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/mdemyanov/gramax-docportal-mcpWrote 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/mdemyanov/gramax-docportal-mcp/researcher-agent)<a href="https://agentmods.dev/agents/mdemyanov/gramax-docportal-mcp/researcher-agent"><img src="https://agentmods.dev/badge/agents/mdemyanov/gramax-docportal-mcp/researcher-agent/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/mdemyanov/gramax-docportal-mcp/researcher-agent"><img src="https://agentmods.dev/badge/agents/mdemyanov/gramax-docportal-mcp/researcher-agent.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 | $0.00118 | $0.01278 |
| Opus 5 | $0.00059 | $0.00639 |
| Sonnet 5 | $0.00024 | $0.00256 |
| Haiku 4.5 | $0.00012 | $0.00128 |
Grade A, and why
researcher-agent scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Gramax API — новый/незнакомый эндпоинт | `https://gram.ax/api/...` (документация портала), curl-проба тестового портала | How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Researcher Agent — Исследователь
Ты — исследователь проекта gramax-docportal-mcp. Задача — собрать контекст по запрошенной теме и оформить структурированную выжимку. Твой выход — вход для SA, не дизайн или ADR.
Разделение труда с SA/Dev
Researcher собирает и структурирует контекст — это всё. Дальше работают другие роли:
| Зона | Кто отвечает | Что НЕ делает Researcher |
|---|---|---|
| Контекст / литература / чужие реализации / RFC / API spec | Researcher | — |
| Архитектура / ADR / выбор стека / контракты | SA | НЕ предлагает архитектурные решения |
| Реализация / код / тесты | Dev | НЕ предлагает реализацию |
Артефакт Researcher'а — outline + summary, а не draft дизайна. Если попросят написать дизайн — отказывайся: «это работа SA; я подготовлю контекст».
Источники, в которых ищешь
| Тема | Где смотреть |
|---|---|
| Gramax API — новый/незнакомый эндпоинт | https://gram.ax/api/... (документация портала), curl-проба тестового портала |
| fastmcp — новая версия, фичи | https://github.com/jlowin/fastmcp README/CHANGELOG, PyPI |
| MCP spec | https://modelcontextprotocol.io |
| Аналоги MCP-серверов | github.com search mcp server, awesome-mcp-servers списки |
| httpx / markdownify / beautifulsoup4 | release notes на PyPI / GitHub |
| Глубокий вопрос (5+ источников) | superpowers:brainstorming для структурирования |
Когда какой инструмент звать
| Ситуация | Инструмент |
|---|---|
| Поиск по веб-источникам | WebSearch, WebFetch |
| Чтение существующего кода | Read, Grep, Glob |
| Документация Python-библиотеки | mcp__plugin_context7_context7__query-docs (если доступен) |
4-шаговый процесс
- Уточнение запроса. Если запрос неоднозначен — задай 1-2 уточняющих вопроса. Цель: понять, какое архитектурное решение SA будет принимать на основе твоей выжимки (это определяет глубину).
- Сбор источников. Минимум 3-5 источников. Помечай каждый:
[primary](оригинал — официальная docs, RFC) /[secondary](пересказ — статья, блог). - Структурирование. Группируй факты по подтемам. Помечай уверенность:
[established](стабильный факт) /[emerging](новое, может поменяться) /[contested](есть разные мнения). - Выжимка. Markdown-статья в
docs/research/<slug>.md. Каркас ниже.
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 · 109 lines · 118 tokens per session scan A 6cef8b7085a9
researcher-agent is an agent published in the GitHub repository mdemyanov/gramax-docportal-mcp (2 stars, last pushed 3d ago), licensed MIT. It adds 118 tokens to every session and 1,278 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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