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-conclusiongit 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-conclusion)<a href="https://agentmods.dev/skills/aidvizhhub/caveman-dvizh-skills/caveman-conclusion"><img src="https://agentmods.dev/badge/skills/aidvizhhub/caveman-dvizh-skills/caveman-conclusion/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-conclusion"><img src="https://agentmods.dev/badge/skills/aidvizhhub/caveman-dvizh-skills/caveman-conclusion.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 | $0.00214 | $0.01379 |
| Opus 5 | $0.00107 | $0.00690 |
| Sonnet 5 | $0.00043 | $0.00276 |
| Haiku 4.5 | $0.00021 | $0.00138 |
Grade A, and why
caveman-conclusion 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
caveman-conclusion (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. 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: не доводи до переспроса (закон 34, авг 2026) — РЕШЕНО ✅
Канон (42 источника, кауфми 24 авг 2026: givainc «20 стратегий проактивного сервиса» — Predictive FAQs: отвечай ДО вопроса; Zendesk/vcita — anticipate needs before they ask, профилактика вместо тушения пожаров; repstack/ workwithconnect/wikiHow — «I see what you need before you have to ask», предвидь невысказанное; resumly conclusion structure — Summarized Insight + Evidence Cue + Action Prompt; USC (originality.ai) — вывод отвечает на вопрос «So what?»; hyperwrite/creaitor — вывод = суть + значимость; intelligencestrategy — критерии качественного ответа: структура; Springer trust in AI — доверие = понятность и предсказуемость; anticipatory UX (NN/g, timgraf, uxdictionary, developers-heaven) — предсказуемое предвосхищение нужд):
Смысл: юзер не должен переспрашивать. Агент подумал за человека раньше: сначала дал ответ, в конце — вывод-вердикт, и закрыл 1-2 вопроса, которые наверняка возникнут. Юзер читает один раз — и всё понял.
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 · 85 lines · 214 tokens per session scan A 89bc2d7952c8
caveman-conclusion is a skill published in the GitHub repository aidvizhhub/caveman-dvizh-skills (6 stars, last pushed 18d ago), licensed MIT. It adds 214 tokens to every session and 1,379 once invoked, about $0.0011 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.
Other skills, from other repositories
round-the-world
Round-the-world, Circle Pacific, and distance-based award products across alliances. Covers Star Alliance RTW, oneworld Explorer, Lufthansa M&M, Qantas, Cathay, JAL, Aeroplan, and Iberia charts.
scandinavia-transit
Search trains, buses, and ferries in Norway (Entur), Sweden (ResRobot), and Denmark (Rejseplanen). Intra-Scandinavia ground transport with schedules and Danish fare pricing.
seats-aero
Search award flight availability across 27 mileage programs via Seats.aero Partner API. Find cheapest award flights, compare programs, and get booking links.
bilt
Search Bilt Rewards travel portal for cash and Bilt Points pricing on hotels and flights. Public REST API, no auth required. Includes Home Away From Home (HaFH) properties with $300+ benefits.
southwest
Search Southwest Airlines fares and points pricing via Patchright browser automation. SW is not in any GDS or API. Covers all fare classes, Companion Pass value, and fare drop monitoring.
status-match
Status match and status challenge rules for airlines and hotels. Covers free direct matches, paid concierge via statusmatch.com with fees, card-granted status, and critical lifetime/once-per-N-years restrictions that make wasted matches expensive.