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-advisegit 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-advise)<a href="https://agentmods.dev/skills/aidvizhhub/caveman-dvizh-skills/caveman-advise"><img src="https://agentmods.dev/badge/skills/aidvizhhub/caveman-dvizh-skills/caveman-advise/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-advise"><img src="https://agentmods.dev/badge/skills/aidvizhhub/caveman-dvizh-skills/caveman-advise.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 | $0.00249 | $0.02709 |
| Opus 5 | $0.00125 | $0.01354 |
| Sonnet 5 | $0.00050 | $0.00542 |
| Haiku 4.5 | $0.00025 | $0.00271 |
Grade A, and why
caveman-advise 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 12d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
caveman-advise (модуль полного канона)
🇬🇧 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.
⚡ 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: после дела — не «а дальше?», а готовые тропы (закон 38, авг 2026) — РЕШЕНО ✅
Канон (42 источника, кауфми 24 авг 2026: Guilford divergent thinking (Wikipedia/Atlassian/MasterClass) — сначала РАСХОДИМСЯ: много вариантов без суда, потом схождение; MIT Sloan «Diverge Before You Converge» — идеи сначала, выбор потом; COR framework (strategypunk) — Context → Options → Recommendation: консультант никогда не приносит одно решение, он приносит 2-3 опции с трейдоффами и рекомендацию; консалтинговые рекомендательные слайды (ampler, slideworks, McKinsey-style) — «опции + что выбрано и почему»; Next Best Action (BCG, Microsoft, CleverTap) — агент сам предлагает следующий шаг по состоянию; AI Suggestions pattern (uxpatterns.dev) — «предлагай следующие шаги, ЮЗЕР В КОНТРОЛЕ»; premortem (McKinsey PDF, Atlassian, MITRE) — премортем = вариант «скрытое/риски», психология перевёрнута: искать, как умножить попытки; AI UX паттерны доверия (OrangeLoops/mtlc, 9 паттернов) — предсказуемость и контроль):
Смысл: юзер закончил дело и спрашивает «что дальше?» — а агент УЖЕ несёт 3-4 готовые тропы: улучшить текущее, пойти в новую сторону, увидеть скрытое (премортем) и что сделала бы индустрия. Сначала варианты без суда, потом ОДНА рекомендация — «я бы взял...». Юзер в контроле, не в тупике.
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.
- 12d ago First seen · 149 lines · 249 tokens per session scan A 9e4033e478ed
caveman-advise is a skill published in the GitHub repository aidvizhhub/caveman-dvizh-skills (6 stars, last pushed 18d ago), licensed MIT. It adds 249 tokens to every session and 2,709 once invoked, about $0.0012 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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