mutation-testing

A testing method that deliberately makes small changes to code and checks whether the test suite detects them. A surviving change shows a possible gap in the tests.

In plain words
What is it for?
Use it to assess tests for business rules such as payments, authentication, or validation, using tools for Python, TypeScript or JavaScript, and Go.
Why use it?
Line coverage only shows which code ran; mutation testing checks whether tests would catch common bugs in critical logic.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/andr-ca/agentharness/mutation-testing
Any agent
npx skills add andr-ca/agentharness --skill mutation-testing
Clone the repo
git clone --depth 1 https://github.com/andr-ca/agentharness

Made for: Claude Code, Codex.

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 785 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00058 $0.00785
Opus 5 $0.00029 $0.00392
Sonnet 5 $0.00012 $0.00157
Haiku 4.5 $0.00006 $0.00078

Measured yesterday against content hash 4ce1f13b053a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

.claude/skills/mutation-testing/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mutation Testing

Mutation testing verifies whether your tests detect bugs, not just whether they execute code. A "mutant" is a small deliberate change (flip > to >=, delete a return) applied to the source. If your tests pass with the mutant, they would not have caught that bug.

Deeper reference: patterns/mutation-testing/MUTATION_TESTING.md (full operator list, equivalent mutants, cost management strategies).


When to use it

  • After reaching line/branch coverage targets but before shipping critical business logic (payment, auth, data validation).
  • When a production bug slips through a test suite that claims high coverage.
  • As a periodic quality audit (weekly/monthly) rather than a per-commit gate.

When to skip: Prototype and Internal tiers; generated code; pure data classes with no conditional logic; large legacy codebases where the cost of triaging hundreds of mutants outweighs the benefit.


Mutation score

$$\text{mutation score} = \frac{\text{killed}}{\text{total} - \text{equivalent}} \times 100%$$

Score Verdict
≥ 80% Strong; surviving mutants warrant individual inspection
60–79% Adequate; identify surviving categories and add targeted tests
Below 60% Test suite quality is insufficient; line/branch percentages alone are misleading

Python — mutmut

pip install mutmut
mutmut run --paths-to-mutate src/billing.py
mutmut results          # list surviving mutants
mutmut show 15          # show the diff for mutant #15

TypeScript / JavaScript — Stryker

npm install --save-dev @stryker-mutator/core @stryker-mutator/jest-runner
npx stryker init
npx stryker run

stryker.config.js:

module.exports = {
  testRunner: 'jest',
  coverageAnalysis: 'perTest',  // only test mutants actually covered
  mutate: ['src/billing/**/*.ts'],
  thresholds: { high: 80, low: 60, break: 50 },  // break = CI gate
};

Go — gremlins

go install github.com/go-gremlins/gremlins/cmd/gremlins@latest
gremlins unleash ./internal/billing/...

Read the full file on GitHub · 107 lines

Changes

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.

  1. yesterday First seen · 107 lines · 58 tokens per session scan A 4ce1f13b053a

Subscribe to this mod's changes

mutation-testing is a skill published in the GitHub repository andr-ca/agentharness (1 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 785 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

html-ppt-zhangzara-coral

OpenDesign's community-growth campaign across GitHub, Discord, and X: the loops, the content calendar, and the pipeline math. Built as a decision-grade marketing & GTM deck for growth team, community lead.

nexu-io/open-design · 55 tokens

hr-onboarding

A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".

nexu-io/open-design · 62 tokens

html-ppt-hermes-cyber-terminal

OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.

nexu-io/open-design · 53 tokens

html-ppt-taste-brutalist

16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).

nexu-io/open-design · 78 tokens

deepstream-sop

Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via event boundary detection (GEBD) plus VLM classification. Trigger even if the…

NVIDIA/skills · 219 tokens

cupynumeric-migration-readiness

Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment…

NVIDIA/skills · 173 tokens