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gora050

Tradogram

by Vlad Ursul · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
119
Downloads
0
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0
Active Installs
2
Versions
Install in OpenClaw
/install tradogram
Description
Tradogram integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tradogram data.
Usage Guidance
This skill appears coherent, but before installing or using it: (1) verify the authenticity of the @membranehq/cli npm package and that getmembrane.com / the referenced GitHub repo are the official Membrane sources you trust; (2) avoid running global npm installs as root where possible (use a per-user install or Node version manager); (3) review the OAuth/login flow and the permissions requested by Membrane when connecting to Tradogram; (4) do not paste sensitive credentials into chat—use the CLI/browser-based login as instructed; and (5) if you have an enterprise Tradogram deployment, confirm the connectorKey/connection targets the correct tenant/environment before granting access.
Capability Analysis
Type: OpenClaw Skill Name: tradogram Version: 1.0.1 The tradogram skill provides instructions for an AI agent to manage procurement data using the Membrane CLI (@membranehq/cli). It focuses on legitimate integration workflows, including authentication, action discovery, and execution through the Membrane platform, while explicitly advising against local credential storage. No malicious patterns, such as data exfiltration or unauthorized system access, were identified in SKILL.md or _meta.json.
Capability Tags
cryptocan-make-purchasesrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The name/description (Tradogram integration) aligns with the instructions (use Membrane CLI to connect to a Tradogram connector, list/create/run actions). No unrelated credentials, binaries, or configuration paths are requested.
Instruction Scope
SKILL.md contains step-by-step CLI usage (install CLI, login, connect, list actions, create/run actions). It does not instruct the agent to read arbitrary files, export unrelated data, or access system secrets beyond the normal interactive login flow.
Install Mechanism
The skill is instruction-only (no install spec), but it tells users to install @membranehq/cli via npm (a public npm package). This is an expected mechanism for a CLI-based integration; verify the package and publisher before installing and be mindful of global npm installs requiring elevated privileges.
Credentials
No environment variables, primary credential, or config paths are declared or required. Authentication is handled via the Membrane CLI's interactive/browser OAuth flow, which is appropriate for this integration.
Persistence & Privilege
The skill is not always-enabled and is user-invocable. It does not request persistent system-wide changes or access to other skills' configurations in the provided instructions.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install tradogram
  3. After installation, invoke the skill by name or use /tradogram
  4. 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
Slug tradogram
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Tradogram?

Tradogram integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tradogram data. It is an AI Agent Skill for Claude Code / OpenClaw, with 119 downloads so far.

How do I install Tradogram?

Run "/install tradogram" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Tradogram free?

Yes, Tradogram is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Tradogram support?

Tradogram is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Tradogram?

It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.1.

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