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ChatBotKit

作者 OOMOL · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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在 OpenClaw 中安装
/install oo-chatbotkit
功能描述
ChatBotKit (chatbotkit.com). Use this skill for ANY ChatBotKit request — reading, creating, and updating data. Whenever a task involves ChatBotKit, use this...
使用说明 (SKILL.md)

ChatBotKit

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

Category: AI, Developer Tools. Exposes 27 action(s).

Running an action

Assume the user has already installed the oo CLI, signed in, and connected ChatBotKit. 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 "chatbotkit" --action "\x3Caction_name>"

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

oo connector run "chatbotkit" --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

  • attach_dataset_file — Attach an existing ChatBotKit file to a dataset.
  • complete_conversation — Send a message to a ChatBotKit conversation and receive the next assistant reply.
  • create_bot — Create a new ChatBotKit bot.
  • create_conversation — Create a new ChatBotKit conversation with either a bot reference or inline bot configuration.
  • create_conversation_message — Append a message to an existing ChatBotKit conversation.
  • create_dataset — Create a new ChatBotKit dataset for knowledge retrieval.
  • create_dataset_record — Create a new record inside a ChatBotKit dataset.
  • create_file — Create a new ChatBotKit file resource.
  • detach_dataset_file — Detach a ChatBotKit file from a dataset.
  • download_file — Fetch the download URL for an existing ChatBotKit file.
  • fetch_bot — Fetch a single ChatBotKit bot by ID.
  • fetch_conversation — Fetch a single ChatBotKit conversation by ID.
  • fetch_dataset — Fetch a single ChatBotKit dataset by ID.
  • fetch_file — Fetch a single ChatBotKit file by ID.
  • fetch_usage — Fetch account-wide ChatBotKit usage statistics for tokens, conversations, messages, and database resources.
  • list_bots — List ChatBotKit bots with optional pagination and metadata filtering.
  • list_conversation_messages — List messages inside a ChatBotKit conversation.
  • list_conversations — List ChatBotKit conversations with optional pagination and metadata filtering.
  • list_dataset_files — List files attached to a ChatBotKit dataset.
  • list_dataset_records — List records inside a ChatBotKit dataset.
  • list_datasets — List ChatBotKit datasets with optional pagination and metadata filtering.
  • list_files — List ChatBotKit files with optional pagination and metadata filtering.
  • search_dataset — Run semantic search against a ChatBotKit dataset.
  • sync_file — Trigger synchronization for an existing ChatBotKit file.
  • update_bot — Update an existing ChatBotKit bot.
  • update_dataset — Update an existing ChatBotKit dataset.
  • upload_file — Upload content to an existing ChatBotKit file using the official JSON upload modes.

Safety

  • Read actions (get / list / search) are safe to run directly.
  • Create, update, send, or post actions change ChatBotKit 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 — ChatBotKit 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=chatbotkit
    
  • 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 intend to let an agent operate your ChatBotKit account through OOMOL. Review payloads before write actions such as creating or updating bots, conversations, datasets, records, or files, and only run first-time CLI/auth setup steps when needed.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The stated purpose is to manage ChatBotKit bots, conversations, datasets, files, and usage, and the listed actions match that purpose.
Instruction Scope
Runtime instructions require fetching live schemas, using the chatbotkit connector, and confirming create/update/send operations before execution.
Install Mechanism
First-time setup includes remote oo CLI install commands, but they are disclosed and only recommended after an oo CLI missing error.
Credentials
Allowed tooling is scoped to Bash(oo *), with no arbitrary scripts or local indexing behavior in the artifact.
Persistence & Privilege
The skill uses an OOMOL-connected account and server-side credentials for ChatBotKit access; this is sensitive but disclosed and purpose-aligned.
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-chatbotkit
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /oo-chatbotkit 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
- Initial release of the `oo-chatbotkit` skill for operating ChatBotKit through an OOMOL-connected account via the `oo` CLI. - Provides 27 connector actions for managing bots, conversations, messages, datasets, dataset records, files, and usage data. - Supports conversation workflows, including creating conversations, appending messages, listing conversation history, and requesting assistant completions. - Enables knowledge retrieval operations with dataset creation, updates, record management, file attachments, and semantic dataset search. - Includes safety guidance for read, write, and destructive operations, plus first-time setup instructions for CLI, authentication, connection, and billing issues.
元数据
Slug oo-chatbotkit
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

ChatBotKit 是什么?

ChatBotKit (chatbotkit.com). Use this skill for ANY ChatBotKit request — reading, creating, and updating data. Whenever a task involves ChatBotKit, use this... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 31 次。

如何安装 ChatBotKit?

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

ChatBotKit 是免费的吗?

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

ChatBotKit 支持哪些平台?

ChatBotKit 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 ChatBotKit?

由 OOMOL(@oomol)开发并维护,当前版本 v1.0.0。

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