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Niftyimages
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
167
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install niftyimages
Description
NiftyImages integration. Manage Accounts. Use when the user wants to interact with NiftyImages data.
Usage Guidance
This skill appears internally consistent: it tells the agent to use the Membrane CLI to broker access to NiftyImages rather than asking for API keys locally. Before installing/using it, confirm you trust the Membrane service (https://getmembrane.com) because Membrane will act as a broker for credentials and may see request/response data; review Membrane's privacy/security docs. When installing: prefer pinning a specific CLI version instead of @latest, and consider installing the CLI in an isolated or sandboxed environment if you have sensitive data. If you need higher assurance, inspect the @membranehq/cli package source on GitHub/NPM and verify the connector behavior and what data is sent to Membrane during a connector creation or action run.
Capability Analysis
Type: OpenClaw Skill
Name: niftyimages
Version: 1.0.3
The skill bundle provides standard instructions for an AI agent to interact with NiftyImages using the Membrane CLI. It includes commands for installation, authentication, and action management (e.g., `membrane login`, `membrane connect`, and `membrane action run`) which are consistent with the stated purpose. No evidence of data exfiltration, malicious execution, or prompt injection was found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The name/description (NiftyImages integration) align with the runtime instructions, which exclusively describe using the Membrane CLI to create connections and run actions against NiftyImages. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md only instructs installing and using the Membrane CLI (login, connect, action list/create/run) and how to operate in headless environments. It does not instruct reading arbitrary files, accessing unrelated environment variables, or transmitting data to external endpoints other than the expected Membrane/NiftyImages flow.
Install Mechanism
The doc recommends installing @membranehq/cli via npm (npm install -g @membranehq/cli@latest). This is a standard package install for a CLI-based integration and uses a public package registry rather than an untrusted download URL; no install spec is embedded in the skill itself (instruction-only).
Credentials
The skill declares no required environment variables or credentials. It relies on the Membrane login flow for authentication, which is appropriate for a brokered connector. There are no unrelated or excessive credential requests.
Persistence & Privilege
The skill is not forced-always, is user-invocable, and allows normal autonomous invocation (platform default). It does not request persistent system modifications or access to other skills' configurations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install niftyimages - After installation, invoke the skill by name or use
/niftyimages - 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 Niftyimages?
NiftyImages integration. Manage Accounts. Use when the user wants to interact with NiftyImages data. It is an AI Agent Skill for Claude Code / OpenClaw, with 167 downloads so far.
How do I install Niftyimages?
Run "/install niftyimages" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Niftyimages free?
Yes, Niftyimages is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Niftyimages support?
Niftyimages is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Niftyimages?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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