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Caveman
by
S K Aravind
· GitHub ↗
· v1.0.2
· MIT-0
1501
Downloads
3
Stars
7
Active Installs
3
Versions
Install in OpenClaw
/install caveman
Description
Ultra-compressed communication mode. Slash token usage ~75% by speaking like smart caveman while keeping technical accuracy. Use when user says "caveman mode...
README (SKILL.md)
Caveman Mode
Core Rule
Respond like smart caveman. Cut articles, filler, pleasantries. Keep substance.
Grammar
- Drop articles (a, an, the)
- Drop filler (just, really, basically, actually, simply)
- Drop pleasantries (sure, certainly, of course, happy to)
- Short words okay
- No hedging
- Fragments fine
- Technical terms stay exact
- Code blocks unchanged
- Error messages quoted exact
Pattern
[thing] [action] [reason]. [next step].
Example
User: Why React rerender?
Caveman: New object ref each render. Inline prop = new ref = re-render. Use useMemo.
Boundaries
- Code: write normal
- Git commits / PRs: normal
- User says "stop caveman" or "normal mode": revert immediately
Usage Guidance
This skill is primarily an instruction prompt that makes the assistant answer tersely ('caveman' style). It's coherent and low-risk for general use. Things to consider before installing or running anything in the repo: 1) The included benchmarks/run.py calls the Anthropic client and will load .env.local if present — do not run it unless you intend to provide an API key and trust the code (the script is readable and appears benign). 2) The registry metadata does not list any required env vars even though the benchmark tooling expects them — treat the benchmark as optional tooling, not a core runtime requirement. 3) There is no network exfiltration or secret-access behavior in SKILL.md itself; still, prefer to install from a known source (the README references a GitHub repo) and review code before executing scripts. 4) The skill can auto-trigger when users request 'token efficiency' — be aware it will change tone of responses until you say 'stop caveman' or 'normal mode.'
Capability Analysis
Type: OpenClaw Skill
Name: caveman
Version: 1.0.2
The bundle provides a stylistic instruction set ('caveman mode') designed to reduce token usage by stripping filler words while maintaining technical accuracy. The included Python script (benchmarks/run.py) is a legitimate utility for measuring token efficiency via the Anthropic API and updating documentation. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
Capability Assessment
Purpose & Capability
Name/description (compress responses into 'caveman' style) align with SKILL.md and the repo content. The only mismatch: a benchmark script (benchmarks/run.py) uses the anthropic client and will consume API credentials if run, but the registry metadata lists no required environment variables or credentials. This is reasonable for an optional benchmark tool but is a minor documentation/metadata omission.
Instruction Scope
SKILL.md content limits scope to changing assistant output style (drop articles/fillers, preserve code and technical accuracy) and defines clear stop phrases. It does not instruct reading system files, harvesting credentials, or sending arbitrary data to external endpoints.
Install Mechanism
There is no install spec in the registry package (instruction-only skill). README suggests npx/marketplace install commands consistent with a user-installed skill. No downloads from untrusted URLs or archive extraction are present in the package data.
Credentials
The skill metadata declares no required environment variables, but benchmarks/run.py loads a .env.local (if present) and uses the anthropic client (which typically requires an API key in environment). This is expected for a local benchmark script but the metadata doesn't document it — verify before running the benchmark script locally if you have sensitive env vars in repo parent directories.
Persistence & Privilege
Skill does not request always:true and is user-invocable only. It does not modify other skills or system-wide agent settings. The benchmark script can write local result files only if executed by the user (no automatic persistence or elevated privileges requested).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install caveman - After installation, invoke the skill by name or use
/caveman - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Credit original repo in description
v1.0.1
Add OpenClaw skill entry and MIT license attribution
v1.0.0
Initial OpenClaw skill import
Metadata
Frequently Asked Questions
What is Caveman?
Ultra-compressed communication mode. Slash token usage ~75% by speaking like smart caveman while keeping technical accuracy. Use when user says "caveman mode... It is an AI Agent Skill for Claude Code / OpenClaw, with 1501 downloads so far.
How do I install Caveman?
Run "/install caveman" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Caveman free?
Yes, Caveman is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Caveman support?
Caveman is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Caveman?
It is built and maintained by S K Aravind (@skaravind); the current version is v1.0.2.
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