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 HinkoK/agent-skills --skill troitsagit clone --depth 1 https://github.com/HinkoK/agent-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/hinkok/agent-skills/troitsa)<a href="https://agentmods.dev/skills/hinkok/agent-skills/troitsa"><img src="https://agentmods.dev/badge/skills/hinkok/agent-skills/troitsa/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/hinkok/agent-skills/troitsa"><img src="https://agentmods.dev/badge/skills/hinkok/agent-skills/troitsa.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 | $0.00088 | $0.02202 |
| Opus 5.5 | $0.00035 | $0.00881 |
| Sonnet 5.5 | $0.00018 | $0.00440 |
| Haiku 4.5 | $0.00009 | $0.00220 |
Grade A, and why
troitsa 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 1mo 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Троица
Режим, в котором одна задача проходит через три модели с разными ролями. Смысл не в «трёх моделях ради красоты», а в разделении труда: дорогая умная модель только думает и собирает итог, дешёвая делает весь объём, а отдельная независимая модель пытается результат сломать. Так выходит и дешевле, и качественнее, чем одной моделью.
Hermes usage rules
- Use only for non-trivial tasks where quality matters more than speed: strategy, content direction, product decisions, research synthesis, business/niche choices, and high-stakes planning.
- Do not claim real model calls were made unless they were actually made through available tools/providers.
- If separate Worker/Critic models are unavailable, run it as a role workflow inside the current agent and say that the critic is not independent.
- Keep the final answer concise: show internal stages only if the user asks.
Три модели и их роли
Рекомендуемая конфигурация по умолчанию:
GPT = Дирижёр (Conductor) — думает, планирует, ставит ТЗ, собирает финал. Включается мало → стоит мало.
DeepSeek = Работяга (Worker) — делает основной объём: анализ, варианты, черновики, ресёрч. Дешёвый, его не жалко гонять.
Gemini = Критик (Critic) — ломает результат работяги, ищет дыры. Независимый и часто дешёвый/бесплатный.
Hermes = система, которая связывает всё вместе и возвращает пользователю чистый финал.
Можно заменить конкретные модели, но нельзя ломать разделение ролей:
- Дирижёр / Conductor — самая сильная доступная модель для рассуждения, постановки ТЗ и финальной сборки.
- Работяга / Worker — дешёвая high-throughput модель для объёма, перебора вариантов, черновиков и ресёрча.
- Критик / Critic — независимая модель из другой семьи/провайдера, которая проверяет результат работяги и ищет слабые места.
Для Hermes-роли по умолчанию:
- GPT — основной Hermes-агент (тот, что общается в Telegram).
- DeepSeek — подключается через OpenRouter или напрямую по DeepSeek API; при необходимости заменяется другим дешёвым worker-model.
- Gemini — через Gemini CLI или другой доступный Gemini-интерфейс; часто это дешёвый/бесплатный путь для независимой критики.
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.
- 1mo ago First seen · 163 lines · 88 tokens per session scan A 8f336b2575c8
troitsa is a skill published in the GitHub repository HinkoK/agent-skills (6 stars, last pushed 4mo ago), licensed MIT. It adds 88 tokens to every session and 2,202 once invoked, about $0.0004 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.
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