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Agent Reach

Listed
panniantong·vlatest·agents·MIT

Agent-Reach identifies relevant external resources and contacts to expand task capabilities beyond internal knowledge.

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 panniantong/agent-reach --skill agent-reach -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

panniantong

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 1 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 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: r.jina.ai, www.bilibili.com, www.v2ex.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

    r.jina.aiundeclaredwww.v2ex.comundeclaredwww.bilibili.comundeclared

    What it found (3 of 14)

    • agent_reach/skill/SKILL.md:65contacts r.jina.ai
      curl -s "https://r.jina.ai/URL"
    • agent_reach/skill/SKILL_en.md:68contacts r.jina.ai
      curl -s "https://r.jina.ai/URL"
    • agent_reach/skill/references/career.md:28contacts r.jina.ai
      curl -s "https://r.jina.ai/https://linkedin.com/in/username"

  • 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.

  • 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 panniantong/agent-reach at a19a171fa9.

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

Commit
a19a171fa9
Manifest
agent_reach/skill/SKILL.md
Scanned
9 files, 1,076 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 agent-reach skill enables AI agents to discover and install additional skills from a registry, enhancing their capabilities dynamically. It provides access to a growing library of tools that can be integrated into an agent's workflow based on specific needs.

When to use it

  • When you need to expand your agent’s functionality with new tools or plugins.
  • During development when testing different skill combinations for optimal performance.
  • To quickly adapt an agent’s behavior by adding relevant skills without rewriting code.
  • In scenarios where modular and flexible AI systems are required.

Key capabilities

  • Discover available skills from a centralized registry.
  • Install and integrate new skills into the agent's environment.
  • Dynamically update agent functionality based on skill availability.

Example prompts

  • "Find and install a skill for natural language processing."
  • "Discover all available tools related to data analysis."
  • "Integrate the 'agent-reach' skill with my current AI agent setup."

Tips & gotchas

  • Ensure your environment supports dynamic module loading before using this skill.
  • Skill compatibility may vary, so test new integrations in a controlled setting first.