Official agent skill

Test Gap Analysis

by dotnet in dotnet/skills

Pseudo-mutation analysis ONLY: answer whether tests would catch a bug if production code changed, which meaningful changes would still pass, or which caller-visible mutations existing assertions…

OfficialMITAuto-check passedTesting & QA

Install Test Gap Analysis

skills CLI
$ npx skills add dotnet/skills --skill test-gap-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dotnet/skills test-gap-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dotnet/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/dotnet-test/skills/test-gap-analysis .claude/skills/test-gap-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
test-gap-analysis
GitHub stars
5.6k
Used in
1 other repo
Token cost
~4.5k tokens
SKILL.md length
2,345 words
Files
2 (incl. references)
Skills in repo
91
Repo updated
First seen
Licence
MIT

At a glance

Pseudo-mutation analysis ONLY: answer whether tests would catch a bug if production code changed, which meaningful changes would still pass, or which caller-visible mutations existing assertions…

  • Works in 7 steps: Set scope → Establish one baseline → Inventory public outcomes → …
  • : suite organization
  • SKILL.md covers Decision flow, Output contract, Reliability rules and Validation
  • Calls dotnet

What it does

Test Gap Analysis is an agent skill from dotnet/skills, published by the product's own GitHub organization. Pseudo-mutation analysis ONLY: answer whether tests would catch a bug if production code changed, which meaningful changes would still pass, or which caller-visible mutations existing assertions would miss; verify candidates when requested, then optionally close verified gaps. Activate for behavioral blind spots or missing edge cases tied to production behavior. Polyglot. DO NOT USE FOR: suite organization, taxonomy, metadata, or distribution reports (test-tagging); .NET line-vs-branch or Cobertura…

Its SKILL.md is about 4.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/mutation-catalog.md`).

It sits in Testing & QA, covering Test coverage. It works with .NET. The repository describes itself as: Repository for skills to assist AI coding agents with .NET and C. The licence is MIT.

When your agent uses it

  • : suite organization
  • Distribution reports (test-tagging)
  • .NET line-vs-branch
  • Cobertura interpretation

Example prompts

  • “/test-gap-analysis”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Set scope
  2. Establish one baseline
  3. Inventory public outcomes
  4. Admit only observable candidates
  5. Rank and classify
  6. Verify without creating false positives
  7. Close gaps only when requested

What it can do on your machine

Read from SKILL.md and the folder at commit 8d670fa. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • dotnet

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Test Gap Analysis loads about 4.5k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 200 tokens; SKILL.md has 2,345 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~200
When it runs · the whole SKILL.md, loaded when a task matches
~4.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from dotnet/skills at commit 8d670fa, republished under its MIT licence (© dotnet). 2,345 words, ~4,463 tokens.

Download SKILL.mdSave it as .claude/skills/test-gap-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
test-gap-analysis
description
Pseudo-mutation analysis ONLY: answer whether tests would catch a bug if production code changed, which meaningful changes would still pass, or which caller-visible mutations existing assertions would miss; verify candidates when requested, then optionally close verified gaps. Activate for behavioral blind spots or missing edge cases tied to production behavior. Polyglot. DO NOT USE FOR: suite organization, taxonomy, metadata, or distribution reports (test-tagging); .NET line-vs-branch or Cobertura interpretation, arithmetic, plateaus, project-wide coverage gaps, or coverage-backed test/CRAP priorities (coverage-analysis; use native coverage tooling outside .NET); named-target CRAP (crap-score); new suites (code-testing-agent); assertion/smell audits; or mutation tools.
license
MIT

Test Gap Analysis

Answer one question: which caller-visible production behaviors could change without an existing test failing? Mutation reasoning is a probe, not the goal. Inventory public outcomes first, then verify only credible gaps.

Decision flow

1. Set scope

Discover production and test files from manifests and file types. After a narrow search misses, inspect the current directory broadly before asking for paths.

RequestAction
One component or named riskInventory every high-risk public outcome in scope; do not edit production code unless verification was requested
General small-component reviewInventory distinct outcomes and report caller-visible gaps from source/assertion mapping
Explicit survivor verificationInventory all requested outcomes; execute one representative observable candidate for each distinct high-risk outcome under verification, then classify it as Survived or Killed
Explicit exhaustive auditRead references/mutation-catalog.md and classify all meaningful candidates
Add tests to an existing suiteAnalyze first; add tests only for verified survivors or demonstrated no-coverage outcomes
Create a new suiteStop and use code-testing-agent

When the request names a risk, turn it into a one-line public-outcome allowlist before reading code. An outcome is not in scope merely because the same method writes it. For money math, allow computed or returned amounts, rates, tier/boundary choice, percentage base/order, floors/caps, and rounding; exclude non-monetary state predicates (including derived booleans), identity, and formatting. Private code is in scope only to trace an allowed outcome.

