mcp2skill: Instructions file for Codex

AGENTS.md

mcp2skill AGENTS.md is an instructions file for Codex, OpenCode from fenwei-dev/mcp2skill. It costs 1,173 tokens per session, scanned A, original, MIT.

A repository guide for AI coding assistants working on mcp2skill, a Go command-line program that turns MCP servers into agent skills. It documents the project, code style, and build, lint, and test commands.

In plain words
What is it for?
Use it when building, formatting, linting, testing, or understanding the structure of the mcp2skill codebase.
Why use it?
It gives an assistant the project context and the exact commands needed to check changes.

Instructions file for CodexOpenCode

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

This is fenwei-dev/mcp2skill's own configuration. It tells Codex and OpenCode how to work on mcp2skill 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 mcp2skill configures →

Reuse

Borrowing it

Nothing to install: this file belongs to fenwei-dev/mcp2skill. 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/fenwei-dev/mcp2skill/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/fenwei-dev/mcp2skill

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 mcp2skill AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/fenwei-dev/mcp2skill/agents-md/github.svg)](https://agentmods.dev/instructions/fenwei-dev/mcp2skill/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/fenwei-dev/mcp2skill/agents-md"><img src="https://agentmods.dev/badge/instructions/fenwei-dev/mcp2skill/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 mcp2skill AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/fenwei-dev/mcp2skill/agents-md"><img src="https://agentmods.dev/badge/instructions/fenwei-dev/mcp2skill/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,173 This file is loaded in full into every session.
When invoked 1,173 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 $0.01173 $0.01173
Opus 5.5 $0.00469 $0.00469
Sonnet 5.5 $0.00235 $0.00235
Haiku 4.5 $0.00117 $0.00117

Measured 2mo ago against content hash df088295187d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcp2skill 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 · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Instructions for AI coding assistants working in this repository.

Project Overview

mcp2skill is a Go CLI tool that converts MCP (Model Context Protocol) servers into agent skills. It generates skill packages with SKILL.md documentation from MCP server metadata.

Build, Lint, and Test Commands

# Build
go build ./cmd/mcp2skill                              # Standard build
CGO_ENABLED=0 go build -ldflags="-s -w" ./cmd/mcp2skill  # Static binary for distribution

# Run all tests
go test ./...

# Run tests with coverage
go test -cover ./...

# Run a single test file
go test -v ./internal/config

# Run a single test function
go test -v -run TestFunctionName ./internal/config

# Run tests in specific package with timeout
go test -timeout 30s ./internal/mcp

# Lint (if golangci-lint is installed)
golangci-lint run ./...
golangci-lint run --new-from-rev HEAD~1  # Lint only changes

Code Style Guidelines

Formatting

  • Use gofmt (or go fmt) to format code before committing
  • Run go vet to catch common mistakes
  • Configure editor to format on save with gofmt

Imports

  • Use standard Go import organization with go fmt/goimports
  • Group imports: standard library first, then third-party, then internal
  • Use dot imports sparingly (only in test files when helpful)

Types and Interfaces

  • Use struct types for data containers with JSON tags for config files
  • Define interfaces for external dependencies (e.g., MCP client) to enable testing
  • Prefer concrete types over interfaces unless mocking is needed
  • Use type aliases for domain-specific strings (e.g., type TransportType string)

Naming Conventions

  • Packages: lowercase, short, descriptive (e.g., config, mcp, cliapp)
  • Exported identifiers: PascalCase (e.g., LoadEffective, ServerConfig)
  • Unexported identifiers: camelCase (e.g., loadEffective, serverCfg)
  • Variables: concise but descriptive; avoid single letters except loop indices
  • Constants: SNAKE_CASE for grouped constants, PascalCase for exported enums
  • Acronyms: Use consistent casing (e.g., ServeMux, not ServeMIX or ServeMuxID)

Read the full file on GitHub · 134 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. 2mo ago First seen · 134 lines · 1,173 tokens per session scan A df088295187d

Subscribe to this mod's changes

mcp2skill AGENTS.md is an instructions file published in the GitHub repository fenwei-dev/mcp2skill (56 stars, last pushed 9mo ago), licensed MIT. It adds 1,173 tokens to every session, about $0.0047 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 2026-08-30.

Related

mcp2skill AGENTS.md compared with instructions from other repositories

mcp2skill AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
mcp2skill AGENTS.mdfenwei-dev/mcp2skillInstructions file569mo agoMITA1,173Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, 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