Agent Skills › rohanpsingh/LearningHumanoidWalking › eval

eval

GitHub

用于评估已训练模型检查点的技能，支持解析路径、配置参数并运行交互式可视化。

.claude/skills/eval/SKILL.md rohanpsingh/LearningHumanoidWalking

Trigger Scenarios

用户请求评估模型性能查看训练结果可视化

Install

npx skills add rohanpsingh/LearningHumanoidWalking --skill eval -g -y

More Options

Non-standard path

npx skills add https://github.com/rohanpsingh/LearningHumanoidWalking/tree/main/.claude/skills/eval -g -y

Use without installing

npx skills use rohanpsingh/LearningHumanoidWalking@eval

指定 Agent (Claude Code)

npx skills add rohanpsingh/LearningHumanoidWalking --skill eval -a claude-code -g -y

安装 repo 全部 skill

npx skills add rohanpsingh/LearningHumanoidWalking --all -g -y

预览 repo 内 skill

npx skills add rohanpsingh/LearningHumanoidWalking --list

SKILL.md

Frontmatter

{
    "name": "eval",
    "description": "Evaluate a trained checkpoint with visualization",
    "allowed-tools": "Bash, Read, Glob",
    "argument-hint": [
        "path-or-logdir"
    ],
    "disable-model-invocation": true
}

/eval — Evaluate a Trained Checkpoint

Parse the user's request from $ARGUMENTS and run evaluation.

Command Template

uv run python run_experiment.py eval --path <PATH> [OPTIONS...]

Path Resolution

The user may provide:

A .pt file: Use directly (--path /tmp/.../actor_999.pt)
A run directory: Contains actor*.pt files (--path /tmp/.../26-03-07-00-26-36_cartpole/)
A logdir: Contains timestamped run subdirectories (--logdir /tmp/training_runs)

If no path is given, check /tmp/training_runs for the most recent run.

Use Glob to verify the path exists and resolve it before running.

Options

Flag	Default	Description
`--ep-len`	10	Episode length in seconds
`--seed`	None	Random seed for reproducible eval
`--out-dir`	None	Directory to save videos

Instructions

Resolve the model path from the user's input. If ambiguous, list available checkpoints and ask.
Show the user which checkpoint will be evaluated (full path).
Run the eval command. This opens an interactive MuJoCo viewer window — it is NOT a background job.
Report the results when done.