ML-Experiments-MCP: Instructions file for Codex

AGENTS.md

ML-Experiments-MCP AGENTS.md is an instructions file for Codex, OpenCode from NamDT-146/ML-Experiments-MCP. It costs 576 tokens per session, scanned A, original, no licence file.

Project instructions for an AI and machine-learning experiments project when a user asks to run an experiment on Kaggle, a platform for running and sharing data-science work.

In plain words
What is it for?
Use it when working on Kaggle experiments in the ML-Experiments-MCP project.
Why use it?
It supplies the project-specific rules needed for Kaggle experiment requests.

Instructions file for CodexOpenCode

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

This is NamDT-146/ML-Experiments-MCP's own configuration. It tells Codex and OpenCode how to work on ML-Experiments-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 ML-Experiments-MCP configures →

Reuse

Borrowing it

Nothing to install: this file belongs to NamDT-146/ML-Experiments-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/NamDT-146/ML-Experiments-MCP/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/NamDT-146/ML-Experiments-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 ML-Experiments-MCP AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/namdt-146/ml-experiments-mcp/agents-md/github.svg)](https://agentmods.dev/instructions/namdt-146/ml-experiments-mcp/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/namdt-146/ml-experiments-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/namdt-146/ml-experiments-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 ML-Experiments-MCP AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/namdt-146/ml-experiments-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/namdt-146/ml-experiments-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 576 This file is loaded in full into every session.
When invoked 576 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 unknown 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 $0.00576 $0.00576
Opus 5.5 $0.00230 $0.00230
Sonnet 5.5 $0.00115 $0.00115
Haiku 4.5 $0.00058 $0.00058

Measured 1mo ago against content hash be04cca81425, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ML-Experiments-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 1mo 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 · 16 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 1mo ago Changed · +5 lines · +321 tokens per session be04cca81425
  2. 2mo ago First seen · 11 lines · 255 tokens per session scan A ca31695aa838

Subscribe to this mod's changes

ML-Experiments-MCP AGENTS.md is an instructions file published in the GitHub repository NamDT-146/ML-Experiments-MCP (0 stars, last pushed 1mo ago), with no licence file. It adds 576 tokens to every session, about $0.0023 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

ML-Experiments-MCP AGENTS.md compared with instructions from other repositories

ML-Experiments-MCP AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ML-Experiments-MCP AGENTS.mdNamDT-146/ML-Experiments-MCPInstructions file01mo agononeA576Codex, 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