copilot), shorter answers save nothing. [Harness](./evals/README.md) · [Every case where caveman loses](./docs/HONEST-NUMBERS.md)
**Only want this rock?** The skill alone, no proxy:
```bash
npx skills add JuliusBrussee/caveman -g
```
Claude on the web, the phone app, or Cowork? No terminal. Add caveman to your Claude account once, in Customize > Plugins: [steps](./INSTALL.md#claude-apps-claudeai-desktop-mobile-cowork). Not tested end to end yet. ```bash # Claude Code plugin, auto-starts every interactive session, subagents too claude plugin marketplace add JuliusBrussee/caveman && claude plugin install caveman@caveman # Gemini CLI gemini extensions install https://github.com/JuliusBrussee/caveman # Every agent on your machine at once, plus the Claude Code statusline badge (Node.js 22.13+) curl -fsSL https://raw.githubusercontent.com/JuliusBrussee/caveman/v4.0.1/install.sh | bash ``` Already inside Claude Code? Same rock, slash form. Type these where you talk to Claude: ```text /plugin marketplace add JuliusBrussee/caveman /plugin install caveman@caveman ``` Windows, PowerShell 5.1+: ```powershell irm https://raw.githubusercontent.com/JuliusBrussee/caveman/v4.0.1/install.ps1 | iex ``` On npm 12 or newer, new npm block git install. One-liners above handle it themselves from v3.2.0 on. Old one-liner pinned to v3.1.0 or older still fail there: use one above, or this: `npx --allow-git=root -y github:JuliusBrussee/caveman#v4.0.1` Changed your mind: `npx -y github:JuliusBrussee/caveman -- --uninstall` (on npm 12+, add `--allow-git=root` too) Only grabbed the skill? `npx skills remove JuliusBrussee/caveman -g` take it back out. Install broke? Open your agent in this repo and say *"Read CLAUDE.md and INSTALL.md, install caveman for me."* Agent fix own brain. ## Read less: 33.2% fewer input tokens **The voice shrinks what the agent says. This shrinks what it reads. Same answers: 18 of 18 right.** | File type | The file, through caveman | File saved | Whole Claude Code session, 3 runs | Session saved | |---|---:|---:|---:|---:| | CSV | 28,041 → **314** | **98.9%** | 165,823 → 74,484 | **55.1%** | | Logs | 22,810 → **348** | **98.5%** | 148,807 → 74,068 | **50.2%** | | YAML | 20,447 → **178** | **99.1%** | 132,124 → 71,027 | **46.2%** | | Test output | 18,806 → **203** | **98.9%** | 150,377 → 108,514 | **27.8%** | | JSON | 18,837 → **281** | **98.5%** | 147,975 → 108,939 | **26.4%** | | HTML | 21,670 → 21,670 | none yet | 140,687 → 154,641 | 9.9% worse | | **All six** | 130,611 → 22,994 | 82.4% | **885,793 → 591,673** | **33.2%** | *The file* is each test file through today's compressor alone. *The session* is the whole agent run, which also carries the system prompt and tools, so it moves less. Honest part: the session run is from August 2026 on an older engine, HTML has no compressor yet so it lost, and each test file hides one record in 61 to 72 KB of noise. Yours will vary. Headroom on the same suite: 15 of 18 right, 6.7% fewer tokens. [Method](./docs/WRAP-BENCHMARK.md#per-file-compression) Every original stays on your disk. The agent can pull it back any time. ## Auto: 54% cheaper, same score **New model in your agent's picker. Pick Auto and caveman chooses the model and the effort for each ask. Hard ask, big brain. Easy ask, save rocks.