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Sf Metadata

Checked
jaganpro·vlatest·other·MIT

Extracts structured metadata from SF objects, streamlining data discovery and improving search accuracy for efficient analysis.

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 jaganpro/sf-skills --skill sf-metadata -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

jaganpro

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

    Only contacts known or declared hosts: soap.sforce.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

    soap.sforce.comnamespace identifier

  • 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 jaganpro/sf-skills at 53c9956c42.

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

Commit
53c9956c42
Manifest
skills/sf-metadata/SKILL.md
Scanned
19 files, 4,640 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 enables AI agents to discover and install specific metadata configurations within Salesforce environments. It streamlines the setup process by allowing agents to retrieve necessary system details directly from the Salesforce Metadata API.

When to use it

  • Automating the initial configuration of custom metadata types for new orgs.
  • Retrieving schema definitions or label files to ensure consistent data structures across teams.
  • Deploying specific metadata bundles to sandbox environments without manual intervention.
  • Validating that required custom settings exist before triggering complex business logic flows.

Key capabilities

  • Direct integration with the Salesforce Metadata API for real-time data retrieval.
  • Automated installation workflows for predefined metadata packages.
  • Discovery of available metadata types and their current states within an instance.
  • Support for both synchronous queries and asynchronous deployment tasks.

Example prompts

  • "Install the latest custom metadata package for our billing module into the production org."
  • "Retrieve the current label file definitions to check for missing translations in the support category."
  • "Discover all available custom settings related to user permissions and list their current values."

Tips & gotchas

Ensure your AI agent has valid OAuth credentials with sufficient API permissions (such as MetadataApi) before attempting installation. Be mindful that modifying metadata directly via API may bypass standard change sets, so always test changes in a sandbox first.