Skip to content
TrustedSkillsbeta
Back to all skills

X Research

Listed
b-open-io·vlatest·other

X Research extracts key information from web pages, quickly providing concise summaries and supporting data for your queries.

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 b-open-io/prompts --skill x-research --full-depth -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

b-open-io

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: api.x.ai.

    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

    api.x.aiundeclared

    What it found

    • modules/research/skills/x-research/scripts/research.sh:54contacts api.x.ai
      curl -fsS https://api.x.ai/v1/responses \
    • modules/research/skills/x-research/scripts/select-model.sh:44contacts api.x.ai
      models_json=$(curl -fsS https://api.x.ai/v1/models \

  • No obfuscated payloads: failed

    Contains 2 obfuscated or encoded payload patterns.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

    What it found

    • modules/research/skills/x-research/.clawnet/unsigned-skill.json:421616-character base64 literal
      "opReturnHex": "6a2231394878696756345179427633744870515663554551797131707a5a56646f4175744d87272d2d2d0a6e616d653a20782d72657365617263680a76657273696f6e3a20312e3…
    • modules/research/skills/x-research/.clawnet/unsigned-skill.json:216186-character base64 literal
      "packageOutputs": "[{\"lockingScriptHex\":\"76a91489c5544e82d35f70b96a12dd9f9088c2ff30a13d88ac0063036f726451186170706c69636174696f6e2f6f637465742d73747265616d0…

  • 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 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 b-open-io/prompts at 3e198cc712.

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

Commit
3e198cc712
Manifest
modules/research/skills/x-research/SKILL.md
Scanned
5 files, 526 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

The x-research skill enables AI agents to autonomously discover, install, and configure new capabilities from a registry of available skills. It streamlines the expansion of an agent's functionality by handling the technical overhead of integrating external tools or knowledge bases.

When to use it

  • You need to equip an AI agent with specialized tools without manually writing integration code.
  • Your agent requires access to a dynamic library of skills that can be updated or swapped easily.
  • You are building a multi-purpose agent that must adapt its capabilities based on user requests.
  • You want to reduce development time by leveraging pre-built, community-shared skill definitions.

Key capabilities

  • Discovery: Automatically locates relevant skills within the TrustedSkills registry.
  • Installation: Executes the necessary steps to add new skills to the agent's environment.
  • Configuration: Sets up the newly installed skills for immediate use in workflows.

Example prompts

  • "Install a web browsing skill so I can check current stock prices."
  • "Add a Python coding capability to my agent and run a quick test script."
  • "Find and install a skill that helps summarize long PDF documents."

Tips & gotchas

Ensure your AI agent has the necessary permissions to access external registries and execute installation commands. Verify that the installed skills are compatible with your specific agent framework before relying on them for critical tasks.