Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add JakubMikolajek/codex-skills-collection --skill python-testinggit clone --depth 1 https://github.com/JakubMikolajek/codex-skills-collectionWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jakubmikolajek/codex-skills-collection/python-testing)<a href="https://agentmods.dev/skills/jakubmikolajek/codex-skills-collection/python-testing"><img src="https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/python-testing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jakubmikolajek/codex-skills-collection/python-testing"><img src="https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/python-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.01766 |
| Opus 5.5 | $0.00023 | $0.00706 |
| Sonnet 5.5 | $0.00012 | $0.00353 |
| Haiku 4.5 | $0.00006 | $0.00177 |
Grade A, and why
python-testing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Testing Patterns
Use this skill for writing tests that are deterministic, fast, and maintainable. The bias is toward testing behavior, not implementation — tests should survive refactoring.
Delivery Workflow
Python Testing progress:
- [ ] Step 1: Discover existing test structure, fixtures, and conventions
- [ ] Step 2: Identify what to test — behavior, not internals
- [ ] Step 3: Write fixtures for shared setup and teardown
- [ ] Step 4: Implement tests with clear arrange/act/assert structure
- [ ] Step 5: Verify coverage of happy path, error cases, and edge cases
Test Organization
- Mirror the source package structure:
src/app/services/doc.py→tests/services/test_doc.py. - Use
conftest.pyfor shared fixtures scoped to the directory they serve. - Keep test files focused on one module or class.
- Name tests after the behavior they verify:
test_create_document_returns_201nottest_route. - Group related tests in a class only when they share fixture setup; otherwise use top-level functions.
Fixtures
- Prefer function-scoped fixtures (the default) unless shared setup is genuinely expensive.
- Use
session-scoped fixtures for external connections (DB, Docker containers) to avoid repeated startup cost. - Use
yieldfixtures for resources requiring teardown. - Use
pytest-factoryboyor manual factory functions for domain object creation — avoid duplicating object construction in every test.
import pytest
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
@pytest.fixture(scope="session")
def engine():
return create_async_engine("postgresql+asyncpg://test:test@localhost/testdb")
@pytest.fixture
async def db(engine) -> AsyncGenerator[AsyncSession, None]:
async with AsyncSession(engine) as session:
yield session
await session.rollback()
Async Tests
- Use
pytest-asynciowithasyncio_mode = "auto"inpytest.iniorpyproject.tomlto avoid per-test@pytest.mark.asynciodecoration. - Do not mix sync and async fixtures carelessly — use
anyiobackend fixtures when both are needed. - Never use
asyncio.run()inside test functions — let pytest-asyncio handle the event loop.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 194 lines · 58 tokens per session scan A 7e05bb717485
python-testing is a skill published in the GitHub repository JakubMikolajek/codex-skills-collection (6 stars, last pushed 19d ago), licensed MIT. It adds 58 tokens to every session and 1,766 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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