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Tavily Best Practices

Checked
tavily-ai·vlatest·agents·MIT

Ensures Tavily AI agents adhere to optimal prompting strategies and best practices for reliable results.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add tavily-ai/skills --skill tavily-best-practices -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

tavily-ai

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 tavily-ai/skills at 778122e5f9.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
778122e5f9
Manifest
skills/tavily-best-practices/SKILL.md
Scanned
7 files, 2,380 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The tavily-best-practices skill provides guidance and recommendations on how to effectively use AI agents, ensuring optimal performance, security, and ethical compliance. It includes insights into best practices for deploying, training, and interacting with AI systems.

When to use it

  • When setting up a new AI agent and looking for guidelines on configuration and usage.
  • When troubleshooting issues related to AI agent behavior or output quality.
  • When seeking advice on ethical considerations in AI deployment.
  • When optimizing an existing AI system for better performance or user experience.

Key capabilities

  • Offers actionable best practices for AI agent development and use
  • Includes recommendations for secure and ethical AI implementation
  • Provides guidance on improving AI agent performance and reliability

Example prompts

  • "What are the best practices for training a new AI agent?"
  • "How can I ensure my AI agent follows ethical guidelines?"
  • "What steps should I take to improve the accuracy of my AI system?"

Tips & gotchas

  • This skill is most useful when combined with specific AI agent tools or frameworks.
  • The recommendations may vary depending on the use case, so review and adapt them accordingly.