Agent Reach

Community

JasonxzWen

agent-reach

Load when a task needs read-only internet research or content retrieval through an already installed Agent Reach CLI; diagnose available backends first, never install, upgrade, authenticate, configure, or copy credentials on the user's behalf.

Overview

Publisher	JasonxzWen
Repository	`harness-hub`
Skill name	`agent-reach`
Stars	71
Forks	0
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by JasonxzWen on GitHub. Read the source before you install it.

Installation

Install the Agent Reach AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/JasonxzWen/harness-hub.git /tmp/harness-hub
mkdir -p .claude/skills
cp -r /tmp/harness-hub/skills/agent-reach .claude/skills/agent-reach

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Reach in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Reach on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Reach is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Agent Reach

Use Agent Reach only as a router to read-only internet backends that already exist in the user's environment.

Availability gate

Tell the user that Agent Reach is being checked.
Run agent-reach doctor --json.
Use only a backend that the returned evidence marks active for the requested channel.
If the CLI or required backend is unavailable, report the missing user-level prerequisite. Do not claim that migration installed or configured it.
When another installed project or Host capability already owns the source, prefer that narrower capability.

Before invoking an active backend, inspect its local --help output when the exact read-only command is not already proven by the doctor result. Do not guess commands, configuration keys, or login state.

Hard boundaries

Read and search only. Do not post, comment, like, follow, submit forms, open pull requests, or perform any other remote write.
Do not run Agent Reach install, update, uninstall, configure, login, or check-update commands.
Do not install or upgrade Python, Node.js, GitHub CLI, mcporter, browser tooling, platform CLIs, system packages, or MCP servers.
Do not write ~/.agent-reach, Host global configuration, shell profiles, or credential stores.
Do not copy, export, request, or persist cookies, tokens, browser profiles, QR sessions, or other login state.
Do not weaken sandbox, approval, or repository authorization boundaries.

If an unavailable channel is still required, stop at a concise prerequisite report: missing component, why it is required, and the user-level action the user may choose to take outside Harness Hub. Continue with an already available read-only source only when it can honestly satisfy the request.

Evidence

In the final answer, distinguish:

sources actually retrieved;
channels unavailable or skipped;
authentication or dependency status reported by doctor;
any fallback source used instead.

Never infer availability from this Skill being present.

Frequently asked questions

What does the Agent Reach AI skill do?

Why use Agent Reach on TypingMind?

Because you install it once and use it with any model. Agent Reach is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Reach in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonxzWen/harness-hub/tree/main/skills/agent-reach. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Reach?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Reach?

As many as you like. As long as a model supports skills, you can use Agent Reach with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Reach AI skill free?

Yes. It is published on GitHub by JasonxzWen under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Finishing A Development Branch

obra

CommunityPopular

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

Receiving Code Review

obra

CommunityPopular

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative…

Requesting Code Review

obra

CommunityPopular

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Systematic Debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Agent Reach

Availability gate

Hard boundaries

Evidence

Frequently asked questions

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