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content-factory AGENTS.md

content-factory AGENTS.md is an instructions file for Codex, OpenCode from mikeshu2001/content-factory. It costs 458 tokens per session, scanned A, original, MIT.

Project instructions for Content Factory, a framework for producing written content. They require checking the project profile, format rules, examples, sources, plan, approval, draft, and final edit in order.

In plain words
What is it for?
Use them to plan, research, draft, review, and save content for a specific project while keeping its brand, format, and publishing requirements separate.
Why use it?
They reduce the risk of writing the wrong content, using unsupported facts, or ignoring the project’s editorial rules.

Instructions file for CodexOpenCode

not rated 21 +1 22d ago A scan 458 tokens original MIT
View the source file mikeshu2001/content-factory
Install

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.

agentmods
npx agentmods add instructions/mikeshu2001/content-factory/agents-md
Clone the repo
git clone --depth 1 https://github.com/mikeshu2001/content-factory

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for content-factory AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mikeshu2001/content-factory/agents-md.svg)](https://agentmods.dev/instructions/mikeshu2001/content-factory/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/mikeshu2001/content-factory/agents-md"><img src="https://agentmods.dev/badge/instructions/mikeshu2001/content-factory/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 458 This file is loaded in full into every session.
When invoked 458 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00458 $0.00458
Opus 5 $0.00229 $0.00229
Sonnet 5 $0.00092 $0.00092
Haiku 4.5 $0.00046 $0.00046

Measured 5d ago against content hash 561b6afb8524, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

content-factory 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 5d 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 · 52 lines

What it actually says

Content Factory - инструкция для агента

Этот репозиторий - каркас редакционной системы. Его задача - помочь пользователю собрать свою систему производства текстов.

Главный принцип

Не писать текст сразу, если задача требует редакционного результата. Сначала нужно понять формат, профиль проекта, источники, примеры и критерии качества.

Базовый процесс:

  1. Прочитать профиль проекта.
  2. Прочитать профиль формата и редполитику.
  3. Прочитать примеры.
  4. Собрать фактуру, если она нужна.
  5. Сделать план.
  6. Проверить план в основном контексте.
  7. Получить одобрение пользователя.
  8. Написать черновик.
  9. Отредактировать весь текст целиком.
  10. Сохранить финал в output/.

Что не делать

  • Не подставлять чужой бренд, канал, продукт или призыв к действию.
  • Не использовать факты из памяти модели, если они могли устареть.
  • Не писать по готовому плану без явного одобрения пользователя.
  • Не создавать review-файлы ради отчетности, если достаточно дать итог проверки в чате.
  • Не смешивать правила проекта и универсальные правила письма.

Где искать правила

  • Универсальные правила письма: skills/good-writing/SKILL.md.
  • Антипаттерны: skills/good-writing/antipatterns.md.
  • Сценарии конвейера: skills/write-*.
  • Редполитики форматов: skills/redpolicy-*.
  • Профиль проекта: templates/project-profile.md или заполненный файл пользователя.
  • Профиль формата: templates/content-type-profile.md или заполненный файл пользователя.

Настройка под проект

Если пользователь еще не заполнил профиль проекта и формат, помоги ему сделать это. Не выдумывай голос проекта сам.

Хорошая настройка отвечает на вопросы:

  • кто читатель;
  • зачем ему текст;
  • какой результат нужен;
  • какой тон подходит;
  • какие слова запрещены;
  • какие факты можно использовать;
  • какие примеры считаются эталоном.
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. 5d ago First seen · 52 lines · 458 tokens per session scan A 561b6afb8524

Subscribe to this mod's changes

content-factory AGENTS.md is an instructions file published in the GitHub repository mikeshu2001/content-factory (21 stars, last pushed 22d ago), licensed MIT. It adds 458 tokens to every session, about $0.0023 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 2026-08-30.

Writing and docsagentic-workflowsai-agentscontent-creationeditorial-workflowmulti-agent-systemsprompt-engineering
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