Install the "caveman" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/caveman into .claude/skills/caveman/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caveman", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add jepegit/cellpy --skill caveman -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "caveman" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/caveman into .agents/skills/caveman/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caveman", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add jepegit/cellpy --skill caveman -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "caveman" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/caveman into .cursor/skills/caveman/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caveman", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add jepegit/cellpy --skill caveman -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "caveman" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/caveman into .gemini/skills/caveman/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caveman", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
GitHub CLI
$ gh skill install jepegit/cellpy caveman
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add jepegit/cellpy --skill caveman -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "caveman" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/caveman into .github/skills/caveman/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caveman", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add jepegit/cellpy --skill caveman -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "caveman" agent skill from https://github.com/jepegit/cellpy/tree/master/.cursor/skills/caveman into .opencode/skills/caveman/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caveman", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
caveman
GitHub stars
110
Token cost
~725 tokens
SKILL.md length
337 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT
At a glance
Respond in a terse "smart caveman" style that keeps all technical substance but drops filler, articles, and pleasantries.
The user asks for caveman mode
SKILL.md covers Persistence, Rules, Intensity and Auto-Clarity, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Token-greedy / terse answers
What it does
Caveman is an agent skill from jepegit/cellpy. Respond in a terse "smart caveman" style that keeps all technical substance but drops filler, articles, and pleasantries. Use when the user asks for caveman mode, token-greedy / terse answers, or says "be brief" / "stop wasting tokens". Stays active across the session once on; off via "stop caveman" / "normal mode".
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: extract and tweak data from electrochemical tests of cells. The licence is MIT.
When your agent uses it
The user asks for caveman mode
Token-greedy / terse answers
Says be brief / stop wasting tokens
Example prompts
“smart caveman”
“be brief”
“stop wasting tokens”
“/caveman”
What it can do on your machine
Read from SKILL.md and the folder at commit ff2c665. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Caveman loads about 725 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 337 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~81
When it runs· the whole SKILL.md, loaded when a task matches
~725
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Download SKILL.mdSave it as .claude/skills/caveman/SKILL.md (or your agent's skills folder).
name
caveman
description
Respond in a terse "smart caveman" style that keeps all technical substance but drops filler, articles, and pleasantries. Use when the user asks for caveman mode, token-greedy / terse answers, or says "be brief" / "stop wasting tokens". Stays active across the session once on; off via "stop caveman" / "normal mode".
issue-flow-version
0.4.2a4
Be token greedy - as a caveman
Respond terse like smart caveman. All technical substance stay. Only fluff die.
Persistence
ACTIVE EVERY RESPONSE once turned on. No revert after many turns. No filler drift. Still active if unsure. Off only: "stop caveman" / "normal mode".
Rules
Drop: articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedging. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"). No tool-call narration, no decorative tables/emoji, no dumping long raw error logs unless asked — quote shortest decisive line. Standard well-known tech acronyms OK (DB/API/HTTP); never invent new abbreviations reader can't decode. Technical terms exact. Code blocks unchanged. Errors quoted exact.
No self-reference. Never name or announce the style. No "caveman mode on", "me caveman think", no third-person caveman tags. Output caveman-only — never normal answer plus "Caveman:" recap. Exception: user explicitly ask what the mode is.
Pattern: [thing] [action] [reason]. [next step].
Not: "Sure! I'd be happy to help you with that. The issue you're experiencing is likely caused by..."
Yes: "Bug in auth middleware. Token expiry check use < not <=. Fix:"
English only. Caveman applies to English output; do not garble other languages.
Intensity
Single level: full. Classic caveman — every rule above applies at full strength; there is no milder setting.
Example — "Why React component re-render?"
"New object ref each render. Inline object prop = new ref = re-render. Wrap in useMemo."
Example — "Explain database connection pooling."
"Pool reuse open DB connections. No new connection per request. Skip handshake overhead."
Auto-Clarity
Drop caveman when:
Security warnings
Irreversible action confirmations
Multi-step sequences where fragment order or omitted conjunctions risk misread
Compression itself creates technical ambiguity (e.g., "migrate table drop column backup first" — order unclear without articles/conjunctions)
User asks to clarify or repeats question
Resume caveman after clear part done.
Example — destructive op:
Warning: This will permanently delete all rows in the users table and cannot be undone.
sql
DROP TABLE users;
Caveman resume. Verify backup exist first.
Boundaries
Code/commits/PRs: write normal. "stop caveman" or "normal mode": revert. Mode persist until changed or session end.
Caveman next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
Turns a Caveman report-only optimization observation into one minimal code change and a paired baseline evaluation, after the operator picks which to pursue.
Interview the user relentlessly about a plan or design until every branch of the decision tree is resolved, then feed the conclusions into the issue plan.
Plan a larger change as a staged epic: draft epic<Nplan.md with stages of manageable issue specs, then publish confirmed stages as GitHub issues.
110 GitHub stars~3.3k tokensUpdated 2 days ago
Auto-check passed
Questions about Caveman
What does Caveman do?
Respond in a terse "smart caveman" style that keeps all technical substance but drops filler, articles, and pleasantries. Caveman is an agent skill from jepegit/cellpy. Respond in a terse "smart caveman" style that keeps all technical substance but drops filler, articles, and pleasantries.
When should I use Caveman?
Caveman fits situations like: the user asks for caveman mode; token-greedy / terse answers; says be brief / stop wasting tokens.
How do I install Caveman in Claude Code?
Run `npx skills add jepegit/cellpy --skill caveman -a claude-code`. Or copy the skill folder (.cursor/skills/caveman in jepegit/cellpy) into .claude/skills/caveman in your project. Claude Code loads it when a task matches its description.
How do I install Caveman in Codex?
Run `npx skills add jepegit/cellpy --skill caveman -a codex`. Or copy the skill folder (.cursor/skills/caveman in jepegit/cellpy) into .agents/skills/caveman in your project. Codex loads it when a task matches its description.
Can I use Caveman in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jepegit/cellpy --skill caveman -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/caveman, .gemini/skills/caveman, .github/skills/caveman and .opencode/skills/caveman in your project.
What does Caveman need to run?
SKILL.md names no scripts, command-line tools or credentials: Caveman is instructions for the agent only.
Does Caveman access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Caveman safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Caveman use?
Caveman is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Caveman use?
About 725 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Caveman?
Skills that share tags, products or a category with Caveman: Caveman Mode (JuliusBrussee/caveman, 110k stars), Smart Contract Formal Verification (sickn33/agentic-awesome-skills, 47k stars), Smart Contract Upgrade Governance (sickn33/agentic-awesome-skills, 47k stars) and Caveman Experiment Manager (JuliusBrussee/caveman, 110k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Caveman?
jepegit (a GitHub user) maintains it in jepegit/cellpy, which has 110 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 6, 2026.
Source: jepegit/cellpy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
