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Penneo
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
141
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install penneo
Description
Penneo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Penneo data.
Usage Guidance
This skill appears coherent for integrating Penneo via Membrane, but before installing: 1) confirm you trust the Membrane project/getmembrane.com and the npm package owner (@membranehq); 2) prefer using npx or installing a specific, reviewed version instead of a global @latest to reduce supply-chain risk; 3) review the permissions and data Membrane will access for your Penneo connection and revoke connections when no longer needed; 4) avoid pasting sensitive local secrets into the CLI and verify the authorization URL is legitimate when completing login.
Capability Analysis
Type: OpenClaw Skill
Name: penneo
Version: 1.0.3
The skill provides instructions for an AI agent to integrate with the Penneo platform using the Membrane CLI (@membranehq/cli). It outlines standard procedures for installation, authentication, and executing actions via the Membrane service. The instructions prioritize security by advising the agent to let the third-party service handle credentials rather than requesting them from the user, and no indicators of malicious intent, data exfiltration, or unauthorized execution were found in SKILL.md or _meta.json.
Capability Tags
Capability Assessment
Purpose & Capability
The name/description (Penneo integration) matches the instructions: the SKILL.md uses the Membrane CLI to create connections and run actions against Penneo. No unrelated credentials or binaries are requested.
Instruction Scope
All runtime steps are limited to installing/using the Membrane CLI, logging in, creating a connection, discovering and running actions. The instructions do not ask the agent to read arbitrary system files, harvest environment variables, or transmit data to unexpected endpoints.
Install Mechanism
This is an instruction-only skill but tells the user to install @membranehq/cli via npm (global install or npx). Installing packages from npm is common and expected here, but using @latest/global increases risk (package compromise or unexpected updates). The skill provides no pinned version or checksum and will cause code to be written to disk when the user follows the instructions.
Credentials
The skill declares no environment variables or credentials and the README explicitly recommends letting Membrane handle auth rather than asking for API keys. Requested access is proportional to the purpose (network + Membrane account).
Persistence & Privilege
The skill is not always-enabled and is user-invocable. It instructs use of membrane login which will store connection tokens in the Membrane CLI configuration (expected). There is no request to modify other skills or system-wide agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install penneo - After installation, invoke the skill by name or use
/penneo - 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 Penneo?
Penneo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Penneo data. It is an AI Agent Skill for Claude Code / OpenClaw, with 141 downloads so far.
How do I install Penneo?
Run "/install penneo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Penneo free?
Yes, Penneo is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Penneo support?
Penneo is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Penneo?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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