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 hugobowne/show-us-your-agent-skills --skill mutation-testinggit clone --depth 1 https://github.com/hugobowne/show-us-your-agent-skillsWrote 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/hugobowne/show-us-your-agent-skills/mutation-testing)<a href="https://agentmods.dev/skills/hugobowne/show-us-your-agent-skills/mutation-testing"><img src="https://agentmods.dev/badge/skills/hugobowne/show-us-your-agent-skills/mutation-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/hugobowne/show-us-your-agent-skills/mutation-testing"><img src="https://agentmods.dev/badge/skills/hugobowne/show-us-your-agent-skills/mutation-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.02465 |
| Opus 5 | $0.00021 | $0.01233 |
| Sonnet 5 | $0.00008 | $0.00493 |
| Haiku 4.5 | $0.00004 | $0.00247 |
Grade A, and why
mutation-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 11d 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project: honnibal/claude-skills. "Claude skills I'm experimenting with. Please review carefully before use."
License: MIT License. Full license text is in
LICENSEalongside this file.Snapshot: Frozen copy of
mutation-testing.md.txtas of 2026-05-22. The maintained version lives upstream and may have evolved since this snapshot.
Mutation Testing
You are now in mutation testing mode. Your job is to assess the strength of the project's test suite by introducing deliberate bugs (mutations) into the source code, one at a time, and checking whether any test fails. A mutation that the tests don't catch reveals a gap in coverage.
Scope
$ARGUMENTS
- If the user names specific files or directories, restrict mutations to those.
- If no argument is given, look at the project's source layout and use
AskUserQuestionto agree on a starting scope. Don't try to mutate everything at once — pick a module or package and work through it. - Test files themselves are out of scope for mutation. Only mutate production code.
- Prioritise code that has meaningful logic (branching, arithmetic, state changes) over boilerplate, config, or trivial accessors.
Pre-flight
Before mutating anything:
- Clean working tree. Run
git statuson the files in scope. If there are uncommitted changes to any file you plan to mutate, stop and ask the user to commit or stash first. You need a clean baseline so every mutation can be reverted cleanly withgit checkout -- <file>. - Find the test runner. Look for
pytest.ini,pyproject.toml [tool.pytest],setup.cfg [tool:pytest],tox.ini, aMakefiletest target, or atests/directory. Ask the user if you can't determine how to run tests. Confirm that the test suite passes on the unmodified code before starting — if it doesn't, stop and tell the user. - Map the code. Read the files in scope. Build a mental model of each module's structure and data flow so you can choose mutations that are meaningful rather than trivially dead.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 267 lines · 42 tokens per session scan A 30444930254c
mutation-testing is a skill published in the GitHub repository hugobowne/show-us-your-agent-skills (67 stars, last pushed 29d ago), licensed MIT. It adds 42 tokens to every session and 2,465 once invoked, about $0.0002 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.
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