jor-mcp: Instructions file for Codex

AGENTS.md

jor-mcp AGENTS.md is an instructions file for Codex, OpenCode from ambiental-media/jor-mcp. It costs 2,515 tokens per session, scanned A, original, Apache-2.0.

A project guide for an MCP server, a program that lets AI assistants call tools, which searches journalism content in WordPress and GitHub. It documents the Python project’s standards, structure, dependencies, and required checks.

In plain words
What is it for?
Use it when modifying the server, managing dependencies with uv, or following its typing, formatting, linting, and documentation rules.
Why use it?
It tells coding agents which files and development practices to follow, helping prevent inconsistent code or failed checks.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is ambiental-media/jor-mcp's own configuration. It tells Codex and OpenCode how to work on jor-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 jor-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ambiental-media/jor-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/ambiental-media/jor-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/ambiental-media/jor-mcp

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 jor-mcp AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ambiental-media/jor-mcp/agents-md/github.svg)](https://agentmods.dev/instructions/ambiental-media/jor-mcp/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/ambiental-media/jor-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ambiental-media/jor-mcp/agents-md/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.

agentmods 80×15 button for jor-mcp AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/ambiental-media/jor-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ambiental-media/jor-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,515 This file is loaded in full into every session.
When invoked 2,515 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.02515 $0.02515
Opus 5 $0.01257 $0.01257
Sonnet 5 $0.00503 $0.00503
Haiku 4.5 $0.00251 $0.00251

Measured 9d ago against content hash 4e0efbf90e17, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

jor-mcp AGENTS.md 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 9d 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

- **Subprocesses:** Never use `os.system` or `subprocess.run(..., shell=True)` with unvalidated input to prevent shell injection vulnerabilities.
AGENTS.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agent Instructions for jor-mcp

Welcome, AI Agent. This AGENTS.md file defines the standard operating procedures, commands, and code style guidelines for the jor-mcp project. You must strictly adhere to these instructions to ensure high-quality, safe, and consistent contributions to this repository.

Project Context

  • Name: jor-mcp
  • Purpose: A Model Context Protocol (MCP) server for Ambiental Media, searching journalism content across WordPress and GitHub.
  • Language: Python >= 3.12
  • Core Libraries: fastmcp, uvicorn, httpx (async), pyjwt, opentelemetry
  • Dependency Manager: uv

Prerequisite: Development Standards

Before making any changes, you must read and adhere to the rules defined in CONTRIBUTING.md. This includes:

  • Language Constraint: All technical communication (commit messages, PR descriptions, code comments, variable names, and documentation) MUST be in English. (The only exception is the @mcp.tool() description parameter, which must remain in Portuguese).
  • Using uv for all dependency management and task execution.
  • Enforcing strict typing, linting (ruff), and formatting.
  • Ensuring all new code maintains the 90% test coverage minimum.
  • Validation: After writing or modifying code, use the make check command to run all linters, formatters, type checkers, and tests at once. Do not propose a Pull Request or consider a task finished until make check passes completely.
  • Documentation Sync: For every proposed change, you MUST review and update the docs/ directory to ensure it accurately reflects the new code, new environment variables, or new architecture. Never submit code changes without checking if the technical, deployment, or usage documentation needs updating.

Code Style, Conventions & Python Best Practices

AI Agents operating in this repository must strictly adhere to the following community best practices and modern Python 3.12+ paradigms.

1. File Structure, Imports & Project Layout

  • PEP 8: Style Guide for Python Code (The foundational aesthetic standard).
  • PEP 20: The Zen of Python (Guiding philosophy for clean code).
  • PEP 695: Type Parameter Syntax (Modern 3.12+ generics and type aliases).
  • The "Src Layout": All source code must reside in src/. This forces tests to run against the installed package rather than the local folder, preventing accidental import leaks.
  • Absolute Imports: Always use absolute imports anchored at src. Do not use relative imports (like from .config import ...).
    • Good: from src.config import GITHUB_TOKEN
    • Bad: from .config import GITHUB_TOKEN
  • Import Ordering: Imports must be grouped and sorted. Run uv run ruff check . --fix to organize them automatically after writing code.
  • Dependency Management: Use uv as the single source of truth for dependency management.
  • Tooling: Use Ruff for all linting and formatting (rules: E, F, I, UP, S, B), replacing Flake8, Isort, and Black.

Read the full file on GitHub · 126 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. 9d ago First seen · 126 lines · 2,515 tokens per session scan A 4e0efbf90e17

Subscribe to this mod's changes

jor-mcp AGENTS.md is an instructions file published in the GitHub repository ambiental-media/jor-mcp (4 stars, last pushed 9d ago), licensed Apache-2.0. It adds 2,515 tokens to every session, about $0.0126 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 3,735 tokens