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Pandadoc
by
Vlad Ursul
· GitHub ↗
· v1.0.1
· MIT-0
101
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install pandadoc-integration
Description
PandaDoc integration. Manage data, records, and automate workflows. Use when the user wants to interact with PandaDoc data.
Usage Guidance
This skill appears internally consistent, but before installing: 1) Verify you trust Membrane (@membranehq) and the homepage/repository URLs (the registry 'Source' is unknown here). 2) Installing the CLI via npm modifies your environment — consider using npx to avoid a global install. 3) Understand that connecting a PandaDoc account via Membrane gives Membrane access to your PandaDoc data (they handle credentials server-side); review Membrane's privacy/security docs and the OAuth scopes requested during the browser login. 4) If you need stronger assurance, check the upstream repository/package contents and publisher identity on npm/GitHub before proceeding.
Capability Analysis
Type: OpenClaw Skill
Name: pandadoc-integration
Version: 1.0.1
The skill bundle provides instructions for an AI agent to manage PandaDoc integrations via the Membrane CLI. It outlines standard procedures for installation, authentication, and API interaction through the '@membranehq/cli' package. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found; the instructions specifically advise against handling raw API keys locally, favoring a secure server-side connection model.
Capability Tags
Capability Assessment
Purpose & Capability
The name/description (PandaDoc integration) match the SKILL.md: it instructs the agent to use the Membrane CLI to connect to PandaDoc, discover and run actions, and manage documents. No unrelated services, credentials, or binaries are requested.
Instruction Scope
Runtime instructions are limited to installing/using the Membrane CLI, authenticating via Membrane, creating/listing connections, discovering and running actions, and polling build state. The instructions do not direct the agent to read arbitrary system files, access unrelated environment variables, or exfiltrate data to unknown endpoints beyond Membrane/PandaDoc.
Install Mechanism
The only install step is installing the official-looking npm package @membranehq/cli (or using npx). This is a standard mechanism; no arbitrary URLs, archives, or extract steps are used. Risk is typical for installing a global CLI package and depends on trusting the package publisher.
Credentials
The skill declares no required environment variables or credentials. Authentication is delegated to Membrane (browser-based login/connection flow), which fits the described workflow. There are no requests for unrelated secrets or config paths.
Persistence & Privilege
always is false and the skill is user-invocable with normal autonomous invocation allowed. The skill does not request system-wide persistence, nor does it instruct changes to other skills or global agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pandadoc-integration - After installation, invoke the skill by name or use
/pandadoc-integration - 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 Pandadoc?
PandaDoc integration. Manage data, records, and automate workflows. Use when the user wants to interact with PandaDoc data. It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.
How do I install Pandadoc?
Run "/install pandadoc-integration" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pandadoc free?
Yes, Pandadoc is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pandadoc support?
Pandadoc is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pandadoc?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.1.
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