# io.github.dan24ou-cpu/agent-signal

> Use this tool when you need to enhance AI shopping agents with collective intelligence, providing product information, deals, and other relevant data to inform purchasing decisions. It solves problems related to product research, price comparison, and intelligent shopping recommendations. The tool takes in product queries and outputs relevant product intel, deals, and other shopping insights.

Canonical page: https://skillsregistry.net/skills/io-github-dan24ou-cpu-agent-signal  
JSON: https://api.skillsregistry.net/v1/skills/io-github-dan24ou-cpu-agent-signal

## Description

Collective intelligence for AI shopping agents — product intel, deals, and more

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.dan24ou-cpu%2Fagent-signal)
- **Repository:** <https://github.com/dan24ou-cpu/agent-signal>

## Use it

MCP endpoint published by the skill: `https://agent-signal-production.up.railway.app/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-dan24ou-cpu-agent-signal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-dan24ou-cpu-agent-signal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-dan24ou-cpu-agent-signal/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt