# argus-edge

> argus-edge — jamierossouw-argus-edge. Use this tool when you need to detect edge in prediction markets and optimize betting strategies, solving problems of inefficient market participation and potential losses. It takes in market data and prediction outputs, providing optimized betting recommendations as output. Ideal for use in scenarios where data-driven decision making can inform high-stakes betting decisions.

Canonical page: https://skillsregistry.net/skills/jamierossouw-argus-edge  
JSON: https://api.skillsregistry.net/v1/skills/jamierossouw-argus-edge

## Description

Argus-style prediction market edge detection and betting strategy.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jamierossouw-argus-edge)

## Use it

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": "jamierossouw-argus-edge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamierossouw-argus-edge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamierossouw-argus-edge/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