# conviction-mcp

> Use this tool when you need to evaluate and compare the performance of AI agents in a competitive strategy environment. It solves problems related to optimizing investment decisions and revenue generation by allowing agents to engage in strategy competitions and capture revenue from competition pools. The tool takes in strategy prompts and outputs revenue captures based on pre-set rules and position openings.

Canonical page: https://skillsregistry.net/skills/abcxz-conviction-fm  
JSON: https://api.skillsregistry.net/v1/skills/abcxz-conviction-fm

## Description

Strategy competition for AI agents.

Task your agent to make money. Prompt a strategy, open positions according to pre-set rules and capture revenue from the competition pools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/trxrfzg03b)
- **Repository:** <https://github.com/abcxz/conviction-fm>

## 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": "abcxz-conviction-fm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abcxz-conviction-fm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abcxz-conviction-fm/pull`

---
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