** | Setup | Tasks solved | Cost per try | Median time | |---|---:|---:|---:| | Opus 5.5, xhigh effort, every ask | 44.3% | $7.83 | 35.2 min | | **Auto**, Claude models only | **43.7%** | **$3.59** | **15.9 min** | | **Auto**, plus OpenAI and open models | 42.9% | $3.47 | 16.7 min | Auto costs 0.46× what Opus 5.5 at xhigh costs. That is 54% saved, in under half the time. 85 real coding tasks from SWE-Interact and SWE-Together, one try each. Honest part: the run is half done, the 0.5-point score gap is too small to tell apart at this size (±7), and most of the saving is Auto lowering effort on easy asks. Already on Opus at medium? Expect less; not measured yet. [Full table and limits](./docs/AUTO-BENCHMARK.md) ```bash caveman login # free account. Auto shows up in the model picker caveman providers add openai # optional: give Auto more models, on your own key ``` Works in Claude Code, OpenCode, and Codex on a ChatGPT login, with API keys, Claude Pro/Max, or ChatGPT. Any other model you pick runs as picked. Not signed in: no Auto, nothing sent. [What Auto sends](#privacy) ## Blocks: code mode, script written once **skills.sh for code mode.** Code mode is the agent writing a script instead of making tool call after tool call ([Cloudflare](https://blog.cloudflare.com/code-mode/), [Anthropic](https://www.anthropic.com/engineering/code-execution-with-mcp)). Problem: agent write same script every session, throw it away, write it again. Blocks keep it in your repo, check it every pull request, hand it back. | Input | Raw | What agents type now | Block | |---|---:|---:|---:| | `go test -v ./...`, 326 tests | 10,561 | 397 · `\| tail -20` | **76** · `test-summary` | | 1.4 MB JSON file | 251,893 | 236 · their own heredoc | **227** · `json-peek` | | 366-line Go file | 3,111 | **250** · `grep -n` | 489 · `grep-defs` | Tokens the agent reads back. In one week, agents on one machine wrote the same script [394 times](https://github.com/caveman-ai/blocks#one-script-written-394-times-in-a-week). [Purdue](https://arxiv.org/abs/2609.30725) measured the habit at up to 9.57% of task cost. `grep-defs` loses to a bare grep; row stays. [Method](https://github.com/caveman-ai/blocks#blocks-against-what-agents-type-now) Comes with caveman. Eight blocks ready: `json-peek` · `jsonl-stats` · `test-summary` · `first-error` · `wait-for` · `grep-defs` · `http-json` · `replace-in-file`. When the agent starts typing a script a block already covers, it gets one line: use the block. Never denies or rewrites a command. ```bash caveman-blocks scan # what your agents retyped this month. Script text never leaves your machine caveman-blocks init # rules and block index into this repo's AGENTS.md ``` Pre-release (v0.1.0-rc.5). Python only, no sandbox yet. Own repo, own stars: **[caveman-ai/blocks](https://github.com/caveman-ai/blocks)** ## Smaller rocks | Rock | What it does | Measured | |---|---|---| | `caveman learn` | Ranks where your tokens go, from agent history already on disk. `caveman learn implement` applies fixes one diff at a time, only on your yes | Not yet | | Warm cache · new | Step away and the provider forgets your session, so the next ask pays full price. Caveman keeps Anthropic's prompt cache warm while you pause, only when your own history says you come back in time. Every warm is listed in `caveman stats` | Not yet | | `caveman browse ` | A compressed web page for the agent | **121 tokens instead of 15,704** for a Playwright snapshot of a 200-row table. Tiny forms lose 2.3×. [Bench](./browse/BENCHMARK.md) | | `/caveman-compress ` | Shrinks memory files like `CLAUDE.md`, keeps a backup | **4,138 tokens instead of 6,198** across five files, 22.8% to 49.1% each, every heading, code block, and path intact. [Bench](./skills/caveman-compress/README.md#benchmarks) | | Middleware | Same shrinking inside the Vercel AI SDK, LangChain, OpenAI, or Anthropic call you already make. [TypeScript](./packages/middleware/typescript/README.md) · [Python](./packages/middleware/python/README.md) · [Every framework](https://docs.caveman.so/caveman/middleware) · [One container for the team](docs/technical/deploy.md) | Not yet |
