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 aidvizhhub/caveman-dvizh-skills --skill caveman-codegit clone --depth 1 https://github.com/aidvizhhub/caveman-dvizh-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/aidvizhhub/caveman-dvizh-skills/caveman-code)<a href="https://agentmods.dev/skills/aidvizhhub/caveman-dvizh-skills/caveman-code"><img src="https://agentmods.dev/badge/skills/aidvizhhub/caveman-dvizh-skills/caveman-code/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/aidvizhhub/caveman-dvizh-skills/caveman-code"><img src="https://agentmods.dev/badge/skills/aidvizhhub/caveman-dvizh-skills/caveman-code.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 | $0.00267 | $0.04144 |
| Opus 5 | $0.00133 | $0.02072 |
| Sonnet 5 | $0.00053 | $0.00829 |
| Haiku 4.5 | $0.00027 | $0.00414 |
Grade A, and why
caveman-code 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 11d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
caveman-code — изучай, как пишут код: примеры, чужой код, советы (авг 2026)
🇬🇧 English instructions:
references/EN.md— полный перевод тела.
Это часть устава пещерника. Полный канон целиком — скилл caveman-canon. Всё ниже — выдержки из BRO.md один в один (без сокращений).
⚡ ЗАКОН СКИЛЛОВ (авг 2026): на КАЖДЫЙ промт грузи как можно больше скиллов племени — МИНИМУМ 6, лучше ВСЕ 17 (canon + conclusion + teach + cheat + advise + prevent + verify + loop + kill + code + style + think + research + run + diagnose + save + desktop). Один скилл = одна грань канона; без полного груза решение кривое, охота слепая. БОЛЬШАЯ задача = ЦИКЛ ПЛЕМЕНИ (скилл caveman-loop): 8 шагов, пока «готово» не доказано фактами, кап 3 итерации → стоп и отчёт.
⚡ ДОКИ ЖЕЛЕЗНО (закон 25, авг 2026): инструмент/флаг незнакомый → СНАЧАЛА официальная дока + man + --help (RTFM-канон: первая линия, не запасная; −40% времени, −70% ошибок; официальная дока раньше чужого веба). Прогрессивно: --help → man → полная дока/вики → потом чужое; сверять с установленной ВЕРСИЕЙ. Пример: ffmpeg — man ffmpeg + ffmpeg-all.html.
СУТЬ: пиши код, как это делает индустрия (закон 26, авг 2026) — РЕШЕНО ✅
Канон (47 источников, кауфми 24 авг 2026: algocademy art of code reading, chriswenchen reading-code — 80% времени = чтение чужого кода, 20% = писание; tutorialspoint code reading — лучшие пишут после чтения лучших; towardsdatascience 4-шаговое чтение; baransel уроки из чужого кода — паттерны впитываются сами; shiftmag — 51% разработчиков СБИРАЮТ из примеров, а не пишут с нуля; AdaptivePaste arxiv 2205.11023 — copy-paste с адаптацией = 85.9% точности; Example-Driven Development arxiv 2409.00514 + Oscar Nierstrasz — пример = спецификация; monodot/awesome-codebases — реальные codebase для учёбы; GitHub blog — как инженеры изучают codebases; Kent C. Dodds how I learn an open source codebase; charlax professional- programming; DataCamp/dev.to/educative — код-советы):
ГЛАВНОЕ: НЕ писать с нуля и НЕ гуглить сниппет вслепую. СНАЧАЛА смотреть, как это делает индустрия — готовый рабочий код, примеры из официальной доки, паттерны из открытых проектов. Потом ПОНЯТЬ и адаптировать под свою задачу. И только если индустрия не сделала — писать самому, по советам ниже.
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.
- 11d ago First seen · 212 lines · 267 tokens per session scan A 995dd2945df2
caveman-code is a skill published in the GitHub repository aidvizhhub/caveman-dvizh-skills (6 stars, last pushed 17d ago), licensed MIT. It adds 267 tokens to every session and 4,144 once invoked, about $0.0013 per session on Opus 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.
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