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 jukanntenn/glm-plan-usage --skill pytestgit clone --depth 1 https://github.com/jukanntenn/glm-plan-usageWrote 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/jukanntenn/glm-plan-usage/pytest)<a href="https://agentmods.dev/skills/jukanntenn/glm-plan-usage/pytest"><img src="https://agentmods.dev/badge/skills/jukanntenn/glm-plan-usage/pytest/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/jukanntenn/glm-plan-usage/pytest"><img src="https://agentmods.dev/badge/skills/jukanntenn/glm-plan-usage/pytest.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 | $0.00020 | $0.00404 |
| Opus 5.5 | $0.00008 | $0.00162 |
| Sonnet 5.5 | $0.00004 | $0.00081 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
pytest 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 2mo 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.
What it actually says
Skill: pytest
Best practices for writing and organizing tests with pytest including fixtures, parametrize, and plugins.
When to Use
Apply this skill when writing and organizing tests with pytest — fixtures, parametrize, markers, plugins, and test structure.
Test Organization
- Place tests in a
tests/directory mirroring the source structure. - Name test files
test_<module>.pyand test functionstest_<behavior>(). - Group related tests in classes only when they share fixtures/setup.
Fixtures
- Define fixtures at the narrowest scope needed (
function>class>module>session). - Use
conftest.pyfor shared fixtures; put it at the appropriate directory level. - Prefer factory fixtures over complex fixture inheritance.
- Use
yieldfixtures for setup/teardown; prefertmp_pathovertempfile.
Parametrize
- Use
@pytest.mark.parametrizefor data-driven tests with multiple inputs. - Give test IDs (
ids=...) for readable test output. - Combine
parametrizewith fixtures for cross-product testing.
Assertions
- Use plain
assertstatements — pytest rewrites them for clear failure messages. - Use
pytest.raises(ExceptionType, match=...)for exception testing. - Use
pytest.approx()for floating-point comparisons.
Plugins
- Common plugins:
pytest-cov,pytest-mock,pytest-asyncio,pytest-xdist,pytest-timeout. - Use
pytest-mock'smockerfixture over rawunittest.mock.patch.
Pitfalls
- Don't use
session-scoped fixtures for mutable state. - Don't assert on implementation details — test observable behavior.
- Avoid test interdependence; each test should be runnable in isolation.
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.
- 2mo ago First seen · 49 lines · 20 tokens per session scan A badfc1272ceb
pytest is a skill published in the GitHub repository jukanntenn/glm-plan-usage (14 stars, last pushed 4mo ago), licensed MIT. It adds 20 tokens to every session and 404 once invoked, about $0.0001 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 2026-08-30.
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