Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add beel-collab/presets.dev --skill global-chat-agent-discoverygit clone --depth 1 https://github.com/beel-collab/presets.devWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/beel-collab/presets.dev/global-chat-agent-discovery)<a href="https://agentmods.dev/skills/beel-collab/presets.dev/global-chat-agent-discovery"><img src="https://agentmods.dev/badge/skills/beel-collab/presets.dev/global-chat-agent-discovery.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.00977 |
| Opus 5 | $0.00015 | $0.00489 |
| Sonnet 5 | $0.00006 | $0.00195 |
| Haiku 4.5 | $0.00003 | $0.00098 |
Grade A, and why
global-chat-agent-discovery scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- global-chat-agent-discovery — 91% identical, 17 lines differ
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Global Chat Agent Discovery
Overview
Global Chat is a cross-protocol AI agent discovery platform that aggregates MCP servers and AI agents from 6+ registries into a single searchable directory. This skill helps you find the right MCP server, A2A agent, or agents.txt endpoint for any task by searching across 18,000+ indexed entries. It also provides an MCP server (@global-chat/mcp-server) for programmatic access to the directory from any MCP-compatible client.
When to Use This Skill
- Use when you need to find an MCP server for a specific capability (e.g., database access, file conversion, API integration)
- Use when evaluating which agent registries carry tools for your use case
- Use when you want to search across multiple protocols (MCP, A2A, agents.txt) simultaneously
- Use when setting up agent-to-agent communication and need to discover available endpoints
How It Works
Option 1: Use the MCP Server (Recommended for Agents)
Install the Global Chat MCP server to search the directory programmatically from Claude Code, Cursor, or any MCP client.
npm install -g @global-chat/mcp-server
Add to your MCP client configuration:
{
"mcpServers": {
"global-chat": {
"command": "npx",
"args": ["-y", "@global-chat/mcp-server"]
}
}
}
Then ask your agent to search for tools:
Search Global Chat for MCP servers that handle PostgreSQL database queries.
Option 2: Use the Web Directory
Browse the full directory at https://global-chat.io:
- Visit the search page and enter your query
- Filter by protocol (MCP, A2A, agents.txt)
- Filter by registry source
- View server details, capabilities, and installation instructions
Option 3: Validate Your agents.txt
If you maintain an agents.txt file, use the free validator:
- Go to https://global-chat.io/validate
- Enter your domain or paste your agents.txt content
- Get instant feedback on format compliance and discoverability
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 120 lines · 30 tokens per session scan A 2c670fc5e252
global-chat-agent-discovery is a skill published in the GitHub repository beel-collab/presets.dev (2 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 977 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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