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python-packaging

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.

60

Quality

68%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./skills/python-packaging/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

37%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is concise and well-organized but mostly generic placeholders with no executable guidance or validation steps, and its single reference points to a file that is not present in the bundle.

Suggestions

Replace abstract instructions ('Apply relevant best practices and validate outcomes') with concrete, executable steps — e.g. actual pyproject.toml scaffolding commands, build/ twine upload commands, and a verification sequence.

Add explicit validation checkpoints for the packaging/publishing workflow (build wheel, check metadata with twine check, test-install in a clean venv before upload) so the multi-step process has feedback loops.

Either create the referenced resources/implementation-playbook.md or remove the reference, since progressive disclosure currently points to a non-existent file.

DimensionReasoningScore

Conciseness

The body is lean — short use/don't-use lists and a brief Instructions section — and assumes Claude's competence without explaining what a Python package is.

3 / 3

Actionability

Guidance is abstract — 'Apply relevant best practices and validate outcomes', 'Provide actionable steps and verification' — with no concrete commands, code, or copy-paste-ready steps.

1 / 3

Workflow Clarity

The Instructions list is generic and unsequenced, and for a packaging/publishing workflow (a risky, multi-step operation) there are no explicit validation checkpoints or feedback loops.

1 / 3

Progressive Disclosure

It signals one reference ('If detailed examples are required, open resources/implementation-playbook.md'), but that file does not exist in the bundle, so the disclosure is asserted rather than backed by real structure.

2 / 3

Total

7

/

12

Passed

Description

100%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A specific, well-triggered description that answers both what the skill does and when to use it in third person. It uses concrete terms and natural user phrasings, with low conflict risk.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI' — naming specific artifacts and the destination registry.

3 / 3

Completeness

Explicitly answers what it does (create/structure/publish packages) and when to use it via the 'Use when packaging Python libraries, creating CLI tools, or distributing Python code' trigger clause.

3 / 3

Trigger Term Quality

Covers natural terms a user would say — 'packaging Python libraries', 'CLI tools', 'publishing packages to PyPI', 'distributing Python code' — with good coverage of common phrasings.

3 / 3

Distinctiveness Conflict Risk

Scoped tightly to Python packaging with PyPI-publishing triggers, giving it a clear niche unlikely to collide with adjacent skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
rmyndharis/antigravity-skills
Reviewed

Table of Contents

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