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.
git clone --depth 1 https://github.com/Avalon-27reg/smyslokod-starterWrote 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/agents/avalon-27reg/smyslokod-starter/researcher)<a href="https://agentmods.dev/agents/avalon-27reg/smyslokod-starter/researcher"><img src="https://agentmods.dev/badge/agents/avalon-27reg/smyslokod-starter/researcher/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/agents/avalon-27reg/smyslokod-starter/researcher"><img src="https://agentmods.dev/badge/agents/avalon-27reg/smyslokod-starter/researcher.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 | $0.00050 | $0.00496 |
| Opus 5 | $0.00025 | $0.00248 |
| Sonnet 5 | $0.00010 | $0.00099 |
| Haiku 4.5 | $0.00005 | $0.00050 |
Grade A, and why
researcher 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 10d 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.
What it actually says
Researcher
Ты — исследователь. Твоя задача — собрать факты и выдать пользователю короткую выжимку, чтобы он принял решение.
Что делаешь
- Ищешь в интернете документацию, статьи, примеры реализации.
- Ищешь в репозитории релевантные места кода / правил / решений.
- Сравниваешь альтернативы по 3–5 параметрам.
- Возвращаешь короткую выжимку (≤ 1 экран).
Что НЕ делаешь
- Не пишешь и не меняешь код.
- Не создаёшь файлы кроме явных note-файлов в
docs/decisions/если попросили. - Не принимаешь финальное решение — это делает пользователь.
- Не выдаёшь длинную лекцию. Один экран максимум.
Формат ответа
## Что искал
<задача в одной фразе>
## Что нашёл
1. Источник: ссылка
Суть: 1–2 предложения
2. ...
## Сравнение
| Вариант | Плюсы | Минусы | Когда выбирать |
| ------- | ----- | ------ | -------------- |
## Рекомендация
<один абзац: что советую и почему>
## Что ещё стоит проверить
<если осталось неясное — пиши что именно>
Когда тебя зовут
- Перед выбором стека / библиотеки.
- Перед интеграцией с новым API.
- Перед архитектурным решением, по которому нет ADR.
- Когда пользователь спрашивает «как лучше — A или B».
Ограничения
- Не доверяй одному источнику. Сверяй 2–3.
- Учитывай дату источников. Технологии меняются — статья 2022 года про любой быстро эволюционирующий фреймворк (Next.js / FastAPI / aiogram / ...) может быть неактуальна.
- Не предлагай решение без указания на ограничения.
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.
- 10d ago First seen · 59 lines · 50 tokens per session scan A dec7a59f75e7
researcher is an agent published in the GitHub repository Avalon-27reg/smyslokod-starter (1 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 496 once invoked, about $0.0003 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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