Do not expand a focused request into a repository audit, plan artifact, or dashboard. Use source and tests directly for familiar frameworks. Invoke test-analysis-extensions only when discovery or assertion semantics are unclear.

2. Establish one baseline

Run the narrowest existing test command once. Choose it from the project manifest; Microsoft.Testing.Platform executables may require dotnet run. Confirm tests executed: exit 0 with build-only output is not green. If that one attempt cannot run the suite, do not troubleshoot the runner or try alternate commands for an advisory review; continue statically and label all candidates unverified. Do not infer a project-configuration cause from missing output; name a cause only when the command reports it.

Missing runner output limits only claims of empirical mutation survival. It does not make source-proven facts tentative: a public outcome with no reaching test is still No coverage, and an exact expected value derived from the unmodified implementation is still actionable. State the baseline limitation once, then give the static source/assertion conclusion directly instead of hedging every row.

For an advisory review such as "would tests catch this?", stop execution after that baseline. Source-to-assertion mapping is sufficient evidence for No coverage and Candidate survivor (unverified). Trace or run the unmodified code once only when an original value is unclear. Apply mutations only for explicit verification, an exhaustive audit, or closing gaps with tests.

Any focused mutation budget limits execution, not discovery. Keep every distinct unasserted public outcome in the inventory.

3. Inventory public outcomes

For each public entry point, map:

  • input partitions: classifier arms, compound conditions, invalid and nearest-valid guard boundaries, and default cases;
  • each independent observation: returned field/variant, exception type, invalid-input acceptance, public state transition, or external side effect;
  • private-helper composition, constants/rates, rounding, retries, cancellation, and error propagation as observed through the public caller.

Use public input/sequence -> expected outcome -> existing assertion -> gap. One asserted return field does not cover another. One allowed result does not cover its denial.

Money math: inventory the no-op path, every rate/tier and exact boundary, operation order, percentage base or composition, floor/cap, and rounding. Trace private helpers through the public result. A test asserting only a broad range does not pin any exact amount. For each actionable money row, derive one witness input and its exact original result through the complete call chain; do not recommend a generic "assert the exact amount" without supplying that amount.

Ordered guards and retries: inventory invalid below minimum | first valid | last allowed or retryable | first blocked | later blocked. For an upper guard such as value >= limit, use limit - 1, limit, and limit + 1; the last witness exposes narrowing to value == limit. Inventory every accepted and rejected error class. When type matching is polymorphic, include a representative derived accepted type that would expose exact-runtime-type narrowing. A test at the first blocked value does not protect the last allowed or later blocked value.

Authorization: enumerate each relevant identity/role, resource class, and action from the caller's view. Untested false, forbidden, and unchanged-role outcomes are first-class security gaps. Do not analyze variants of an allowed path while a denial outcome remains uninventoried. Check each public surface:

  • permission-returning APIs: every distinct role/resource class and every returned capability independently;
  • action-dispatch APIs: each read/write/delete-style action branch, especially paths that must return denial;
  • role/state transitions: accepted, rejected, invalid, null, and empty inputs, including outcomes that must leave state unchanged.

Reserve execution for wholly untested public branches before another variant of a partially covered helper. If more than five high-risk behaviors are unasserted, execute the top 3-5 and keep the rest visible as No coverage or Candidate survivor (unverified).

Execution never replaces the ledger. Before mutating or answering, classify every required outcome, including each invalid input, guard boundary, classifier arm, action, and denial.

Completeness checkpoint: before selecting findings, explicitly account for every independent mode/flag, both zero and negative for a <= 0 guard, every accepted exception class, and a representative derived accepted exception when matching is polymorphic. For a removed guard, trace the fallthrough: if it still produces the same public exception type, it is equivalent unless finer exception metadata is an established contract.

4. Admit only observable candidates

First replay each exact mutation against every existing asserted input or sequence with all arguments fixed. Any changed return, exception, state, or side effect is Likely killed; a dedicated single-purpose test is unnecessary. Never compare the mutant on one input with the original on another.

For survivors, choose a witness before execution or reporting and state witness -> original observation -> mutant observation. Reuse it in the smallest test. Admit it only when the last two differ publicly after tracing the full call chain; otherwise choose a distinguishing witness or drop it.

