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Add Setting Env

Checked
lobehub·vlatest·ai-ml

This skill adds a specified environment variable to the conversation context, allowing for dynamic and personalized interactions.

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 lobehub/lobehub --skill add-setting-env -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

lobehub

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 lobehub/lobehub at 0b22b7f532.

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

Commit
0b22b7f532
Manifest
.agents/skills/add-setting-env/SKILL.md
Scanned
2 files, 100 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

This skill, add-setting-env, allows AI agents to configure environment variables. It can set these variables directly or use a provided file containing key-value pairs. This is useful for providing sensitive information or customizing the agent's behavior without hardcoding values into its core logic.

When to use it

  • Securely pass API keys: Instead of embedding API keys in code, use this skill to load them from an environment variable.
  • Configure database connections: Set connection strings and credentials via environment variables for different environments (development, testing, production).
  • Customize agent behavior: Adjust parameters like temperature or maximum tokens by setting environment variables that the agent can access.
  • Manage sensitive information: Keep secrets separate from code to improve security and simplify updates.

Key capabilities

  • Setting environment variables directly.
  • Loading environment variables from a file.
  • Provides a secure method for managing configuration data.

Example prompts

  • "Set the API_KEY environment variable to 'your_api_key'."
  • "Load environment variables from the file /path/to/my_env_file.txt."
  • "Configure the database connection using environment variables."

Tips & gotchas

The agent needs appropriate permissions to read files if loading from a file path. Ensure that the specified file exists and is accessible by the AI agent's execution environment.