Borrowing it
Nothing to install: this file belongs to calf-ai/calfkit-sdk. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/calf-ai/calfkit-sdk/main/.agents/skills/pytest-coverage/SKILL.mdgit clone --depth 1 https://github.com/calf-ai/calfkit-sdkWrote 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/calf-ai/calfkit-sdk/pytest-coverage)<a href="https://agentmods.dev/skills/calf-ai/calfkit-sdk/pytest-coverage"><img src="https://agentmods.dev/badge/skills/calf-ai/calfkit-sdk/pytest-coverage.svg" alt="Measured on agentmods" 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 | $0.00022 | $0.00261 |
| Opus 5 | $0.00011 | $0.00130 |
| Sonnet 5 | $0.00004 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
pytest-coverage 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- pytest-coverage — 100% identical, 0 lines differ
What it actually says
The goal is for the tests to cover all lines of code.
Generate a coverage report with:
pytest --cov --cov-report=annotate:cov_annotate
If you are checking for coverage of a specific module, you can specify it like this:
pytest --cov=your_module_name --cov-report=annotate:cov_annotate
You can also specify specific tests to run, for example:
pytest tests/test_your_module.py --cov=your_module_name --cov-report=annotate:cov_annotate
Open the cov_annotate directory to view the annotated source code. There will be one file per source file. If a file has 100% source coverage, it means all lines are covered by tests, so you do not need to open the file.
For each file that has less than 100% test coverage, find the matching file in cov_annotate and review the file.
If a line starts with a ! (exclamation mark), it means that the line is not covered by tests. Add tests to cover the missing lines.
Keep running the tests and improving coverage until all lines are covered.
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.
- 7d ago First seen · 29 lines · 22 tokens per session scan A 3778add8809c
pytest-coverage is a skill published in the GitHub repository calf-ai/calfkit-sdk (146 stars, last pushed 6d ago), licensed Apache-2.0. It adds 22 tokens to every session and 261 once invoked, about $0.0001 per session on Opus 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.
Other skills, from other repositories
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Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
python-testing
Guidelines for writing and running tests in the Agent Framework Python codebase. Use this when creating, modifying, or running tests.
adk-verify-snippets
Checks that every Python code block in a Markdown file actually compiles and runs, by extracting each block to a temporary file, executing it in an isolated subprocess, and writing a pass/fail report with per-snippet coverage. Use when the user asks to verify, test, or validate the code samples in a README, a guide…
adk-setup
Sets up a local ADK Python development environment in a git clone of the open-source adk-python repository: a uv virtual environment, all dependency extras, pre-commit hooks, and a first unit-test run. Runs only when explicitly requested, never on its own. Use when asked to set up, bootstrap, or repair a development…
python-providers
Create, modify, test, or package Python provider adapters under python/providers, including framework-specific dependencies, public imports, type inference, and provider metadata. Use for Python provider work only; use python-sdk for core SDK changes.
test-generator
Generate pytest test cases for Python functions and classes.