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{
  "$schema": "https://opencode.ai/config.json",
  "plugin": ["opencode-helicone-session", "opencode-wakatime", "@my-org/custom-plugin"]
}

{
  "dependencies": {
    "shescape": "^2.1.0"
  }
}

import { escape } from "shescape"
 
export const MyPlugin = async (ctx) => {
  return {
    "tool.execute.before": async (input, output) => {
      if (input.tool === "bash") {
        output.args.command = escape(output.args.command)
      }
    },
  }
}

export const MyPlugin = async ({ project, client, $, directory, worktree }) => {
  console.log("Plugin initialized!")
 
  return {
    // 훅 구현이 여기에 들어갑니다
  }
}

import type { Plugin } from "@opencode-ai/plugin"
 
export const MyPlugin: Plugin = async ({ project, client, $, directory, worktree }) => {
  return {
    // 타입 안전한 훅 구현
  }
}

export const NotificationPlugin = async ({ project, client, $, directory, worktree }) => {
  return {
    event: async ({ event }) => {
      // 세션 완료 시 알림 보내기
      if (event.type === "session.idle") {
        await $`osascript -e 'display notification "Session completed!" with title "opencode"'`
      }
    },
  }
}

export const EnvProtection = async ({ project, client, $, directory, worktree }) => {
  return {
    "tool.execute.before": async (input, output) => {
      if (input.tool === "read" && output.args.filePath.includes(".env")) {
        throw new Error("Do not read .env files")
      }
    },
  }
}

export const InjectEnvPlugin = async () => {
  return {
    "shell.env": async (input, output) => {
      output.env.MY_API_KEY = "secret"
      output.env.PROJECT_ROOT = input.cwd
    },
  }
}

import { type Plugin, tool } from "@opencode-ai/plugin"
 
export const CustomToolsPlugin: Plugin = async (ctx) => {
  return {
    tool: {
      mytool: tool({
        description: "This is a custom tool",
        args: {
          foo: tool.schema.string(),
        },
        async execute(args, context) {
          const { directory, worktree } = context
          return `Hello ${args.foo} from ${directory} (worktree: ${worktree})`
        },
      }),
    },
  }
}

export const MyPlugin = async ({ client }) => {
  await client.app.log({
    body: {
      service: "my-plugin",
      level: "info",
      message: "Plugin initialized",
      extra: { foo: "bar" },
    },
  })
}

import type { Plugin } from "@opencode-ai/plugin"
 
export const CompactionPlugin: Plugin = async (ctx) => {
  return {
    "experimental.session.compacting": async (input, output) => {
      // 압축 프롬프트에 추가 컨텍스트 주입
      output.context.push(`
## Custom Context
 
Include any state that should persist across compaction:
- Current task status
- Important decisions made
- Files being actively worked on
`)
    },
  }
}

import type { Plugin } from "@opencode-ai/plugin"
 
export const CustomCompactionPlugin: Plugin = async (ctx) => {
  return {
    "experimental.session.compacting": async (input, output) => {
      // 전체 압축 프롬프트 대체
      output.prompt = `
You are generating a continuation prompt for a multi-agent swarm session.
 
Summarize:
1. The current task and its status
2. Which files are being modified and by whom
3. Any blockers or dependencies between agents
4. The next steps to complete the work
 
Format as a structured prompt that a new agent can use to resume work.
`
    },
  }
}