Universal Agent Skills
Back to Collection
Tool/Research/Adapted Open Source

Agent Reach

Unified research interface and Model Context Protocol across fifteen networks.

What It Does

A Python CLI and Model Context Protocol server providing adapters for Twitter, Reddit, LinkedIn, GitHub, YouTube, Bilibili, and web searching, with credential safety checks.

Origin and Adaptation Notes

Each platform requires distinct authentication and rate limit handling. Unifying access behind one protocol simplifies research workflows.

Attribution: Adapted from Agent Eyes' open source agent-reach project. Distributed under the MIT License.

When to Activate

  • •Cross platform research across social and developer platforms
  • •Inspecting GitHub discussions, Reddit threads, and technical articles
  • •Operating as a registered MCP server in Claude or Cursor

When to Avoid

  • •Writing social media posts or submitting automated comments

Skill Specification and Runtime Setup

Full Instruction Specification
# Agent Reach Specification

## Overview
A Python CLI and Model Context Protocol server providing adapters for Twitter, Reddit, LinkedIn, GitHub, YouTube, Bilibili, and web searching, with credential safety checks.

## Rationale
Each platform requires distinct authentication and rate limit handling. Unifying access behind one protocol simplifies research workflows.

## Core Principles
* Always verify environment constraints and dependencies before executing.
* Enforce negative constraints and reject speculative abstractions.
* Validate output against stated acceptance rubrics.

## Execution Workflow
1. Discovery: Map requirements and inspect active context.
2. Decomposition: Break down the task into discrete, verifiable phases.
3. Execution: Implement surgical changes preserving existing code architecture.
4. Verification: Test all criteria before declaring completion.

Related Skills in Research