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Goody

作者 OOMOL · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install oo-goody
功能描述
Goody (ongoody.com). Use this skill for ANY Goody request — searching and reading data. Whenever a task involves Goody, use this skill instead of calling the...
使用说明 (SKILL.md)

Goody

Operate Goody through your OOMOL-connected account. This skill calls the goody connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.

Category: Productivity. Exposes 7 action(s).

Running an action

Assume the user has already installed the oo CLI, signed in, and connected Goody. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.

1. Inspect the contract to get the authoritative input/output schema before building a payload:

oo connector schema "goody" --action "\x3Caction_name>"

2. Run the action with a JSON payload that matches the input schema:

oo connector run "goody" --action "\x3Caction_name>" --data '\x3Cjson>' --json
  • --data takes a JSON object string or @path/to/file.json; omit it to send {}.
  • The response is { "data": ..., "meta": { "executionId": "..." } }; the execution id lives under meta.executionId.

Each action below links to a reference file with its purpose and exact commands. Read the linked file, then fetch the live schema with oo connector schema before constructing --data.

Available actions

Safety

  • Read actions (get / list / search) are safe to run directly.
  • Create, update, send, or post actions change Goody state — confirm the exact payload and effect with the user before running.
  • Delete or remove actions are destructive — always confirm the target and get explicit approval first.

First-time setup

These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.

  • oo: command not found — install the oo CLI (other platforms: \x3Chttps://cli.oomol.com/install-guide.md>):

    curl -fsSL https://cli.oomol.com/install.sh | bash    # macOS / Linux
    
    irm https://cli.oomol.com/install.ps1 | iex           # Windows PowerShell
    
  • Not signed in / authentication error — sign in to your OOMOL account once:

    oo auth login
    
  • scope_missing / credential_expired / app_not_ready / app_not_found — Goody is not connected, or the connection expired or lacks a scope. Connect once (auth type: API key) at:

    https://console.oomol.com/app-connections?provider=goody
    
  • HTTP 402 / OOMOL_INSUFFICIENT_CREDIT — billing stop. Recharge at https://console.oomol.com/billing/token-recharge before retrying.

Resources

安全使用建议
Install only if you want an agent to help with ClawHub maintainer or Convex project workflows. Review the moderation and autoreview commands before use, especially actions that ban/unban users, change roles, publish PR proof artifacts, run migrations, or invoke full-access nested review.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The artifacts cover ClawHub moderation, PR maintenance, UI proof generation, autoreview, and Convex setup/migration/performance work; high-impact actions such as banning users, changing roles, publishing proof comments, and running migrations are consistent with those stated purposes.
Instruction Scope
Sensitive workflows are scoped by explicit targets, confirmation requirements, reasons for moderation actions, use of existing auth/API checks, audit logging, and verification steps; no hidden or unrelated instructions were found.
Install Mechanism
The skill files are plain SKILL.md guidance plus local references, icons, simple OpenAI interface metadata, and one documented autoreview helper script; no install-time persistence or obfuscated installer behavior was found.
Credentials
The skills may invoke GitHub, Convex, package-manager, browser/dev-server, and reviewer CLI tools, which is proportionate for repository maintenance and Convex development but should be expected to touch networked services.
Persistence & Privilege
The autoreview helper defaults nested Codex review to full-access sandbox bypass and the moderation skill can mutate ClawHub account/content state, but these capabilities are disclosed, user-directed, and include opt-out or confirmation controls; no secret harvesting, stealth persistence, or automatic destructive behavior was found.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install oo-goody
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /oo-goody 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Adds the `oo-goody` skill for working with Goody through an OOMOL-connected account via the `oo` CLI. - Supports read-only Goody account discovery with current user, workspace, and payment method lookup. - Provides order access, including listing orders with optional creation timestamp filtering and retrieving a specific order by ID. - Provides product catalog access, including listing active products and retrieving a specific product by ID. - Documents schema-first execution for all 7 actions so payloads can track upstream connector changes. Source: `oomol-lab/skills@e3717ff`
元数据
Slug oo-goody
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Goody 是什么?

Goody (ongoody.com). Use this skill for ANY Goody request — searching and reading data. Whenever a task involves Goody, use this skill instead of calling the... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 39 次。

如何安装 Goody?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install oo-goody」即可一键安装,无需额外配置。

Goody 是免费的吗?

是的,Goody 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Goody 支持哪些平台?

Goody 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Goody?

由 OOMOL(@oomol)开发并维护,当前版本 v1.0.0。

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