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Ramp
by
Membrane Dev
· GitHub ↗
· v1.0.3
· MIT-0
284
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install ramp
Description
Ramp integration. Manage Organizations. Use when the user wants to interact with Ramp data.
Usage Guidance
This skill is coherent: it delegates Ramp access to the Membrane CLI rather than asking for Ramp API keys. Before installing, verify you trust the @membranehq npm package and the Membrane service (review the package on npm and the project repo/homepage). Prefer running the CLI install and login manually in a shell you control (or use npx for ephemeral runs) rather than pasting credentials into chat. If you permit autonomous agents to invoke skills, remember they could run membrane commands if the CLI and login are available—restrict autonomous execution or use a dedicated environment if that is a concern.
Capability Analysis
Type: OpenClaw Skill
Name: ramp
Version: 1.0.3
The skill bundle provides a legitimate integration for the Ramp financial platform via the Membrane CLI. It guides the agent through installing the `@membranehq/cli` npm package, authenticating, and managing Ramp data through Membrane's infrastructure (getmembrane.com). The instructions in SKILL.md are transparent, aligned with the stated purpose, and follow security best practices by advising the agent to let the third-party service handle credentials rather than requesting secrets from the user.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description (Ramp integration) align with the instructions: all actions are performed via the Membrane CLI which proxies Ramp API calls. Nothing in the SKILL.md requests unrelated cloud credentials, system access, or data sources.
Instruction Scope
SKILL.md confines runtime behavior to installing/using the Membrane CLI, logging in via Membrane, creating connections to Ramp, discovering and running Membrane 'actions'. It does not instruct reading arbitrary local files, asking for API keys, or sending data to unexpected endpoints. It explicitly advises not to ask the user for API keys.
Install Mechanism
Installation guidance uses npm (npm install -g @membranehq/cli or npx), which is consistent with a CLI distributed on the npm registry. This is a common and proportionate install method for a CLI tool; no obscure download URLs or archive extraction are suggested.
Credentials
The skill declares no required env vars, no primary credential, and relies on interactive Membrane login for authentication. That is appropriate: Membrane handles auth server-side and no unrelated secrets are requested.
Persistence & Privilege
Skill is instruction-only and not always-enabled. The skill allows autonomous model invocation by default (platform default) but there are no additional red flags (no broad credential access or persistent background components). Users should be aware that if an agent is permitted to run CLI commands autonomously it could perform Membrane operations without further prompts.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ramp - After installation, invoke the skill by name or use
/ramp - 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 Ramp?
Ramp integration. Manage Organizations. Use when the user wants to interact with Ramp data. It is an AI Agent Skill for Claude Code / OpenClaw, with 284 downloads so far.
How do I install Ramp?
Run "/install ramp" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ramp free?
Yes, Ramp is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ramp support?
Ramp is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ramp?
It is built and maintained by Membrane Dev (@membranedev); the current version is v1.0.3.
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