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FlowiseAI

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-flowiseai
功能描述
FlowiseAI (flowiseai.com). Use this skill for ANY FlowiseAI request — reading, creating, and updating data. Whenever a task involves FlowiseAI, use this skil...
使用说明 (SKILL.md)

FlowiseAI

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

Category: AI, Developer Tools. Exposes 2 action(s).

Running an action

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

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

oo connector run "flowiseai" --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

  • get_chatflow — Fetch the FlowiseAI chatflow currently protected by the connected API key.
  • send_message — Send a JSON-only prediction request to the FlowiseAI chatflow protected by the connected API key.

Safety

  • Read actions (get / list / search) are safe to run directly.
  • Create, update, send, or post actions change FlowiseAI 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 — FlowiseAI 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=flowiseai
    
  • 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 this only if you are comfortable using OOMOL as the intermediary for your FlowiseAI connection. Review the exact payload before any send action, and only run the oo CLI install script or account-connection steps if you trust OOMOL's CLI and console domains.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The stated purpose is to operate FlowiseAI through an OOMOL-connected account, and the artifacts expose only two documented actions: fetching a chatflow and sending a prediction request.
Instruction Scope
The trigger wording is broad for any FlowiseAI request, but the runtime instructions narrow execution to live schema inspection and documented connector actions, with confirmation required before send/write operations.
Install Mechanism
First-time setup recommends installing the oo CLI via remote HTTPS install scripts piped to a shell or PowerShell; this is disclosed and only for missing-CLI recovery, but users should trust the OOMOL installer source before running it.
Credentials
Allowed runtime authority is limited to Bash commands starting with oo, which fits the connector-based purpose; the skill does not request broad filesystem, shell, browser, or arbitrary network access.
Persistence & Privilege
The skill relies on an OOMOL account connection and server-side FlowiseAI credentials, but it says raw tokens are not handled locally and shows no background workers, hidden persistence, deletion, or local credential harvesting.
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-flowiseai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /oo-flowiseai 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
- Provides OOMOL-connected access to FlowiseAI without handling raw API credentials locally. - Adds `get_chatflow` to fetch the chatflow protected by the connected FlowiseAI API key. - Adds `send_message` to send JSON-only prediction requests to the connected chatflow. - Standardizes action execution through the `oo` CLI with live schema inspection before building payloads. - Documents safety guidance for read actions, write actions, authentication setup, connection recovery, and billing errors.
元数据
Slug oo-flowiseai
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

FlowiseAI 是什么?

FlowiseAI (flowiseai.com). Use this skill for ANY FlowiseAI request — reading, creating, and updating data. Whenever a task involves FlowiseAI, use this skil... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 23 次。

如何安装 FlowiseAI?

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

FlowiseAI 是免费的吗?

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

FlowiseAI 支持哪些平台?

FlowiseAI 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 FlowiseAI?

由 OOMOL(@oomol)开发并维护,当前版本 v1.0.0。

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