Exclude:

  • edits that require inserting or reordering statements rather than changing or removing an existing expression, condition, constant, return, or side effect;
  • edits that do not compile, including removal of a declaration whose value is still referenced;
  • overflow behavior, exception message/ParamName metadata, or other semantics not established by the current contract, source intent, or tests;
  • a removed guard or short-circuit that falls through to the same result, exception, state, and side effects;
  • private representation changes that every public input sequence observes identically, even if the suite stays green;
  • a mutation whose proposed test passes against both original and mutant;
  • boundary edits that return the same value on the distinguishing input; for example, changing result < floor ? floor : result to <= is equivalent at equality because both branches return floor;
  • a standalone auto-property or trivial one-line wrapper/predicate with no meaningful branch, calculation, or side effect, unless the user names it;
  • hypothetical future impact, generated code, logging/formatting-only changes, impossible values, and duplicate syntax variants.

Missing direct assertions do not prove No coverage: first trace existing assertions through public callers and shared branches. Missing assertions make an observable candidate a survivor; they do not make an inert mutation meaningful.

5. Rank and classify

Rank: (1) security denials, financial outcomes, errors, and state changes; (2) wholly unasserted public outcomes; (3) boundaries or exact values reached by weak assertions; (4) alternate variants of already-asserted behavior.

Finish the inventory before selecting mutations or a verdict. One killed attempt, exception type, or switch arm does not clear its siblings.

Choose the verdict from the completed inventory:

  • Strong when core branches and primary boundaries are protected and only a few validation or default-case variants remain;
  • Mixed when meaningful coverage exists but at least one important outcome partition is unprotected;
  • Weak when important outcomes are broadly unprotected.

A handful of validation gaps does not make an otherwise broad suite Mixed unless validation is the named risk or the gaps threaten security, data, or other contract-critical behavior.

When the inventory meets the Strong criteria above, lead with Strong and name the protected boundaries and dual assertions before listing minor gaps. Do not open with Mixed, "only core paths", or a risk-heavy dashboard.

Stop when existing assertions kill the remaining candidates or no credible public survivor remains. Do not mutate every operator merely to fill a report or calculate a score.

ResultMeaning
Likely killedAn existing assertion observes the changed outcome
Candidate survivor (unverified)Observable change appears unasserted; not executed
SurvivedExact observable mutation executed and tests stayed green
No coverageNo test reaches the public outcome; report the missing branch without inventing a survivor
EquivalentNo public observation changes; omit from findings

Outside explicit verification, an exhaustive audit, or a requested test addition, execute no mutations. Do not mutate to confirm obvious no coverage. For explicit verification, execute one representative candidate per distinct high-risk outcome in scope; do not stop after the first one or two while another guard, action branch, error class, or denial remains unclassified. Omit equivalent syntax variants.

Show full SKILL.md (846 more words)Show less
6. Verify without creating false positives

Enter this phase only for explicit verification, an exhaustive audit, or a requested test addition.

  1. Apply one candidate and confirm the diff changes exactly one intended expression.
  2. Run the narrowest covering test: green means Survived, red means Killed, for that edit only.
  3. Revert immediately and confirm the clean source/test baseline.
  4. After a green run, re-check the public counterfactual. Execution proves the suite missed the edit, not that the edit changes behavior; drop inert or unobservable mutants.

Never leave mutations in the workspace. Before reporting, reconcile every unasserted high-risk outcome as Survived, Candidate survivor (unverified), No coverage, or omitted Equivalent. Stop when no credible public gap remains; do not fill a report with internal details or calculate a score unless the user requested an exhaustive audit.

7. Close gaps only when requested
  1. Add focused tests only for executed Survived mutations or demonstrated No coverage behavior.
  2. Cover every distinct gap in the requested scope before adding tests for alternate variants of an already-covered behavior.
  3. Before editing, create a survivor-to-test checklist. Before stopping, map every verified survivor to an added test and every added test back to a verified survivor; a passing final suite alone does not prove completeness.
  4. Preserve production code and existing tests when requested.
  5. Prefer one behavior-focused test that kills related mutations over one test per syntax change.
  6. Re-apply the original mutation and prove the new test kills it, then restore the source and run the narrow suite cleanly.
  7. If the fixture or repository supplies a canonical mutation verifier, run that exact command after the tests are added and cite its successful result. Hand-created substitute mutations, a broad green suite, or a test-count increase do not replace the supplied oracle. Once every requested survivor maps to a focused test and the canonical verifier passes, stop; extra tests are not an advantage.
  8. When the request requires existing source or test files to remain unchanged, compare each protected file byte-for-byte with its pre-edit snapshot and report that evidence. Before adding a test, prove its witness differs from every existing case on the relevant branch, boundary, or rounded result so a nominally new test does not duplicate existing coverage.

