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python-expert

Python expert for stdlib, packaging, type hints, async/await, and performance optimization

49

Quality

53%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./crates/openfang-skills/bundled/python-expert/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

57%

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

The content is a well-structured, lean knowledge skill that names specific libraries and APIs rather than explaining basics, but it offers no executable examples and has no multi-step workflow with validation checkpoints.

Suggestions

Add one or two short executable code or command snippets (e.g., a pytest parametrize example or a uv/pip-compile lockfile command) to lift actionability from guidance to copy-paste ready.

Replace the opening persona paragraph with a tighter one-line purpose statement to remove restated content and improve token efficiency.

For any workflow-like guidance (e.g., 'Profile before optimizing'), add an explicit validate/retry step so the sequence has a clear checkpoint.

DimensionReasoningScore

Conciseness

The body is mostly efficient and well-organized into bullet lists that assume Claude's competence, but the opening persona paragraph ('You are a senior Python developer with deep knowledge of...') restates the description and a few bullets explain things Claude already knows, so it could be tightened.

2 / 3

Actionability

It names concrete, specific tools and APIs (pyproject.toml, pytest fixtures, asyncio.gather(), cProfile, dataclasses, pydantic, uv, structlog, typer), which is actionable guidance, but there are no executable copy-paste code or command examples, fitting the 'some concrete guidance but incomplete' anchor.

2 / 3

Workflow Clarity

The skill is a collection of principles, techniques, and pitfalls rather than a sequenced multi-step process, so while guidance is present there are no explicit validation checkpoints or feedback loops, matching the 'steps present but checkpoints missing' level.

2 / 3

Progressive Disclosure

The skill is under 50 lines with no external bundle files and is organized into clearly labeled sections (Key Principles, Techniques, Common Patterns, Pitfalls to Avoid), which per the rubric's simple-skill note lets progressive disclosure score 3.

3 / 3

Total

9

/

12

Passed

Description

50%

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

The description is specific about Python domains but reads as a persona tagline rather than a trigger-oriented skill description. It lacks explicit 'use when' guidance, which limits its completeness and distinctiveness.

Suggestions

Add a 'Use when...' clause with concrete triggers (e.g., 'Use when writing, refactoring, or debugging Python; packaging projects with pyproject.toml/uv; adding type annotations; or working with asyncio and performance profiling').

Reframe the description as concrete actions (e.g., 'Writes, refactors, and debugs Python...') rather than the persona phrase 'Python expert for', which better matches natural user triggers.

Tighten distinctiveness by scoping the trigger terms to specific situations that would not fire for generic coding skills.

DimensionReasoningScore

Specificity

The description lists several concrete capability areas ("stdlib, packaging, type hints, async/await, and performance optimization") but frames them as domains rather than discrete actions, matching the 'Names domain and some actions' anchor rather than the 'Lists multiple specific concrete actions' level.

2 / 3

Completeness

It states what the skill does ("Python expert for stdlib, packaging, type hints, async/await, and performance optimization") but has no 'Use when...' clause or equivalent trigger guidance, which per the guidelines caps completeness at 2.

2 / 3

Trigger Term Quality

Terms like "Python", "packaging", "type hints", "async/await", and "performance optimization" are natural things users say, but coverage is missing common variations and is not exhaustive, fitting the 'some relevant keywords but missing common variations' anchor.

2 / 3

Distinctiveness Conflict Risk

"Python expert" is a broad domain that could overlap with many Python-related skills and tasks, so it is 'somewhat specific but could still overlap' rather than a clearly distinct niche.

2 / 3

Total

8

/

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
RightNow-AI/openfang
Reviewed

Table of Contents

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