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Gifgrep

Checked
openclaw·v2026.3.2·video-media·MIT

Search GIF providers with CLI/TUI, download results, and extract stills/sheets.

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ openclaw skills install gifgrep

What we know about this skill

Publisher

openclaw

Taken from the source listing. We haven't verified who controls this account.

Install target

Pinned to 7b5e64ef

Installs fetch a stored snapshot of that commit, so the code can't change after the fact.

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 openclaw/openclaw at f12a8dee23.

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

Scanned
1 file, 86 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

OpenClaw is a personal AI assistant designed to operate locally on user devices. It facilitates communication across various messaging platforms like WhatsApp, Telegram, and Slack, offering a fast and always-on experience. The system includes the ability to speak and listen via macOS/iOS/Android and render a live Canvas controlled by the user.

When to use it

  • Need an AI assistant that doesn't rely on external servers for privacy or speed.
  • Want to communicate with your AI across multiple messaging platforms (WhatsApp, Slack, etc.).
  • Desire a locally-run assistant with voice and visual interaction capabilities (Canvas).
  • Prefer a personal, single-user assistant experience.

Key capabilities

  • Cross-platform communication (WhatsApp, Telegram, Slack, Discord, etc.)
  • Local operation for privacy and speed
  • Voice input/output via macOS/iOS/Android
  • Live Canvas rendering for visual interaction

Example prompts

  • "OpenClaw, what's the weather like today?"
  • "Send a message to [contact name] saying 'I’ll be late.'"
  • "Show me the Canvas."

Tips & gotchas

  • The preferred setup method is running openclaw onboard in your terminal. This guides you through initial configuration.