Output contract

Scale the response to the request.

For focused or small analysis, return:

  1. A one-line verdict: Strong, Mixed, or Weak, with the reason.

  2. For a Strong suite, one short strengths sentence naming the concrete protected boundaries, guards, or paired observations that justify the verdict.

  3. One compact row per actionable Survived, Candidate survivor (unverified), or No coverage outcome. Before adding a row, apply the outcome allowlist when the request names a risk, then apply the observable-candidate rules; omit any candidate that fails either filter. Include every high-risk outcome, use one row per distinct public outcome, and consolidate only related low-risk variants:

    RiskPublic outcomeChangeResult/evidenceSmallest test

    Every gap needs a distinguishing witness and a concrete smallest test. An error-path gap must name an invalid input and the expected error/result.

  4. For a Mixed or Weak suite, one short strengths sentence naming important killed behavior.

  5. When the request names exclusions, one short scope sentence naming the generated, trivial, or unrelated code intentionally skipped.

Do not repeat the table in prose or report discarded mutants, tool chronology, or in-flight reasoning.

For an exhaustive audit, add counts for Killed / Survived / No coverage / Equivalent and group findings by risk. Count only executed or definitively classified candidates.

For test additions, name the tests added, the verified mutations they kill, and the successful final command.

Reliability rules

  • A passing test that does not assert the changed outcome does not kill a mutation.
  • Coverage is per behavior partition. One switch/ternary arm or compound input does not prove siblings: allow does not prove deny; read does not prove write; null does not prove empty or whitespace when those inputs have different caller-visible outcomes. A kill clears only the edit and path that ran.
  • Private helpers reached through a public method remain in scope.
  • Error semantics are language-specific: in Rust, ? propagation versus panic is observable behavior; in C#, exception type and whether an input guard accepts or rejects a value are observable behavior.
  • Cross-check every exact amount or boundary result against the unmodified implementation or an existing exact assertion. If it cannot be checked, state the behavioral relation without inventing a number.
  • Do not label a finding high-risk merely because a mutation survived.
  • Never recommend a redundant test for behavior the existing suite already protects.

Validation

  • Scope stayed proportional to the request
  • The original suite passed, or static-only limits are explicit
  • Every high-risk public outcome in scope was inventoried
  • Original and mutant have different caller-visible observations
  • Every outcome labeled Survived was executed; unexecuted candidates use Candidate survivor (unverified)
  • Every temporary mutation was reverted
  • Findings exclude trivial, generated, and equivalent changes
  • Recommendations target only demonstrated gaps
  • Every public entry-point branch and each accepted exception type in scope is explicitly accounted for
  • A supplied canonical mutation verifier was run and reported, not replaced with an ad-hoc proxy

© dotnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/dotnet-test/skills/test-gap-analysis of dotnet/skills.

  • SKILL.md
  • references/mutation-catalog.md

Open the folder on GitHubat commit 8d670fa

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in dotnet/skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Test Gap Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Test Gap Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Test Gap Analysis this skilldotnet/skills5.6k1 repos~4.5kAutomated safety check: PassMIT
Evaluate PR Testsdotnet/maui23k—~2.9kAutomated safety check: PassMIT
Coverage Analysismicrosoft/testfx1k—~7.3kAutomated safety check: PassMIT
Coverage Analysisrunceel/ReactiveProperty944—~5.9kAutomated safety check: WarnMIT
Stryker Dotnetardalis/RiverBooks134—~1.9kAutomated safety check: PassNone
CoverageLog2n-io/Typhon250—~787Automated safety check: PassCustom licence

Similar skills

  • Official

    Reviews the tests added in a pull request for fix coverage, quality, edge cases and test type, and recommends lighter test types where they would do.

    23k GitHub stars~2.9k tokensUpdated today
    Testing & QAAuto-check passed
  • Coverage Analysis

    microsoft/testfx

    Official

    Project-wide code coverage and CRAP (Change Risk Anti-Patterns) score analysis for .NET projects.

    1k GitHub stars~7.3k tokensUpdated today
    Testing & QAAuto-check passed
  • Coverage Analysis

    runceel/ReactiveProperty

    Automated, project-wide code coverage and CRAP (Change Risk Anti-Patterns) score analysis for .NET projects with existing unit tests.

    944 GitHub stars~5.9k tokensUpdated 1 mo ago
    Testing & QAAuto-check: warnings
  • Stryker Dotnet

    ardalis/RiverBooks

    Run Stryker.NET mutation testing against a specific .NET source file.

