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gora050

Reward Sciences

by Vlad Ursul · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ⚠ suspicious
231
Downloads
0
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0
Active Installs
4
Versions
Install in OpenClaw
/install reward-sciences
Description
Reward Sciences integration. Manage Persons, Organizations, Deals, Leads, Projects, Activities and more. Use when the user wants to interact with Reward Scie...
Usage Guidance
This skill appears coherent and does what it says: it relies on the Membrane CLI to broker access to Reward Sciences. Before installing/using it, consider: 1) Vet the @membranehq/cli package and its publisher (npm page, repo, recent activity, reviews) before installing globally; use the provided npx examples if you prefer not to install globally. 2) Understand that you are delegating credential management to Membrane — review their privacy/security practices and terms. 3) In headless environments you'll need to perform the OAuth browser step (obtain and paste the code) — avoid pasting codes from untrusted sources. 4) Because the skill requires network access and a Membrane account, ensure your environment/network policies permit that outbound access. If you need more assurance, provide the package name and repository URL and verify its source code before installing.
Capability Analysis
Type: OpenClaw Skill Name: reward-sciences Version: 1.0.3 The skill bundle (SKILL.md) instructs the agent to perform high-risk system operations, including installing a global NPM package (@membranehq/cli) and executing shell commands to manage authentication and data via the Membrane platform. While these actions are aligned with the stated purpose of integrating with Reward Sciences, the requirement for global package installation and the execution of external binaries (membrane CLI) without local source code visibility constitutes a significant risk profile and potential attack surface.
Capability Assessment
Purpose & Capability
Name/description match the runtime instructions: the SKILL.md describes interacting with Reward Sciences via the Membrane CLI, creating connections, listing/creating actions, and running them. Nothing requested (no env vars, no config paths) is unrelated to this purpose.
Instruction Scope
Instructions are scoped to using the Membrane CLI (login, connect, action list/create/run). They do not instruct reading arbitrary local files, exporting unexpected data, or accessing unrelated credentials. Headless login flow requires the user to paste a code, which is normal for CLI OAuth flows.
Install Mechanism
The SKILL.md recommends installing @membranehq/cli globally via npm (or using npx in one example). There is no install spec in the manifest (instruction-only skill). Installing a global npm package writes to the system and requires trusting that package/publisher; this is expected for a CLI-based integration but users should vet the package and prefer npx when possible.
Credentials
The skill declares no required environment variables or credentials and explicitly advises not to ask users for API keys (Membrane manages auth server-side). The only external requirement is a Membrane account and network access, which is proportionate to the described functionality.
Persistence & Privilege
always is false and there are no instructions to modify other skills or global agent configs. The skill does not request persistent system privileges beyond using the Membrane CLI when installed by the user.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install reward-sciences
  3. After installation, invoke the skill by name or use /reward-sciences
  4. 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
Slug reward-sciences
Version 1.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Reward Sciences?

Reward Sciences integration. Manage Persons, Organizations, Deals, Leads, Projects, Activities and more. Use when the user wants to interact with Reward Scie... It is an AI Agent Skill for Claude Code / OpenClaw, with 231 downloads so far.

How do I install Reward Sciences?

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

Is Reward Sciences free?

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

Which platforms does Reward Sciences support?

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

Who created Reward Sciences?

It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.

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