mskills: Instructions file for Codex

AGENTS.md

mskills AGENTS.md is an instructions file for Codex, OpenCode from yurakawa/mskills. It costs 718 tokens per session, scanned A, original, MIT.

Repository instructions for mskills, a command-line tool that manages reusable instructions for different AI coding agents.

In plain words
What is it for?
Use them when developing or maintaining the mskills TypeScript command-line tool and its agent-skill configuration.
Why use it?
They explain how the project is organized and prevent agents from putting planning documents in the wrong place.

Instructions file for CodexOpenCode

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

This is yurakawa/mskills's own configuration. It tells Codex and OpenCode how to work on mskills 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 mskills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to yurakawa/mskills. 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/yurakawa/mskills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/yurakawa/mskills

Made for: Codex, OpenCode.

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Per session 718 This file is loaded in full into every session.
When invoked 718 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 $0.00718 $0.00718
Opus 5.5 $0.00287 $0.00287
Sonnet 5.5 $0.00144 $0.00144
Haiku 4.5 $0.00072 $0.00072

Measured 1mo ago against content hash 5aa49b863a36, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mskills 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 · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file contains guidelines and best practices for AI agents (like Claude, Copilot, Cursor, Antigravity, etc.) when working in this repository (mskills).

1. Project Overview

mskills is a CLI tool designed to centrally manage and apply "Agent Skills" for various AI agents. It syncs and outputs skills from local sources or GitHub to each agent's dedicated directory (e.g., ~/.claude/skills or ~/.gemini/antigravity/skills).

2. Core Instructions for Agents

When interacting with the user or modifying source code, you must strictly follow these rules:

  • Handling Simple Tasks: For simple questions or tasks that do not involve significant code changes or the implementation of new features, do not generate planning documents like task.md, implementation_plan.md, or walkthrough.md (unless explicitly permitted).
  • Documentation Storage: If you need to generate documentation (like an implementation plan), always create a folder named docs/[topic_name_in_snake_case]/ and save it there.

3. Technology Stack

  • Language & Module System: TypeScript (ESM, targeting Node.js 18+, type: "module")
  • CLI Framework: Commander.js
  • Schema Validation: Zod
  • Package Manager: npm
  • Testing Framework: Vitest
  • Release Management: Changesets

4. Project Structure and Architecture

  • src/commands/: Implementation layer for CLI commands (e.g., add.ts, apply.ts, prompt.ts, export.ts)
  • src/config/: Configuration file (~/.config/mskills/config.json) reading, writing, and path resolution logic
  • src/skills/: Parsing and downloading logic for skill sources (GitHub repositories, local paths)
  • src/agents/: Coordination logic for applying skills to AI agents (using copies or symlinks)
  • src/utils/: Common utility functions
  • .agent/workflows/ and .agent/skills/: Custom skills and workflow definitions for agents to execute autonomously

5. Development and Implementation Best Practices

  • Functional Approach: To make the code predictable and testable, separate pure functions from side effects (like file system changes) as much as possible. (Example: use functions instead of constants for path resolution in src/config).
  • Error Handling: Use try-catch appropriately. In case of anomalies, output clear and user-friendly messages (using tools like chalk).
  • Terminal UI: Display a spinner using ora for time-consuming operations (like downloading from Git).
  • Test-Driven Development: When adding or modifying logic, update or create corresponding tests in the same directory (*.test.ts) and run npm run test to ensure coverage and expected behavior. Use appropriate mocking or temporary directories for tests involving file I/O.
  • Cross-Platform Compatibility: Use standard Node.js functions like path.join for path resolution to properly handle OS-dependent path separators.

Read the full file on GitHub · 41 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. 1mo ago First seen · 41 lines · 718 tokens per session scan A 5aa49b863a36

Subscribe to this mod's changes

mskills AGENTS.md is an instructions file published in the GitHub repository yurakawa/mskills (3 stars, last pushed 6mo ago), licensed MIT. It adds 718 tokens to every session, about $0.0029 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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