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gora050

Retriever

作者 Vlad Ursul · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ 安全检测通过
187
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install retriever
功能描述
Retriever integration. Manage Organizations, Leads, Projects, Pipelines, Users, Filters. Use when the user wants to interact with Retriever data.
安全使用建议
This skill is internally consistent: it delegates auth and API work to Membrane and asks only to use the Membrane CLI. Before installing or running it: (1) verify the @membranehq/cli package and its maintainer on the npm registry (or use npx/pin a version) to reduce supply-chain risk; (2) confirm the getmembrane.com and GitHub repository links in the SKILL.md are legitimate and match the publisher you expect; (3) be aware the CLI will require network access and you will perform a browser-based login that grants Membrane access to your Retriever data — review what permissions are requested during that login; (4) avoid pasting account secrets into the skill; and (5) if you need tighter control, run the CLI in an isolated environment or container.
功能分析
Type: OpenClaw Skill Name: retriever Version: 1.0.3 The skill bundle provides instructions for an AI agent to interact with the 'Retriever' service using the Membrane CLI. The instructions in SKILL.md focus on legitimate integration tasks such as authentication, action discovery, and execution through the @membranehq/cli npm package. It explicitly encourages secure credential management by delegating authentication to the Membrane platform rather than asking the user for secrets, and no evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力评估
Purpose & Capability
The name/description (Retriever integration) match the actions described: using the Membrane CLI to connect to a Retriever connector, list/create/run actions, and manage connections. The requested capabilities (network access, Membrane account) are appropriate for this purpose.
Instruction Scope
SKILL.md only instructs the agent/user to install and run the Membrane CLI and to perform connector/action lifecycle commands (login, connect, action list/create/run). It does not instruct reading unrelated system files, collecting arbitrary environment variables, or exfiltrating data to unknown endpoints. Authentication is handled via Membrane's login flow rather than asking the user for API keys.
Install Mechanism
There is no platform install spec (instruction-only). The doc instructs the user to run an npm global install (npm install -g @membranehq/cli@latest) or npx for specific commands. Installing a third-party CLI from npm is a normal approach but carries the usual npm-package risks (supply-chain/typosquatting). Prefer npx or pinning a known-good version and verify the package identity if you are cautious.
Credentials
The skill declares no required environment variables or credentials; SKILL.md relies on Membrane-managed authentication (browser or headless code flow). That is proportionate to the stated functionality. The instructions explicitly discourage asking users for raw API keys, which is appropriate.
Persistence & Privilege
The skill is not forced always-on and is user-invocable. It does not request to modify other skills or system-wide settings. There are no install-time persistent agents described in SKILL.md.
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 retriever
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /retriever 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 retriever
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

Retriever 是什么?

Retriever integration. Manage Organizations, Leads, Projects, Pipelines, Users, Filters. Use when the user wants to interact with Retriever data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 187 次。

如何安装 Retriever?

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

Retriever 是免费的吗?

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

Retriever 支持哪些平台?

Retriever 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 Retriever?

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

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