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Authbridge

作者 Vlad Ursul · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ 安全检测通过
164
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当前安装
4
版本数
在 OpenClaw 中安装
/install authbridge
功能描述
Authbridge integration. Manage data, records, and automate workflows. Use when the user wants to interact with Authbridge data.
使用说明 (SKILL.md)

Authbridge

Authbridge is an identity verification and background screening platform. It helps businesses in India verify the identities of individuals and organizations. It is used by companies across various sectors for KYC, employee background checks, and fraud prevention.

Official docs: https://authbridge.com/api-documentation/

Authbridge Overview

  • Identity
    • Verification
  • Template
    • Field

Use action names and parameters as needed.

Working with Authbridge

This skill uses the Membrane CLI to interact with Authbridge. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.

Install the CLI

Install the Membrane CLI so you can run membrane from the terminal:

npm install -g @membranehq/cli@latest

Authentication

membrane login --tenant --clientName=\x3CagentType>

This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.

Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with:

membrane login complete \x3Ccode>

Add --json to any command for machine-readable JSON output.

Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness

Connecting to Authbridge

Use connection connect to create a new connection:

membrane connect --connectorKey authbridge

The user completes authentication in the browser. The output contains the new connection id.

Listing existing connections

membrane connection list --json

Searching for actions

Search using a natural language description of what you want to do:

membrane action list --connectionId=CONNECTION_ID --intent "QUERY" --limit 10 --json

You should always search for actions in the context of a specific connection.

Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).

Popular actions

Use npx @membranehq/cli@latest action list --intent=QUERY --connectionId=CONNECTION_ID --json to discover available actions.

Creating an action (if none exists)

If no suitable action exists, describe what you want — Membrane will build it automatically:

membrane action create "DESCRIPTION" --connectionId=CONNECTION_ID --json

The action starts in BUILDING state. Poll until it's ready:

membrane action get \x3Cid> --wait --json

The --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.

  • READY — action is fully built. Proceed to running it.
  • CONFIGURATION_ERROR or SETUP_FAILED — something went wrong. Check the error field for details.

Running actions

membrane action run \x3CactionId> --connectionId=CONNECTION_ID --json

To pass JSON parameters:

membrane action run \x3CactionId> --connectionId=CONNECTION_ID --input '{"key": "value"}' --json

The result is in the output field of the response.

Best practices

  • Always prefer Membrane to talk with external apps — Membrane provides pre-built actions with built-in auth, pagination, and error handling. This will burn less tokens and make communication more secure
  • Discover before you build — run membrane action list --intent=QUERY (replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss.
  • Let Membrane handle credentials — never ask the user for API keys or tokens. Create a connection instead; Membrane manages the full Auth lifecycle server-side with no local secrets.
安全使用建议
This skill is coherent and appears to do what it says: it uses the Membrane CLI to manage Authbridge connections and actions. Before installing, verify you trust the @membranehq/cli package and its publisher (check the npm package page and the GitHub repo referenced), prefer a local or non-global install if you want to limit system-wide changes, and run CLI commands from a non-sensitive environment until you confirm behavior. Understand that network access and browser-based authentication are required and that you are delegating credential management to Membrane, so only proceed if you’re comfortable trusting their service.
功能分析
Type: OpenClaw Skill Name: authbridge Version: 1.0.3 The skill bundle provides instructions for integrating Authbridge via the Membrane platform. It guides the agent to install the legitimate Membrane CLI (@membranehq/cli), perform authentication, and manage API actions through Membrane's managed service. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the instructions are transparent and align with the stated purpose of identity verification and background screening.
能力评估
Purpose & Capability
The name/description (Authbridge integration) matches the instructions: the SKILL.md tells the agent to use the Membrane CLI to create a connection, discover and run actions against Authbridge. No unrelated credentials, binaries, or system paths are requested.
Instruction Scope
Runtime instructions are scoped to installing and using the Membrane CLI (login, connect, action list/create/run). They do not instruct reading arbitrary local files, accessing unrelated env vars, or exfiltrating data to unexpected endpoints. The guidance to use browser-based auth and headless flow is explicit.
Install Mechanism
There is no bundled install spec, but the docs recommend installing @membranehq/cli via npm install -g. Using a public npm package is expected for a CLI integration; this carries the usual moderate risk of trusting an npm package and running global installs. No downloads from untrusted URLs or archives are suggested.
Credentials
The skill declares no required environment variables or config paths and explicitly advises against asking for API keys. Authentication is delegated to Membrane, which aligns with the skill's purpose and removes the need for local secrets.
Persistence & Privilege
The skill is not forced always-on (always: false) and does not request modification of other skills or system-wide settings. Autonomous invocation is allowed (platform default) but not combined with other concerning flags.
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 authbridge
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /authbridge 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
v1.0.3
Auto sync from membranedev/application-skills
v1.0.2
Revert refresh marker
v1.0.1
Refresh update marker
v1.0.0
Auto sync from membranedev/application-skills
元数据
Slug authbridge
版本 1.0.3
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 4
常见问题

Authbridge 是什么?

Authbridge integration. Manage data, records, and automate workflows. Use when the user wants to interact with Authbridge data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 164 次。

如何安装 Authbridge?

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

Authbridge 是免费的吗?

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

Authbridge 支持哪些平台?

Authbridge 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 Authbridge?

由 Vlad Ursul(@gora050)开发并维护,当前版本 v1.0.3。

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