Skillsbench yaml-config

Use this skill when reading or writing YAML configuration files, loading vehicle parameters, or handling config file parsing with proper error handling.

install

source · Clone the upstream repo

git clone https://github.com/benchflow-ai/skillsbench

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/benchflow-ai/skillsbench "$T" && mkdir -p ~/.claude/skills && cp -r "$T/tasks/adaptive-cruise-control/environment/skills/yaml-config" ~/.claude/skills/benchflow-ai-skillsbench-yaml-config && rm -rf "$T"

manifest: tasks/adaptive-cruise-control/environment/skills/yaml-config/SKILL.md

source content

YAML Configuration Files

Reading YAML

Always use

safe_load

to prevent code execution vulnerabilities:

import yaml

with open('config.yaml', 'r') as f:
    config = yaml.safe_load(f)

# Access nested values
value = config['section']['key']

Writing YAML

import yaml

data = {
    'settings': {
        'param1': 1.5,
        'param2': 0.1
    }
}

with open('output.yaml', 'w') as f:
    yaml.dump(data, f, default_flow_style=False, sort_keys=False)

Options

```
default_flow_style=False
```
: Use block style (readable)
```
sort_keys=False
```
: Preserve insertion order
```
allow_unicode=True
```
: Support unicode characters

Error Handling

import yaml

try:
    with open('config.yaml', 'r') as f:
        config = yaml.safe_load(f)
except FileNotFoundError:
    config = {}  # Use defaults
except yaml.YAMLError as e:
    print(f"YAML parse error: {e}")
    config = {}

Optional Config Loading

import os
import yaml

def load_config(filepath, defaults=None):
    """Load config file, return defaults if missing."""
    if defaults is None:
        defaults = {}

    if not os.path.exists(filepath):
        return defaults

    with open(filepath, 'r') as f:
        loaded = yaml.safe_load(f) or {}

    # Merge loaded values over defaults
    result = defaults.copy()
    result.update(loaded)
    return result