ai-producer-hub: Instructions file for Codex

AGENTS.md

ai-producer-hub AGENTS.md is an instructions file for Codex, OpenCode from sandraschi/ai-producer-hub. It costs 40 tokens per session, scanned A, original, MIT.

Repository instructions for ai-producer-hub, including agent context, a Fleet MCP server reference, and a quick testing command. An MCP server connects an agent to external tools or services.

In plain words
What is it for?
Use them when working in the ai-producer-hub repository, especially when checking its context or running its Python tests.
Why use it?
They give an agent project-specific context and a stated way to run the test suite. The input does not describe broader project behavior.

Instructions file for CodexOpenCode

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

This is sandraschi/ai-producer-hub's own configuration. It tells Codex and OpenCode how to work on ai-producer-hub 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 ai-producer-hub configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sandraschi/ai-producer-hub. 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/sandraschi/ai-producer-hub/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/sandraschi/ai-producer-hub

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 ai-producer-hub AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/sandraschi/ai-producer-hub/agents-md/github.svg)](https://agentmods.dev/instructions/sandraschi/ai-producer-hub/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/sandraschi/ai-producer-hub/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/ai-producer-hub/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 ai-producer-hub AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/sandraschi/ai-producer-hub/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/ai-producer-hub/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 This file is loaded in full into every session.
When invoked 40 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 $0.00040 $0.00040
Opus 5.5 $0.00016 $0.00016
Sonnet 5.5 $0.00008 $0.00008
Haiku 4.5 $0.00004 $0.00004

Measured 2mo ago against content hash cf7c2c705a07, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-producer-hub 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 · 10 lines

What it actually says

ai-producer-hub Agent Context

Fleet MCP server. See justfile for available recipes.

Quick Ref

uv run pytest tests/ -q
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 · 10 lines · 40 tokens per session scan A cf7c2c705a07

Subscribe to this mod's changes

ai-producer-hub AGENTS.md is an instructions file published in the GitHub repository sandraschi/ai-producer-hub (5 stars, last pushed 14d ago), licensed MIT. It adds 40 tokens to every session, about $0.0002 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.

Related

ai-producer-hub AGENTS.md compared with instructions from other repositories

ai-producer-hub AGENTS.md next to 6 instructions from other repositories
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ai-producer-hub AGENTS.mdsandraschi/ai-producer-hubInstructions file514d agoMITA40Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode