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Mutation Testing

Trail of BitsOfficialPublished by Trail of Bits

  • Skill
  • Tool integration
  • Software development
  • CC-BY-SA-4.0
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From the author

Configures mewt or muton campaigns, analyzes surviving mutants, and investigates bugs exposed by testing gaps. Use when setting up mutation testing, reviewing campaign results, identifying equivalent mutants, or finding bugs from surviving mutations.
— the description by Trail of Bits

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to mutation testing using the mewt or muton tools. It guides users through the entire lifecycle of a mutation testing campaign, from initial configuration and execution to the analysis of surviving mutants. By systematically injecting faults into source code and observing test behavior, it helps developers distinguish between equivalent mutants and genuine testing gaps, ultimately revealing bugs that standard coverage metrics might miss.

What it does

  • Configures and executes mutation testing campaigns via mewt or muton.
  • Provides commands to filter, inspect, and re-test specific mutants.
  • Categorizes mutation results into caught, uncaught, timeout, or skipped outcomes.
  • Offers a framework for identifying equivalent mutants to reduce false positives.
  • Prioritizes investigation based on mutation severity and language-specific patterns.
  • Supports advanced analysis for blockchain-specific constructs like Solidity and Move.

When to use it

  • When you need to validate the effectiveness of your existing test suite.
  • When you want to identify untested code paths or weak assertions.
  • When you need to analyze why specific mutants survived your test execution.
  • When you are working on a project that requires high-assurance testing, such as blockchain smart contracts.

Advantages

  • Uncovers subtle bugs that traditional line coverage metrics fail to detect.
  • Provides a clear, actionable workflow for triaging and resolving surviving mutants.
  • Reduces noise by helping developers identify and ignore semantically equivalent mutants.
  • Enables targeted re-testing of specific code segments to verify fixes.

Usage examples

“Run a mutation testing campaign on the src/auth directory.”
The agent will execute the mutation campaign specifically targeting the auth module and provide a summary of the results.
“Show me all uncaught mutants in the current project.”
The agent will list the surviving mutants, allowing you to investigate potential testing gaps.
“How do I investigate a high-severity surviving mutant?”
The agent will guide you through inspecting the mutated code and suggest how to write a test to catch it.
“Is this mutant equivalent to the original code?”
The agent will apply the verification procedure to help you determine if the mutation is semantically identical or a genuine testing gap.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/trailofbits/mutation-testing/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip mutation-testing.zip -d .agents/skills

Documentation by Trail of Bits

Mutation Testing (mewt/muton)

Routes to the right mutation testing workflow and loads the references that workflow needs.

Note: muton and mewt share identical interfaces. Examples use mewt; substitute muton and its file names (muton.toml, muton.sqlite) for muton projects.

mewt --help and mewt <subcommand> --help are the source of truth for command-line behavior. Examples below reflect the mewt 4.x API; run --help when a flag looks unfamiliar or a command fails.

When to Use

Use this skill when the user:

  • Mentions "mewt", "muton", or "mutation testing"

  • Wants to configure, scope, or speed up a mutation testing campaign

  • Wants to analyze mutation results — surviving/uncaught mutants, equivalent mutants, kill rate

  • Wants to use mutation results to find bugs in the source code

When NOT to Use

Do not use this skill when the user asks about tests or line coverage without any mutation testing context.


Routing

Pick the workflow, then load it together with the references listed for it. Workflows and references do not load each other — that decision belongs here.

Setting up, scoping, or speeding up a campaign → workflows/configuration.md → Also load references/optimization-strategies.md when the campaign estimate is long enough to need trimming, or the user asks to make it faster.

Campaign finished, hunting for bugs in untested code → workflows/bug-hunter.md

Turning results into a formal analysis report → workflows/analyzing-results.md, plus:

Anything else → run mewt --help or mewt <subcommand> --help, then assist directly.


Essential Commands

# Set up and run
mewt init                    # Create config and database
mewt mutate [paths]          # Generate mutants without testing them
mewt run [paths]             # Generate mutants and run the campaign

# Read results
mewt status                  # Overview with per-file breakdown
mewt results                 # Uncaught mutants (default view)
mewt results --all           # Every outcome, not just uncaught
mewt results --format json   # json | sarif | ids | table

# Narrow down (these filters work on both `results` and `print mutants`)
mewt results --target 'src/auth/**'   # Quote globs so the shell does not expand them
mewt results --severity high,medium
mewt results --mutation-types ER,CR
mewt results --status Uncaught        # Uncaught | TestFail | Skipped | Timeout
mewt results --line 42

# Investigate and re-test
mewt print mutant --id [id]              # View the mutated code
mewt test --ids [ids]                    # Re-test specific mutants
mewt test --ids-file uncaught_ids.txt    # Re-test IDs from a file, or '-' for stdin

# Inspect configuration
mewt print config                        # Effective config
mewt print targets                       # Files actually mutated
mewt print mutations --language [lang]   # Mutations and severities for a language

Language labels are canonical family or family/dialect values in mewt 4.x — for example rust, javascript/ts, move/sui, move/iota.


What Results Mean

  • Caught/TestFail: tests detected the mutation (good)

  • Uncaught: tests did not detect the change. Inspect the code to distinguish a testing gap from an equivalent mutation.

  • Timeout: tests took too long — inconclusive, not evidence of coverage

  • Skipped: a less severe mutant was skipped because a more severe mutant on the same line was uncaught


Interpreting Mutation Types

mewt print mutations --language [lang] lists every mutation slug, description, and severity for a language, and is authoritative — the operator set grows with each release. What that output does not tell you is what a survivor means, which is where prioritization comes from:

SeverityRepresentative slugsWhat an uncaught mutant tells you
HighER (Error Replacement)Tests tolerate the injected error. Investigate whether the path executes, whether error handling masks the change, and whether assertions check the outcome.
MediumCR (Comment Replacement)Removing the statement does not fail the tests. Check whether its effects matter and whether assertions observe them.
MediumIF/IT (If False/True), NR (Negation Removal)Tests do not distinguish the changed condition. Both constant replacements surviving can indicate an unexecuted condition or weak assertions on the branch outcomes.
LowOperator shuffles (AOS, COS, LOS, BOS, shift/assignment variants), BL, AS, LC, WFCheck boundary inputs, arithmetic assertions, and semantic equivalence. The mutation result alone does not establish whether the code executed.

Severity ranks the mutation, not the risk. A low-severity survivor in a fee calculation matters more than a high-severity survivor in a log line — weigh what the mutated code does. Filter with --severity to work through the results in priority order.

Files

references/blockchain-patterns.md

Blockchain-Specific Patterns

Blockchain-specific mutation testing patterns for Solidity, FunC/Tolk, Move, and Solana Rust codebases. These patterns extend the general equivalence catalog and severity criteria; where they disagree with the general guidance, the blockchain-specific rule wins for blockchain code.


Blockchain-Specific Equivalent Mutants

Additional equivalence patterns beyond the general catalog.

Revert String Mutations

Pattern: require(condition, "error A") mutated to require(condition, "error B") Observable difference: The transaction reverts on the same inputs, but its returned error data changes. Treat this as a testing gap when callers or the documented interface depend on that data. Applies to: Solidity require, revert with custom error messages

Scope: A property concerned only with whether the call reverts can ignore the message. State that restricted property explicitly. The absence of an assertion on error data does not make two different error messages semantically identical.

Gas-Only Differences

Pattern: Mutation in a view or pure function that changes gas consumption but not the return value or state Scope: Identical return values can establish equivalence for a property that explicitly excludes gas consumption, provided neither version runs out of gas. They do not establish identical behavior in every calling context. Applies to: Solidity view/pure functions

Not equivalent when: The gas difference causes an out-of-gas revert that changes observable behavior, or the function is called in a state-changing context where gas matters.

Modifier Ordering

Pattern: Swapping the order of two independent modifiers on a function When equivalent: Both guards must be independent, and their order must preserve all relevant observable behavior. Check the error returned when both guards fail, as well as state effects and callbacks. Applies to: Solidity function modifiers

Not equivalent when: The modifiers interact (e.g., one sets a flag that the other reads, or one can revert based on state the other modifies).

Storage Packing

Pattern: Mutation to a type within the same storage slot that does not change the packed representation What to check: An unchanged storage layout is insufficient. A type change can alter arithmetic, comparisons, or accepted values even when the stored bits match. Trace reads and writes before deciding whether behavior is equivalent. Caution: This is very rare. Only classify as equivalent with concrete evidence of packing behavior.


Blockchain Severity Examples

Concrete tier assignments for common on-chain constructs, using the same four tiers as the general severity criteria.

Tier 1: Critical — Security-Sensitive

Solidity:

  • require(msg.sender == owner) — ownership check

  • onlyRole(ADMIN_ROLE) — role-based access control modifier

  • nonReentrant modifier — reentrancy guard

  • ecrecover(hash, v, r, s) — signature verification

  • require(deadline >= block.timestamp) — time-based access control

FunC/Tolk:

  • throw_unless(ERR_UNAUTHORIZED, equal_slices(sender, owner)) — ownership check

  • Bounce handler validation — message authentication

Solana Rust:

  • if !ctx.accounts.authority.is_signer — signer check

Tier 2: High — Financial/State Integrity

Solidity:

  • balances[to] += amount — balance update

  • fee = amount * feeRate / DENOMINATOR — fee calculation

  • require(ratio > MIN_COLLATERAL_RATIO) — liquidation threshold

  • IERC20(token).safeTransfer(to, amount) — token transfer

  • require(amountOut >= minAmountOut) — slippage check

FunC/Tolk:

  • send_raw_message(msg, mode) — value transfer via message

  • Jetton transfer handler — token movement logic

Solana Rust:

  • account.lamports -= amount — lamport transfer

  • pool.total_shares += new_shares — share accounting

Tier 3: Medium — Business Logic

Solidity:

  • require(proposalId < proposals.length) — bounds check in governance

  • rewards[user] += calculateReward(...) — non-critical reward distribution

  • if (queue.length > MAX_QUEUE_SIZE) revert() — queue management

Tier 4: Low — Observability

Solidity:

  • emit Transfer(from, to, amount) — event emission

  • function balanceOf(...) view returns (uint256) — view getter

  • Error message string in require(cond, "message")


Blockchain-Specific Ambiguous Cases

Protocol Standard Compliance

If event emission is required by an ERC or similar blockchain standard (e.g., Transfer in ERC-20) and downstream contracts or indexers depend on it, consider Tier 3 instead of Tier 4. This is stricter than the general case because on-chain protocol compliance is enforced by tooling and integrations.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Declares allowed tools

Security

No issues found by our static scan· No issues found

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Attribution and licence

Published by
Trail of Bits
Publisher
Trail of Bits (Official)
Source
trailofbits/skills · plugins/mutation-testing/skills/mutation-testing · commit e4dd0bb
Licence
Creative Commons Attribution-ShareAlike 4.0 International (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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