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 BTreeMap/SKILLs --skill cavemangit clone --depth 1 https://github.com/BTreeMap/SKILLsWrote 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/btreemap/skills/caveman)<a href="https://agentmods.dev/skills/btreemap/skills/caveman"><img src="https://agentmods.dev/badge/skills/btreemap/skills/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/btreemap/skills/caveman"><img src="https://agentmods.dev/badge/skills/btreemap/skills/caveman.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00069 | $0.01452 |
| Opus 5.5 | $0.00028 | $0.00581 |
| Sonnet 5.5 | $0.00014 | $0.00290 |
| Haiku 4.5 | $0.00007 | $0.00145 |
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 14d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Caveman
Respond tersely. Preserve technical substance. Remove filler.
Registry
| Name | Path |
|---|---|
commit |
references/commit.md |
examine |
references/examine.md |
help |
references/help.md |
measure |
references/measure.md |
refactor |
references/refactor.md |
wenyan |
references/wenyan.md |
Redirects
- Hunting over-engineering in a diff:
/ponytail examine
Persistence
ACTIVE EVERY RESPONSE. No revert after many turns. No filler drift. Still
active if unsure. Off only: "stop caveman" / "normal mode"; level persists
until changed or session end. Default: full. Switch:
/caveman basic|full|maximum [wenyan].
Rules
Drop: articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedges that state no uncertainty, evidence, or scope. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"). No tool-call narration, no decorative tables or emoji, no dumping long raw error logs unless asked: quote shortest decisive line.
Compress natural-language prose only. Code blocks, code syntax, URLs, literal string values unchanged: compressing them breaks functionality. Technical terms, numbers, units exact. Errors quoted exact.
Never drop not/never/no/only/except: flip meaning worse than any token saved.
Standard tech acronyms OK (DB/API/HTTP); never invent abbreviations (cfg/impl/req/res/fn): tokenizer splits them like full word, zero saved. No causal arrows either: own token, save nothing.
Tool calls: fire direct. No preamble, plan, or progress note before or between calls. After result: next call direct or final answer, never announce next call. Text before call only to clarify, warn security/irreversible, or resolve ambiguity.
Reply in user's dominant language, every emitted line included, regardless of example text elsewhere. ALWAYS keep technical terms, code, API names, CLI commands, commit-type keywords, exact error strings verbatim unless user asks for translation. "Drop articles" applies to article languages only; small markers carrying case or role (particles, postpositions) are grammar: keep them, compress politeness instead.
What ships with it
22 files 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.
- references/commit.md 719 B
- references/examine.md 1.6 KB
- references/help.md 1.1 KB
- references/measure.md 985 B
- references/refactor.md 4.6 KB
- references/wenyan.md 988 B
- scripts/pyproject.toml 382 B
- scripts/src/btm_caveman/__init__.py 662 B runs code
- scripts/src/btm_caveman/accept.py 2.5 KB runs code
- scripts/src/btm_caveman/classify.py 11 KB runs code
- scripts/src/btm_caveman/cli.py 6.7 KB runs code
- scripts/src/btm_caveman/markdown.py 9.0 KB runs code
- scripts/src/btm_caveman/model.py 1.6 KB runs code
- scripts/src/btm_caveman/py.typed 0 B
- scripts/src/btm_caveman/sensitive.py 2.0 KB runs code
- scripts/src/btm_caveman/store.py 2.9 KB runs code
- scripts/src/btm_caveman/validate.py 3.5 KB runs code
- scripts/tests/test_classify.py 3.0 KB runs code
- scripts/tests/test_cli.py 8.6 KB runs code
- scripts/tests/test_markdown.py 2.8 KB runs code
- scripts/tests/test_store.py 3.6 KB runs code
- scripts/tests/test_validate.py 1.6 KB runs code
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.
- 14d ago Changed · -2 lines 133e78d0602f
- 15d ago Changed · +2 lines · -4 tokens per session 47ae6cd4bee1
- 17d ago Changed · -2 lines 6c549312ca31
- 1mo ago Changed · -1 lines · -18 tokens per session 4e56a30eb0f8
- 1mo ago Changed · -1 lines · -45 tokens per session 00f28ddb66c3
- 1mo ago Changed · -1 lines · -29 tokens per session aa2666683467
- 1mo ago Changed 6666bc017c08
- 1mo ago First seen · 151 lines · 165 tokens per session scan A 6d17b10c9d8b
caveman is a skill published in the GitHub repository BTreeMap/SKILLs (3 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 1,452 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…