mcp_tools: Instructions file for GitHub Copilot

.github/instructions/plugins.instructions.md

plugin-development is an instructions file for GitHub Copilot from ljzloser/mcp_tools. It costs 1,539 tokens per session, scanned A, original, MIT.

A set of instructions for building or changing MCP Tool Hub plugins, which are add-ons that give an AI tool extra functions. It covers the required Python files, backend tools, optional user interface, and documentation.

In plain words
What is it for?
Use it when creating or updating a plugin in the plugins/ directory, including its Python backend, optional PySide6 desktop interface, and README.
Why use it?
It gives developers a consistent plugin structure and shows how to declare settings, inputs, metadata, and tool handlers. This reduces guesswork when adding or modifying plugins.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is ljzloser/mcp_tools's own configuration. It tells GitHub Copilot how to work on mcp_tools 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 mcp_tools configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is 参考现有插件:[plugins/calculator_tool/](../../plugins/calculator_tool/)、[plugins/json_tool/](../../plugins/json_tool/).

Reuse

Borrowing it

Nothing to install: this file belongs to ljzloser/mcp_tools. 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/ljzloser/mcp_tools/master/.github/instructions/plugins.instructions.md
Clone the repo
git clone --depth 1 https://github.com/ljzloser/mcp_tools

Made for: GitHub Copilot.

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 plugin-development

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ljzloser/mcp_tools/plugins/github.svg)](https://agentmods.dev/instructions/ljzloser/mcp_tools/plugins)
Your own site
<a href="https://agentmods.dev/instructions/ljzloser/mcp_tools/plugins"><img src="https://agentmods.dev/badge/instructions/ljzloser/mcp_tools/plugins/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 plugin-development

Your own site · 80×15
<a href="https://agentmods.dev/instructions/ljzloser/mcp_tools/plugins"><img src="https://agentmods.dev/badge/instructions/ljzloser/mcp_tools/plugins.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,539 This file is loaded in full into every session.
When invoked 1,539 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 $0.01539 $0.01539
Opus 5.5 $0.00616 $0.00616
Sonnet 5.5 $0.00308 $0.00308
Haiku 4.5 $0.00154 $0.00154

Measured 2mo ago against content hash 4ea0bbe8d682, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plugin-development 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.

.github/instructions/plugins.instructions.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCP Tool Hub 插件开发指南

插件结构

每个插件目录包含:

  • __init__.py — 导出 PLUGIN_CLASS 和 WIDGET_CLASS(可选)
  • backend.py — 插件后端逻辑
  • widget.py — 可选的 PySide6 UI 组件
  • README.md — 插件文档(必须)

目录名不能以 _ 或 . 开头。

后端模式

基本结构

from api.base_plugin import BasePlugin
from api.tool import ToolDef, MCPToolResult
from api.config import ConfigModel, StringField
from pydantic import BaseModel, Field

# 可选:配置模型
class MyPluginConfig(ConfigModel):
    api_key = StringField(default="", label="API 密钥", description="...")

# 工具参数模型
class MyToolArgs(BaseModel):
    input_text: str = Field(description="输入文本")

# 插件类
class MyPlugin(BasePlugin[MyPluginConfig]):
    config_class = MyPluginConfig
    
    # 工具声明 — 使用类属性 ToolDef
    my_tool = ToolDef(
        name="my_tool",
        args_model=MyToolArgs,
        description="工具描述"
    )
    
    @property
    def meta(self) -> PluginMeta:
        return PluginMeta(
            name="my_plugin",
            display_name="我的插件",
            version="1.0.0",
            description="插件功能描述",
            author="MCP Tool Hub",
            icon="🔧"
        )
    
    async def handle_my_tool(self, args: MyToolArgs) -> MCPToolResult:
        try:
            result = f"处理: {args.input_text}"
            return MCPToolResult(content=[{"type": "text", "text": result}])
        except Exception as e:
            return MCPToolResult(
                content=[{"type": "text", "text": f"错误: {e}"}],
                is_error=True
            )

工具声明规范

  • 使用 ToolDef 类属性(非装饰器)
  • name: 工具唯一名称,全局唯一
  • args_model: Pydantic BaseModel,用于参数验证和 JSON Schema 生成
  • description: 工具功能描述,供 AI 客户端使用

返回格式

统一使用 MCPToolResult:

# 成功
MCPToolResult(content=[{"type": "text", "text": "结果"}])

# 错误
MCPToolResult(content=[{"type": "text", "text": "错误信息"}], is_error=True)

访问配置

class MyPlugin(BasePlugin[MyPluginConfig]):
    async def handle_my_tool(self, args):
        # 直接通过 self.config 访问配置字段
        api_key = self.config.api_key

Read the full file on GitHub · 228 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 · 228 lines · 1,539 tokens per session scan A 4ea0bbe8d682

Subscribe to this mod's changes

plugin-development is an instructions file published in the GitHub repository ljzloser/mcp_tools (4 stars, last pushed 4mo ago), licensed MIT. It adds 1,539 tokens to every session, about $0.0062 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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