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Mend
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
161
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install mend
Description
Mend integration. Manage data, records, and automate workflows. Use when the user wants to interact with Mend data.
Usage Guidance
This skill appears coherent: it uses the Membrane CLI to connect to Mend and does not ask for unrelated secrets. Before installing: verify you trust the @membranehq npm package and its maintainers (npm global installs execute code), ensure you have Node/npm available, and be prepared for an interactive browser-based login (or a headless URL/code flow). If you are installing on a shared or production host, prefer reviewing the CLI source on the linked GitHub repo and installing from a vetted release rather than blindly running `-g latest`.
Capability Analysis
Type: OpenClaw Skill
Name: mend
Version: 1.0.3
The skill provides instructions for an AI agent to integrate with the Mend (formerly WhiteSource) security platform using the Membrane CLI. The content in SKILL.md focuses on standard operational procedures such as installing the `@membranehq/cli` npm package, authenticating via OAuth/CLI, and discovering or executing Mend-related actions. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found; the skill follows the documented patterns of the Membrane integration framework.
Capability Tags
Capability Assessment
Purpose & Capability
The skill claims to integrate with Mend and the SKILL.md consistently instructs the agent to use the Membrane CLI and a Mend connector. Using an integration platform (Membrane) as the intermediary is a reasonable design choice for a Mend integration.
Instruction Scope
Instructions are narrowly scoped to installing the Membrane CLI, authenticating via Membrane (interactive or headless flow), creating a connection to Mend, discovering and running Membrane actions, and handling JSON input/output. There are no instructions to read unrelated files, access other credentials, or transmit data to unexpected endpoints.
Install Mechanism
This is an instruction-only skill (no install spec in registry), but SKILL.md instructs the user to run `npm install -g @membranehq/cli@latest`. Installing a global npm package runs third-party code at install time—reasonable for a CLI but a moderate supply-chain consideration. Recommend verifying the package source and maintainers before installing globally.
Credentials
The skill does not declare or require environment variables or config paths. Authentication is delegated to Membrane and the instructions explicitly advise against asking users for API keys—this is proportionate for an integration that uses an intermediary service to manage auth.
Persistence & Privilege
The skill does not request permanent presence (always:false) and does not instruct modifying other skills or system-wide agent settings. It relies on a CLI tool and user-driven authentication, which is appropriate for this integration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mend - After installation, invoke the skill by name or use
/mend - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Mend?
Mend integration. Manage data, records, and automate workflows. Use when the user wants to interact with Mend data. It is an AI Agent Skill for Claude Code / OpenClaw, with 161 downloads so far.
How do I install Mend?
Run "/install mend" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Mend free?
Yes, Mend is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Mend support?
Mend is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Mend?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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