# ham.run

> ham.run — hamrun-hamrun. Use this tool when you need to optimize your endurance running performance or analyze your training data. It provides 12 calculators, including race time prediction, pacing strategy, and fueling plans, to help solve problems such as inadequate preparation, poor pacing, and insufficient nutrition. With Strava-connected tools and citation-backed models, it offers data-driven insights with simple, stateless input and output interfaces.

Canonical page: https://skillsregistry.net/skills/hamrun-hamrun  
JSON: https://api.skillsregistry.net/v1/skills/hamrun-hamrun

## Description

Open-source marathon physiology calculators for endurance runners. 12 tools: race time prediction (Riegel model), pacing strategy, fueling plans, running economy analysis, caffeine protocols, heat acclimation planning, periodization comparison, and grade-adjusted pace. Strava-connected tools for training load and activity analysis. All models are citation-backed from peer-reviewed exercise physiology research. Stateless tools work without authentication at ham.run.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-21

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/hamrun/hamrun)

## 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": "hamrun-hamrun"
    }
  }
}
```

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