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Talentlyft
作者
Vlad Ursul
· GitHub ↗
· v1.0.1
· MIT-0
112
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install talentlyft
功能描述
TalentLyft integration. Manage data, records, and automate workflows. Use when the user wants to interact with TalentLyft data.
安全使用建议
This skill appears coherent: it relies on the Membrane CLI to connect to TalentLyft and does not ask for extra secrets. Before installing, verify the @membranehq/cli package and the publisher (review the npm package page and GitHub repo), and consider using npx or a local/isolated install instead of a global -g install to reduce risk. Expect a browser-based login flow (or a manual code for headless environments). If you don't trust the Membrane service, do not provide your account credentials or create connections.
功能分析
Type: OpenClaw Skill
Name: talentlyft
Version: 1.0.1
The skill is a standard integration for TalentLyft using the Membrane CLI. It provides instructions for the agent to manage recruiting data through the Membrane platform, which handles authentication and API interactions. The instructions in SKILL.md are aligned with the stated purpose, emphasizing secure credential management and action discovery without any evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
The skill says it integrates with TalentLyft and all instructions show using the Membrane CLI and a Membrane connection to talk to TalentLyft — requesting a Membrane account/CLI is appropriate for this purpose. No unrelated services, credentials, or binaries are required.
Instruction Scope
SKILL.md only instructs installing and using the Membrane CLI, logging in, creating a connection to the talentlyft connector, discovering and running actions. It does not direct the agent to read unrelated local files, environment variables, or exfiltrate data to unexpected endpoints. Headless login requires a manual browser step, which the doc documents.
Install Mechanism
The doc asks users to run `npm install -g @membranehq/cli@latest` (a public npm package). Installing a global npm package executes code from the npm registry, which is a normal but moderately risky action compared with instruction-only skills. This is expected for a CLI-based integration, but users should verify the package source/reputation or prefer npx/isolated install if concerned.
Credentials
No environment variables, keys, or config paths are required by the skill. The SKILL.md explicitly advises letting Membrane handle credentials and not asking users for TalentLyft API keys, which is proportionate.
Persistence & Privilege
The skill is instruction-only, not always-on, and does not request system-wide configuration or modify other skills. Autonomous model invocation is enabled by default but not combined with other concerning privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install talentlyft - 安装完成后，直接呼叫该 Skill 的名称或使用
/talentlyft触发 - 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
v1.0.1
Auto sync from membranedev/application-skills
v1.0.0
Auto sync from membranedev/application-skills
元数据
常见问题
Talentlyft 是什么？
TalentLyft integration. Manage data, records, and automate workflows. Use when the user wants to interact with TalentLyft data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 112 次。
如何安装 Talentlyft？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install talentlyft」即可一键安装，无需额外配置。
Talentlyft 是免费的吗？
是的，Talentlyft 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Talentlyft 支持哪些平台？
Talentlyft 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 Talentlyft？
由 Vlad Ursul（@gora050）开发并维护，当前版本 v1.0.1。
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