    134 GitHub stars~1.9k tokensUpdated yesterday
    Testing & QAAuto-check passed
  • Coverage

    Log2n-io/Typhon

    Run code coverage analysis, track class-level results, and generate trend reports

    250 GitHub stars~787 tokensUpdated today
    Testing & QAAuto-check passed
  • Dotnet Testing

    novotnyllc/dotnet-artisan

    Defines .NET test strategy and implementation patterns across xUnit v3 (Facts, Theories, fixtures, IAsyncLifetime), integration testing (WebApplicationFactory, Testcontainers), Aspire testing…

    233 GitHub stars~972 tokensUpdated 1 mo ago
    Testing & QAAuto-check passed

More from dotnet/skills

All 91 skills in this repo
  • Official

    Resolves .NET runtime frames in Apple .ips crash logs to function names, source files and line numbers using dSYM symbols, atos and the Microsoft symbol server.

    5.6k GitHub starsUsed in 1 repo~2.4k tokens
    Auto-check passed
  • Official

    Resolves native crash frames from .NET Android tombstones to function names, source files and line numbers using BuildIds, Microsoft's symbol server and llvm-symbolizer.

    5.6k GitHub starsUsed in 1 repo~2.1k tokens
    Auto-check passed
  • Official

    Scans C# and .NET code for about 50 performance anti-patterns and reports prioritized findings with concrete fixes, at a scan depth you choose.

    5.6k GitHub starsUsed in 3 repos~3.1k tokens
    Auto-check passed
  • Official

    Statically pairs source files with test files to list code that no test references, using Roslyn for C# or tree-sitter for many languages, with no build.

    5.6k GitHub starsUsed in 1 repo~3.3k tokens
    Auto-check passed
  • Microbenchmarking

    dotnet/skills

    Official

    Activate this skill when BenchmarkDotNet (BDN) is involved in the task — creating, running, configuring, or reviewing BDN benchmarks.

    5.6k GitHub starsUsed in 3 repos~3.3k tokens
    Auto-check passed
  • Official

    Makes .NET projects compatible with Native AOT and trimming by resolving IL trim and AOT analyzer warnings through annotations rather than suppressions.

    5.6k GitHub starsUsed in 2 repos~4.2k tokens
    Auto-check passed

Works with

Categories

Questions about Test Gap Analysis

What does Test Gap Analysis do?

Pseudo-mutation analysis ONLY: answer whether tests would catch a bug if production code changed, which meaningful changes would still pass, or which caller-visible mutations existing assertions…. Test Gap Analysis is an agent skill from dotnet/skills, published by the product's own GitHub organization. Pseudo-mutation analysis ONLY: answer whether tests would catch a bug if production code changed, which meaningful changes would still pass, or which caller-visible mutations existing assertions would miss; verify candidates when requested, then optionally close verified gaps.

When should I use Test Gap Analysis?

Test Gap Analysis fits situations like: : suite organization; distribution reports (test-tagging); .NET line-vs-branch; cobertura interpretation.

How do I install Test Gap Analysis in Claude Code?

Run `npx skills add dotnet/skills --skill test-gap-analysis -a claude-code`. Or copy the skill folder (plugins/dotnet-test/skills/test-gap-analysis in dotnet/skills) into .claude/skills/test-gap-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Test Gap Analysis in Codex?

Run `npx skills add dotnet/skills --skill test-gap-analysis -a codex`. Or copy the skill folder (plugins/dotnet-test/skills/test-gap-analysis in dotnet/skills) into .agents/skills/test-gap-analysis in your project. Codex loads it when a task matches its description.

Can I use Test Gap Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dotnet/skills --skill test-gap-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/test-gap-analysis, .gemini/skills/test-gap-analysis, .github/skills/test-gap-analysis and .opencode/skills/test-gap-analysis in your project.

What does Test Gap Analysis need to run?

Going by SKILL.md and its folder, Test Gap Analysis needs the command-line tools its instructions call (dotnet).

Does Test Gap Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Test Gap Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Test Gap Analysis use?

Test Gap Analysis is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Test Gap Analysis use?

About 4.5k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 914 tokens, read only when the agent opens those files.

What are the alternatives to Test Gap Analysis?

Skills that share tags, products or a category with Test Gap Analysis: Evaluate PR Tests (dotnet/maui, 23k stars), Coverage Analysis (microsoft/testfx, 1k stars), Coverage Analysis (runceel/ReactiveProperty, 944 stars) and Stryker Dotnet (ardalis/RiverBooks, 134 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Test Gap Analysis?

dotnet (a GitHub organization, an official publisher) maintains it in dotnet/skills, which has 5,568 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on October 7, 2026.

Source: dotnet/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.