A comprehensive validation tool for Python pyproject.toml files ensuring PEP standard compliance and tool configuration integrity.
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npx clawhub@latest install pyproject-toml-validator
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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What is Pyproject TOML Validator?
The Pyproject TOML Validator is a robust utility designed to audit Python project configuration files against PEP 517 and PEP 621 standards. As part of the Openclaw Skills ecosystem, this tool helps developers maintain high-quality metadata, valid build-system definitions, and error-free tool configurations. It performs over 30 distinct checks to identify common pitfalls in project naming, versioning, and dependency specifications.
By incorporating this skill into your development workflow, you ensure that your Python packages are ready for distribution on PyPI and compatible with modern build backends. It bridges the gap between manual editing and automated verification, providing instant feedback on everything from SPDX license identifiers to complex tool-specific rules for Ruff, MyPy, and Black.
Pyproject TOML Validator Use Cases
- Verifying that project names follow PEP 508 formatting requirements during local development.
- Automating configuration checks in CI/CD pipelines to prevent broken builds using Openclaw Skills.
- Identifying conflicting settings between linting and formatting tools like Ruff and Black.
- Auditing dependency lists for duplicates, unpinned versions, or overlapping optional groups.
How Pyproject TOML Validator Works
- The validator loads the pyproject.toml file using the Python 3.11 standard library tomllib or a compatible fallback.
- It parses the [project] table to verify mandatory fields, name formats, and dependency syntax according to PEP specifications.
- The tool checks the [build-system] section to ensure a valid backend is defined with all necessary requirements.
- It iterates through [tool.*] sections, applying specific logic to detect overlapping rules or invalid parameters for supported tools.
- Results are aggregated and reported in the chosen format (text, JSON, or summary) with a specific exit code indicating the project health.
Pyproject TOML Validator Setup
To use this validator within your project environment, execute the script directly using Python 3.10 or higher:
# Run a full validation of your configuration file
python3 scripts/pyproject_validator.py validate pyproject.toml
# For strict enforcement in automated environments
python3 scripts/pyproject_validator.py validate --strict pyproject.toml
Pyproject TOML Validator Data Schema & Taxonomy
The validator categorizes issues into three severity levels and organizes validation logic across the following schema:
| Section | Validation Focus | Key Rules |
|---|---|---|
| Project | PEP 517/621 Metadata | Name format, versioning, SPDX licenses, dynamic fields |
| Dependencies | Package Requirements | Duplicates, unpinned specs, optional group overlaps |
| Build System | Packaging Backend | Backend existence, requires-python validity |
| Tools | Third-party Configs | Ruff/Black conflicts, MyPy types, Pytest logic |
Pyproject TOML Validator Advanced Features
- Multi-format output support (JSON, text, or summary) for easy consumption by other Openclaw Skills.
- Granular validation commands to isolate checks to specific sections like project, build, or tools.
- Severity filtering via the --min-severity flag to ignore informational notes and focus on critical errors.
- Strict mode implementation which returns a non-zero exit code for any detected issue, ideal for git hooks.
SKILL.md
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