mutation-testing

mutation-testing is a skill for Claude Code from ThibautBaissac/rails_ai_agents. It costs 75 tokens per session (1,678 once invoked), scanned A, original, MIT.

A guide for mutation testing, a method that changes code in small ways to check whether tests detect the changes. It uses Mutant results to find “alive” changes that no test caught.

In plain words
What is it for?
Run mutation testing, read its reports, fix alive mutations, and check mutation coverage. It helps decide whether to add a test, simplify code, or ignore an equivalent change.
Why use it?
It helps reveal tests that pass but do not check important behavior. It also turns each missed code change into a clear testing or code-cleanup decision.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; installed under .agents/ (shared by several agents).

Good fit Run mutation testing, read its reports, fix alive mutations, and check mutation coverage. It helps decide whether to add a test, simplify code, or ignore an equivalent change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thibautbaissac/rails_ai_agents/mutation-testing
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.

Any agent
npx skills add ThibautBaissac/rails_ai_agents --skill mutation-testing
Clone the repo
git clone --depth 1 https://github.com/ThibautBaissac/rails_ai_agents

Made for: Claude Code.

Wrote 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.

agentmods badge for mutation-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/thibautbaissac/rails_ai_agents/mutation-testing.svg)](https://agentmods.dev/skills/thibautbaissac/rails_ai_agents/mutation-testing)
Your own site
<a href="https://agentmods.dev/skills/thibautbaissac/rails_ai_agents/mutation-testing"><img src="https://agentmods.dev/badge/skills/thibautbaissac/rails_ai_agents/mutation-testing.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,678 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 10
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
How audits are shown
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 5.1 $0.00075 $0.01678
Opus 5 $0.00037 $0.00839
Sonnet 5 $0.00015 $0.00336
Haiku 4.5 $0.00007 $0.00168

Measured 8d ago against content hash 9f1f143cd93a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 8d 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.

.agents/skills/mutation-testing/SKILL.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mutation Testing with Mutant

When to Activate

  • The user asks to run mutation testing.
  • The user has alive mutations to fix.
  • The user asks to verify mutation coverage on a subject.

When Not to Use

  • The task does not involve mutation testing.

Inputs

  • Alive mutation output to act on (paste the evil: block).
  • Optional: subject expression to scope the run.

Outputs (Fixed Order)

  1. Mutation results (alive count, coverage percentage).
  2. Clear action for each alive mutation: add test or simplify code.

Reading Mutation Output

An alive mutation looks like:

evil:YourClass#method:YourClass#method:lib/your_class.rb:42:abc12
@@ -1,3 +1,3 @@
 def method
-  @value >= threshold
+  @value > threshold
 end
  • evil means no test killed this mutation.
  • The diff shows original (-) and mutated (+) code.

Reporting Format (BLUF)

Lead with the verdict — bottom line up front:

If unkillable:

Unkillable. Both forms are equivalent because [reason]. Add to ignore list.

If killable:

Killable.

Option A — add test:

(test diff)

Option B — simplify code:

(source diff)

Always present both options so the user can choose. Include evidence: if you cannot think of a test that would kill the mutation, say so — that is valuable signal toward unkillable.


Usage

1. Run Mutant

bundle exec mutant run --fail-fast

When the subject is known, scope the run to avoid testing unrelated subjects:

bundle exec mutant run --fail-fast 'Entities::CreateService#call'

If the command succeeds, coverage is 100% — done. If it fails, find the evil: line in the output — it has the subject name, file path, and line number. The diff block immediately after shows the original and mutated code.

2. Investigate

Read the source file and existing spec file for the subject. Ask: "Is the mutated code acceptable for all valid inputs?"

Read the full file on GitHub · 231 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. 8d ago First seen · 231 lines · 75 tokens per session scan A 9f1f143cd93a

Subscribe to this mod's changes

mutation-testing is a skill published in the GitHub repository ThibautBaissac/rails_ai_agents (659 stars, last pushed 3mo ago), licensed MIT. It adds 75 tokens to every session and 1,678 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

neuron-evaluation-engineer

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…

neuron-core/neuron-ai · 77 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens

skill-benchmark

Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.

HoangNguyen0403/agent-skills-standard · 16 tokens