Pytest Fixture Generator
- Repo stars 0
- Author updated Live
- Author repo skills-registry
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @tomevault-io · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- Python >=3.10
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools，默认拥有全部工具权限。
---
name: Pytest Fixture Generator
description: Requirements and caveats from upstream: Basic usage or getting-started notes: <!-- tomevault:4.0…
category: ai
runtime: Python
---
# Pytest Fixture Generator output preview
## PART A: Task fit
- Use case: Requirements and caveats from upstream: Basic usage or getting-started notes: <!-- tomevault:4.0:skill_md:2026-05-22 --> runs entirely locally; runs on Python >=3.10. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Prerequisites / Installation / Documentation” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Requirements and caveats from upstream: Basic usage or getting-started notes: <!-- tomevault:4.0:skill_md:2026-05-22 --> runs entirely locally; runs on Python >=3.10. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Prerequisites / Installation / Documentation” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Prerequisites / Installation / Documentation”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: Pytest Fixture Generator
description: Requirements and caveats from upstream: Basic usage or getting-started notes: <!-- tomevault:4.0…
category: ai
source: tomevault-io/skills-registry
---
# Pytest Fixture Generator
## When to use
- Pytest Fixture Generator Requirements and caveats from upstream: .. code-block:: python <https://docs.pytest.org/en/st…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Prerequisites / Installation / Documentation” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies.The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "Pytest Fixture Generator" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Prerequisites / Installation / Documentation
rules -> SKILL.md triggers / order / output contract
runtime -> Python | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
}Pytest Fixture Generator
Prerequisites
Python
Installation
Requirements and caveats from upstream:
- .. code-block:: python
- https://docs.pytest.org/en/stable/explanation/goodpractices.html#python-test-discovery_
- Python 3.10+ or PyPy3
Basic usage or getting-started notes:
An example of a simple test:
Thanks to pytest's detailed assertion introspection, you can simply use plain assert statements. See getting-started https://docs.pytest.org/en/stable/getting-started.html#our-first-test-run_ for more examples.
Can run unittest https://docs.pytest.org/en/stable/how-to/unittest.html_ (or trial)
Extracted from upstream docs: https://raw.githubusercontent.com/pytest-dev/pytest/HEAD/README.rst
Documentation
Source
Source: agentskillexchange/skills — distributed by TomeVault.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review