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Requesthunt

Listed
resciencelab·vlatest·agents·Apache-2.0

Requesthunt automatically searches for relevant research requests across multiple platforms, saving you time and ensuring comprehensive coverage.

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 resciencelab/opc-skills --skill requesthunt -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

resciencelab

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 failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: requesthunt.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

    requesthunt.comundeclared

    What it found

    • skills/requesthunt/SKILL.md:14contacts requesthunt.com
      curl -fsSL https://requesthunt.com/cli | sh

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/requesthunt/SKILL.md:14remote script piped into a shell
      curl -fsSL https://requesthunt.com/cli | sh

  • 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 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.

  • Pinned to a commit: passed

    Scanned resciencelab/opc-skills at 746e247ecb.

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

Commit
746e247ecb
Manifest
skills/requesthunt/SKILL.md
Scanned
4 files, 767 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 requesthunt skill enables AI agents to search for and discover skills within a registry, such as TrustedSkills. It allows agents to query available skills based on criteria like author, category, or functionality, making it easier to find relevant tools for specific tasks.

When to use it

  • You need to locate a specific AI agent skill by name or function.
  • You are building an AI agent and want to explore available extensions or capabilities.
  • You're looking for skills in a particular category, such as data analysis or automation.
  • You want to check the popularity of a skill using metrics like install count.

Key capabilities

  • Search for skills by author, category, or name.
  • Retrieve metadata about installed skills (e.g., install count).
  • Query skills from a centralized registry.

Example prompts

  • "Find all skills in the 'data analysis' category."
  • "Show me skills authored by resciencelab."
  • "What is the install count for the requesthunt skill?"

Tips & gotchas

  • Ensure the AI agent has access to the skill registry API for accurate results.
  • Use specific criteria (like author or category) to narrow down search results and avoid overwhelming outputs.