Agent Reach Skill · Web access

Agent Reach Skill: Give Your Agent Web Access

Route the web request to the backend that can actually serve it.

Panniantong’s MIT Agent Reach package provides a multi-platform routing Skill and CLI for supported web backends. It documents safe/default, dry-run, and explicit system-install modes plus backend health checks; login, API keys, installed tools, and platform coverage still vary by the route you choose.

View the Agent-Reach source
  • Web access
  • Platform routing
  • CLI setup

About This Skill

Agent Reach is the MIT-licensed Skill and CLI in the Panniantong/Agent-Reach repository. Panniantong is the repository owner, Neo Reid is named as the package author, and Agent Eyes appears in the LICENSE copyright notice. It routes read requests across documented platform backends, exposes health and setup checks, and distinguishes default, dry-run, and explicit system-install paths.

Built on proven foundations

Trusted Source, Professionally Refined

The original expertise stays intact. Focused refinements make it easier to start, follow the guidance, and know when the work is finished.

Original foundation

Panniantong (repository owner); Neo Reid (pyproject package author); Agent Eyes (LICENSE copyright) · commit a19a171

The original Skill knowledge, package structure, attribution and original license terms are preserved. Follow the source link to see where this edition began.

View the original project

Antigravity optimization

55 files, one clearer workflow

A source-faithful edition with the improvements explained below. The download includes the original attribution and everything needed to follow the Skill’s guidance.

More useful from the first prompt

What We Improved

Keep the depth you came for. Get clearer starting points, practical guidance and an explicit finish line.

01

A concise research and routing trigger

Start a web research request with the right route while keeping read-only and dedicated-skill boundaries in view.

02

A request contract before routing

Set up platform/backend discovery, reference routing, non-empty verification, and limitation reporting before using a backend.

03

A provenance-rich adapter handoff

Carry platform, backend, command, and login/version limits alongside a result for the next decision or reviewer.

Start with the Backend

  1. 1Name the platform or web source you need and whether the request is read-only, dry-run, or an explicit system operation.
  2. 2Install the Skill with `npx skills add Panniantong/Agent-Reach@agent-reach`, then install the package route documented for the platform you need.
  3. 3Run `agent-reach doctor`, then configure only the login, API key, or local tool required by that backend.
  4. 4Route the request and report the backend, access boundary, and any not included platform instead of treating a partial result as universal access.

Core Capabilities

Multi-platform routing

Choose among documented web and platform backends for the request instead of hard-coding one access path.

Backend health checks

Inspect whether the selected route, local tool, or login state is ready before asking it to fetch data.

CLI and Skill boundary

Keep the routing instructions connected to the package and CLI that provide the actual platform adapters.

Explicit setup modes

Distinguish safe/default, dry-run, and explicit system-install choices before changing the local setup.

Use Cases

Read a supported web source

Route a read request through the backend that has the needed platform support and credentials.

Check access before a run

Use the documented health or doctor path to find missing tools, login state, or configuration.

Platform-specific research

Keep a platform’s backend and limitations visible while an agent gathers information.

SKILL.md

# Agent Reach

This page is bound to the MIT-licensed Panniantong/Agent-Reach repository at commit a19a171fa980a0785849596492e0af4db800c82f. Panniantong owns the repository, Neo Reid is named in pyproject.toml as package author, and the captured LICENSE carries Agent Eyes copyright. The source includes a routing Skill, CLI/package configuration, and platform references. Its documented backends cover multiple platforms, but access depends on the selected route, local tools, login state, API keys, and platform availability.

The useful path is identify the platform → inspect the backend or doctor state → install/configure the required route → perform the read request → report the boundary. Safe/default, dry-run, and explicit system-install modes remain distinct. This fixture records the source identity and runtime disclosure without claiming that a backend is live here.

Frequently Asked Questions

What is Agent Reach Skill?
Agent Reach is the MIT-licensed Skill and CLI/package in the Panniantong/Agent-Reach repository. Panniantong owns the repository, Neo Reid is named as package author, and Agent Eyes appears in the LICENSE copyright notice; the package routes read requests across supported platform backends and documents health and setup modes.
Does Agent Reach give every agent instant access to every platform?
No. Platform coverage, local tools, login state, API keys, and backend availability vary. The source’s health and setup boundaries should be checked for the route you actually choose.
How do I install Agent Reach?
Install the Skill with `npx skills add Panniantong/Agent-Reach@agent-reach`, install the package route from the repository’s platform instructions, then run `agent-reach doctor` before configuring a backend. This page does not assume a host-specific login.
What are the safe and explicit setup modes?
The source distinguishes safe/default behavior, dry-run checks, and explicit system-install operations. Choose the mode that matches the request and keep local changes visible.
How do I choose an Agent Reach backend?
Start with the platform and operation mode, run the documented health or doctor check, and choose the backend whose tools and login state are ready for that request.

Discussion

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Trigger Phrases

Use these phrases to activate this skill in your AI coding assistant:

Use Agent Reach to read this web source.Check which Agent Reach backend can access this platform.Run the Agent Reach health check before researching.