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Talentlyft
by
Vlad Ursul
· GitHub ↗
· v1.0.1
· MIT-0
112
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install talentlyft
Description
TalentLyft integration. Manage data, records, and automate workflows. Use when the user wants to interact with TalentLyft data.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install talentlyft - After installation, invoke the skill by name or use
/talentlyft - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Auto sync from membranedev/application-skills
v1.0.0
Auto sync from membranedev/application-skills
Metadata
Frequently Asked Questions
What is Talentlyft?
TalentLyft integration. Manage data, records, and automate workflows. Use when the user wants to interact with TalentLyft data. It is an AI Agent Skill for Claude Code / OpenClaw, with 112 downloads so far.
How do I install Talentlyft?
Run "/install talentlyft" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Talentlyft free?
Yes, Talentlyft is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Talentlyft support?
Talentlyft is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Talentlyft?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.1.
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