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Savvycal
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
198
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install savvycal
Description
SavvyCal integration. Manage Users. Use when the user wants to interact with SavvyCal data.
Usage Guidance
This skill delegates SavvyCal API access to Membrane and asks you to install @membranehq/cli (npm) and log in with a Membrane account. Before installing, verify the @membranehq/cli package and the referenced GitHub repository (check npm package owner, recent releases, and source code) so you trust the publisher. Prefer using npx for one-off runs if you don't want a global install. Understand that SavvyCal tokens will be stored/managed by Membrane (not by this skill), so review Membrane's privacy/security docs and only proceed if you trust that service.
Capability Analysis
Type: OpenClaw Skill
Name: savvycal
Version: 1.0.3
The skill provides instructions for an AI agent to integrate with SavvyCal using the Membrane CLI. It outlines standard procedures for authentication, connection management, and action execution via the '@membranehq/cli' npm package. The instructions in SKILL.md are consistent with the stated purpose of managing scheduling data and emphasize secure credential handling through the Membrane platform rather than direct API key management. No indicators of malicious intent, data exfiltration, or harmful prompt injection were found.
Capability Assessment
Purpose & Capability
The declared purpose (SavvyCal integration) matches the instructions: the skill directs the agent to use the Membrane CLI to create a connection and run actions against SavvyCal. Requiring a Membrane account/CLI is proportionate to that purpose.
Instruction Scope
SKILL.md stays on-topic: it instructs installing/using the Membrane CLI, logging in, creating a connection for the 'savvycal' connector, discovering actions, and running them. It does not instruct reading unrelated files, exfiltrating environment variables, or sending data to unexpected endpoints.
Install Mechanism
There is no packaged install spec in the registry, but the instructions ask users to install or run @membranehq/cli from npm (global install or npx). Installing from npm is expected for a CLI-based integration but carries the usual supply-chain risk of third-party packages; the README points to a GitHub repo and official domain which helps verification.
Credentials
The skill declares no required env vars and explicitly advises not to ask users for API keys; authentication is handled via Membrane's login flow. The only credentials involved are the user's Membrane session/connection (and whatever tokens Membrane stores for SavvyCal), which is appropriate for this design.
Persistence & Privilege
Flags are default (not always-on) and there is no install script or code that modifies system/other-skill configs. The skill is instruction-only and does not request elevated or permanent agent privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install savvycal - After installation, invoke the skill by name or use
/savvycal - 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 Savvycal?
SavvyCal integration. Manage Users. Use when the user wants to interact with SavvyCal data. It is an AI Agent Skill for Claude Code / OpenClaw, with 198 downloads so far.
How do I install Savvycal?
Run "/install savvycal" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Savvycal free?
Yes, Savvycal is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Savvycal support?
Savvycal is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Savvycal?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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