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Sellsy
by
Membrane Dev
· GitHub ↗
· v1.0.3
· MIT-0
157
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install sellsy
Description
Sellsy integration. Manage Deals, Persons, Organizations, Leads, Projects, Pipelines and more. Use when the user wants to interact with Sellsy data.
Usage Guidance
This skill appears coherent: it expects you to install the @membranehq/cli and to have a Membrane account, and it delegates Sellsy auth to Membrane. Before installing, verify the Membrane project (publisher, npm package page, GitHub repo) and prefer using npx or checking package integrity rather than a global install if you want to reduce supply-chain exposure. Review Membrane's privacy/security documentation to confirm how it stores/uses Sellsy credentials. Finally, be aware the agent can invoke skills autonomously by default; if you want tighter control, restrict autonomous invocation in your agent settings or require user approval before actions that access your Sellsy data.
Capability Analysis
Type: OpenClaw Skill
Name: sellsy
Version: 1.0.3
The sellsy skill is a legitimate integration for the Sellsy CRM platform using the Membrane CLI (@membranehq/cli). The instructions guide the AI agent to perform standard CRM tasks such as managing deals and contacts while explicitly advising against handling raw credentials locally, instead delegating authentication to the Membrane platform. No indicators of malicious intent, data exfiltration, or suspicious obfuscation were found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The skill name/description (Sellsy integration) aligns with the instructions: it uses the Membrane CLI to connect to Sellsy, discover and run actions for CRM objects. No unrelated credentials, binaries, or paths are requested.
Instruction Scope
SKILL.md confines the agent to installing/using the Membrane CLI, logging in, creating/listing connections, discovering and running actions. It does not instruct reading arbitrary files, harvesting environment variables, or sending data to unexpected endpoints. It explicitly advises not to ask users for API keys and to let Membrane manage auth.
Install Mechanism
The skill is instruction-only (no install spec), but it recommends installing @membranehq/cli from npm (or using npx). This is proportionate to the task, but npm package installs carry standard supply-chain risk; using npx or verifying the package/publisher mitigates some risk.
Credentials
The skill declares no required environment variables or secrets and relies on Membrane's login flow for authentication, which is appropriate for delegating Sellsy credentials. There are no unexplained credential requests.
Persistence & Privilege
always is false and there is no install-time modification of other skills or system-wide configs. The skill runs via Membrane CLI and does not request persistent elevated privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sellsy - After installation, invoke the skill by name or use
/sellsy - 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 Sellsy?
Sellsy integration. Manage Deals, Persons, Organizations, Leads, Projects, Pipelines and more. Use when the user wants to interact with Sellsy data. It is an AI Agent Skill for Claude Code / OpenClaw, with 157 downloads so far.
How do I install Sellsy?
Run "/install sellsy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Sellsy free?
Yes, Sellsy is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Sellsy support?
Sellsy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Sellsy?
It is built and maintained by Membrane Dev (@membranedev); the current version is v1.0.3.
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