Quicknode
ListedQuicknode generates random, unique token slugs for your projects instantly, saving you time and ensuring distinct identifiers.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add sendaifun/skills --skill quicknode -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
sendaifun
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.quicknode.com, quicknode.quicknode-ipfs.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
api.quicknode.comundeclaredquicknode.quicknode-ipfs.comundeclaredWhat it found (3 of 18)
- skills/quicknode/SKILL.md:428contacts api.quicknode.com
const response = await fetch("https://api.quicknode.com/ipfs/rest/v1/s3/put-object", { - skills/quicknode/SKILL.md:514contacts api.quicknode.com
const res = await fetch("https://api.quicknode.com/v0/endpoints", { - skills/quicknode/SKILL.md:520contacts api.quicknode.com
const usage = await fetch("https://api.quicknode.com/v0/usage/rpc", {
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned sendaifun/skills at 06b36b8b42.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 06b36b8b42
- Manifest
- skills/quicknode/SKILL.md
- Scanned
- 13 files, 3,850 lines
About this skill
What it does
The quicknode skill provides a streamlined way to create and manage nodes within an AI agent's workflow. It simplifies the process of defining node properties, connections, and execution order. This allows for more complex and structured task orchestration compared to simpler sequential approaches.
When to use it
- Complex Workflows: When your AI agent needs to perform multiple tasks with dependencies or branching logic.
- Visualizing Task Flow: To create a clear visual representation of the steps involved in an agent's process.
- Modular Agent Design: For building agents from reusable components, where each component is represented as a node.
- Dynamic Task Sequencing: When the order or execution of tasks needs to be determined at runtime based on conditions.
Key capabilities
- Node creation and management
- Defining node properties
- Establishing connections between nodes
- Workflow visualization
Example prompts
- "Create a new node called 'Fetch Data' that retrieves data from the internet."
- "Connect the 'Process Data' node to the output of the 'Fetch Data' node."
- "Show me a visual representation of my agent’s workflow, highlighting all nodes and connections."
Tips & gotchas
The quicknode skill is most effective when used with an agent framework that supports structured workflows. Ensure your agent environment can handle the data flow and dependencies defined by the nodes.