# alpnai-agent-kit

> alpnai-agent-kit — fredericmagnathy-ops-alpnai-agent-kit. Use this tool when you need to analyze and optimize AI model performance, ensuring deterministic cost, latency, and quality metrics. It provides reproducible examples, integrates with API/MCP, and delivers detailed reports, making it ideal for authorized AI agents. Input your AI models and parameters to receive actionable insights and outputs for informed decision-making.

Canonical page: https://skillsregistry.net/skills/fredericmagnathy-ops-alpnai-agent-kit  
JSON: https://api.skillsregistry.net/v1/skills/fredericmagnathy-ops-alpnai-agent-kit

## Description

ALPNAI tools for authorized AI agents: deterministic cost, latency and quality analysis, reproducible examples, API/MCP integration and report delivery.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/fredericmagnathy-ops/alpnai-agent-kit)

## 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": "fredericmagnathy-ops-alpnai-agent-kit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fredericmagnathy-ops-alpnai-agent-kit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fredericmagnathy-ops-alpnai-agent-kit/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