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Dce Edge

Official
vercel·vlatest·cloud·MIT

Dce Edge provides a streamlined interface for deploying and managing decentralized applications (dApps) on various blockchain networks, simplifying development workflows.

Repository

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This skill no longer installs under the name dce-edge. SKILL.md is marked internal, so the skills CLI hides it.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

vercel

Matched to the vendor's own GitHub organisation.

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 vercel/next.js at e7feae7d53.

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

Commit
e7feae7d53
Manifest
.agents/skills/dce-edge/SKILL.md
Scanned
1 file, 67 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.
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About this skill

The dce-edge skill enables AI agents to interact with and manage Vercel's Edge Config, allowing dynamic updates to environment variables and feature flags without redeploying code. It streamlines the deployment pipeline by providing direct access to configuration endpoints for Next.js applications hosted on the Edge network.

When to use it

  • Dynamically toggle feature flags or A/B test configurations in production environments.
  • Update sensitive API keys or secrets at runtime without triggering a full application rebuild.
  • Manage multi-region deployments by adjusting edge-specific variables based on geographic location.
  • Integrate with CI/CD pipelines to automate configuration changes alongside code commits.

Key capabilities

  • Read and modify Edge Config values programmatically via API.
  • Support for Next.js 13+ applications leveraging the Vercel Edge Runtime.
  • Secure handling of environment variables with scoped access controls.
  • Real-time synchronization between agent actions and live application state.

Example prompts

  • "Update the API_KEY in my Vercel Edge Config to the new value provided."
  • "List all current feature flags configured for this Next.js project on the edge."
  • "Toggle the ENABLE_DARK_MODE flag off for users in the EU region only."

Tips & gotchas

Ensure your AI agent has appropriate API keys with write permissions before attempting configuration changes. Changes made through Edge Config take effect immediately but may require cache invalidation depending on your application's caching strategy.