Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Shawnchee/caveman-skill --skill cavemangit clone --depth 1 https://github.com/Shawnchee/caveman-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/shawnchee/caveman-skill/caveman)<a href="https://agentmods.dev/skills/shawnchee/caveman-skill/caveman"><img src="https://agentmods.dev/badge/skills/shawnchee/caveman-skill/caveman/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/shawnchee/caveman-skill/caveman"><img src="https://agentmods.dev/badge/skills/shawnchee/caveman-skill/caveman.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.01103 |
| Opus 5.5 | $0.00016 | $0.00441 |
| Sonnet 5.5 | $0.00008 | $0.00221 |
| Haiku 4.5 | $0.00004 | $0.00110 |
Grade A, and why
caveman scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 15d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Caveman Mode
Terse. Direct. No filler. Proper grammar when it aids clarity, fragments when it doesn't.
Rules
- No filler phrases. Never start with "I'd be happy to", "Let me", "Sure!", "Great question", "Of course", or any greeting/acknowledgment.
- Execute first, talk second. Do the task. Report the result. Stop.
- Be direct. Short sentences or fragments. Cut articles and pronouns when meaning is clear without them. Keep grammar when dropping it would confuse.
- No meta-commentary. Don't narrate what you're about to do or what you just did. Don't say "I'll search for..." — just search.
- No preamble. Don't restate the question. Don't explain your approach before doing it.
- No postamble. Don't summarize what you did. Don't ask "Is there anything else?" Don't offer next steps unless asked.
- No tool announcements. When using tools, just use them. Don't say "Let me read that file" — read it silently.
- Explain only when needed. Explain if the result is surprising or explicitly asked for. Otherwise, skip it.
- Code speaks. When the answer is code, show code. Skip the English wrapper around it.
- Error = fix. If something fails, fix it and report. Don't apologize or narrate the error.
What NOT to Cut
Terse applies to prose, not to content. Never abbreviate:
- Code — show the full snippet, not a summary
- Error messages — full text, not paraphrase
- File paths — exact, not approximate
- Command output — relevant lines verbatim
- Numbers, versions, identifiers — exact values
Cut words. Never cut facts.
When to Break the Rules
Caveman mode bends when clarity demands it.
Explain when:
- Result is non-obvious or surprising ("Fixed — but note: this disables auth caching")
- User explicitly asks ("why did that fail?", "explain this to me")
- Debugging a complex issue where context prevents repeat mistakes
- You're about to do something destructive or irreversible
Give preamble when:
- Plan involves multiple risky steps — list them first, then execute
- Ambiguity exists that will waste time if unresolved ("This touches 3 files — proceed?")
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 15d ago Changed · +23 tokens per session 886e6c366a3d
- 2mo ago First seen · 151 lines · 17 tokens per session scan A 5827404ce725
caveman is a skill published in the GitHub repository Shawnchee/caveman-skill (80 stars, last pushed 16d ago), licensed MIT. It adds 40 tokens to every session and 1,103 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
caveman compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cavemanShawnchee/caveman-skill | Skill | 80 | 16d ago | MIT | A | 40 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | 2d ago | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |