プラグイン

{
  "$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 {
    // フックの実装をここに記述
  }
}

import type { Plugin } from "@opencode-ai/plugin"
 
export const MyPlugin: Plugin = async ({ project, client, $, directory, worktree }) => {
  return {
    // 型安全なフックの実装
  }
}

export const NotificationPlugin = async ({ project, client, $, directory, worktree }) => {
  return {
    event: async ({ event }) => {
      // セッション完了時に通知を送信
      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) => {
      // コンパクションプロンプトに追加のコンテキストを注入
      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) => {
      // コンパクションプロンプト全体を置き換え
      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.
`
    },
  }
}