gramax-docportal-mcp: Instructions file for Codex

AGENTS.md

gramax-docportal-mcp AGENTS.md is an instructions file for Codex, OpenCode from mdemyanov/gramax-docportal-mcp. It costs 1,300 tokens per session, scanned A, original, MIT.

Team instructions for a Python MCP server whose AI agents have separate roles such as coordination, research, architecture, and test-driven development. TDD means writing tests as part of developing a change.

In plain words
What is it for?
Use them when coordinating subagents, researching Gramax or MCP behavior, designing modules, writing code, or following the project’s standard workflow.
Why use it?
They define who handles each kind of work and what information and result each delegated agent must receive and produce.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions subagents; mentions AGENTS.md.

This is mdemyanov/gramax-docportal-mcp's own configuration. It tells Codex and OpenCode how to work on gramax-docportal-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gramax-docportal-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mdemyanov/gramax-docportal-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mdemyanov/gramax-docportal-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mdemyanov/gramax-docportal-mcp

Made for: Codex, OpenCode.

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Per session 1,300 This file is loaded in full into every session.
When invoked 1,300 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01300 $0.01300
Opus 5.5 $0.00520 $0.00520
Sonnet 5.5 $0.00260 $0.00260
Haiku 4.5 $0.00130 $0.00130

Measured 2mo ago against content hash 9a764ae62d28, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gramax-docportal-mcp AGENTS.md 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 2mo 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.

AGENTS.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — gramax-docportal-mcp

Карта команды AI-агентов для развития MCP-сервера. Адаптация шаблона project_template под Python-библиотеку.

Каталог ролей

Имя Описание Где исполняется Модель Промпт
pm Координатор: декомпозиция, маршрутизация, ревью main Opus (живёт в main-context)
researcher Сбор контекста: Gramax API, fastmcp, MCP-spec, аналоги subagent Sonnet .claude/agents/researcher-agent.md
sa Архитектор: дизайн модулей, контракты, ADR subagent Sonnet .claude/agents/sa-agent.md
dev TDD-разработчик (совмещает QA-author + runner) subagent Sonnet .claude/agents/dev-agent.md

Почему так: PM-координация живёт в main-context, чтобы не раздувать контекст субагентов. Ролевая работа выносится в субагенты на более дешёвой модели — экономия LLM-бюджета. DevOps/Tech-writer/QA отдельно — не делаем; в библиотеке этого пока мало (см. секцию «Будущие итерации» в спеке).

Контракт вызова субагента

При запуске любой роли (через Task tool или @<role>-agent mention) передавай:

  1. Цель одной фразой.
  2. Входные файлы — пути к контексту (спека, ADR, код, тесты).
  3. Ожидаемый артефакт — какой файл должен появиться/измениться.
  4. Критерии приёмки — как проверить, что задача выполнена.

Пример корректного prompt'а для dev-agent:

Цель: реализовать gramax_get_attachments по спеке.
Входы:
  docs/superpowers/specs/2026-05-15-attachments-design.md,
  docs/architecture/adr/0001-attachments-tool.md,
  tests/test_attachments.py (failing stubs).
Артефакт: src/gramax_docportal_mcp/server.py (+ client.py если нужен новый эндпоинт).
Критерии: pytest зелёный, ruff/mypy чистые, AC из спеки покрыты, не сломаны существующие инструменты.

Субагент не ищет контекст «вокруг» — работает по явно переданному скопу.

(Полные prompt'ы — в .claude/agents/<role>-agent.md.)

Канонический workflow

PM (декомпозиция)
  → Researcher (если незнаком домен/API; опц.)
  → SA (спека в docs/superpowers/specs/ + ADR в docs/architecture/adr/, если значимое решение)
  → Dev (TDD: красный → зелёный → рефакторинг)
  → PM (lessons + commit/PR)

Read the full file on GitHub · 99 lines

Changes

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.

  1. 2mo ago First seen · 99 lines · 1,300 tokens per session scan A 9a764ae62d28

Subscribe to this mod's changes

gramax-docportal-mcp AGENTS.md is an instructions file published in the GitHub repository mdemyanov/gramax-docportal-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 1,300 tokens to every session, about $0.0052 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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