Ln 55 Test Suite Auditor logo

Ln 55 Test Suite Auditor

Community
levnikolaevich
ln-55-test-suite-auditor

Audits existing tests for risk coverage, reliable oracles and maintenance value; does not edit tests.

Overview

Publisherlevnikolaevich
Repositoryclaude-code-skills
Skill nameln-55-test-suite-auditor
Stars
565
Forks
84
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by levnikolaevich on GitHub. Read the source before you install it.

Installation

Install the Ln 55 Test Suite Auditor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/levnikolaevich/claude-code-skills.git /tmp/claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills/plugins/quality-assurance-suite/skills/ln-55-test-suite-auditor .claude/skills/ln-55-test-suite-auditor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ln 55 Test Suite Auditor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ln 55 Test Suite Auditor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ln 55 Test Suite Auditor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Test Suite Auditor

Goal: Audit the test portfolio as a read-only lifecycle and confidence system. Determine which important failures it detects, which evidence is untrustworthy or obsolete, and which additions, changes, consolidations, retirements, or explicit omissions produce the smallest sustainable portfolio.

Execution contract: The checklist defines completion. Track each item internally as PENDING, PROVEN with evidence, CLEARED with evidence its condition is absent, or UNPROVEN with a gap; reading, delegation, or tool failure is not proof. Reconcile after each section. Before returning, resolve all PENDING, count only PROVEN and CLEARED, and apply verdict and approval rules to every gap. Preserve intent, scope, and existing authorization. Continue authorized work; ask only for consequential unresolved choices or required external approval. Scale depth to material risk without skipping checks. Preserve dependency and safety order; otherwise choose an appropriate verification method. Accept equivalent user or repository evidence; no other skill, named artifact, or complete lifecycle is required. Preserve source requirement and decision IDs. Bind reused evidence to relevant source versions, dirty changes, configuration, and environment; invalidate only affected claims. On continuation, reconcile task, authorization, current state, and unresolved evidence. For long work, return a compact continuation record or update an already authorized artifact; read-only skills do not persist it. Distinguish artifact readiness, verified behavior, and external-action authority. Prepare authorized work before required approval. If blocked by an instruction, cite its exact source and unresolved boundary; do not invent approval gates from caution.

Tool Routing

NeedPreferred toolUse it whenFallback
Source and test inventoryNative file listing, search, manifests, and test configurationMapping domains, test types, runners, fixtures, and generated areasRepository tree plus known test entrypoints
Test-to-code relationshipsLanguage server or host-native code intelligenceMapping units, callers, implementations, routes, and test targetsNaming and path search verified by direct reads
Execution and trustRepository-defined test commands through the shellEstablishing pass/fail state, timing, order dependence, or reproducibilityInspect CI results and configuration; mark execution unavailable
Coverage and missed behaviorExisting coverage tools and reportsCoverage data is configured and comparable to source scopeStatic behavior-to-test mapping; never invent percentages
Flake and isolation evidenceRepeated, shuffled, parallel, or seed-controlled runs supported by the repositoryA test is suspected of order, time, randomness, or shared-state dependenceHistory, CI logs, and code-path evidence
Assertion strengthTest reads, failure output, and configured mutation testingDetermining whether tests fail for meaningful behavioral defectsCounterfactual reasoning tied to specific assertions
Framework semanticsOfficial test-runner or framework documentationA finding depends on lifecycle, fixtures, retries, isolation, or mocking behaviorPrimary-source web research; otherwise mark UNVERIFIED

Run only safe test and diagnostic commands. Do not rewrite snapshots, update golden files, regenerate fixtures, or accept changed output during the audit.

Evidence Rules

  • Coverage indicates execution, not proof. Require an assertion or observable oracle for important behavior.
  • A slow test is not low-value when it uniquely protects a critical journey; a fast test is not high-value when it proves framework behavior.
  • A flaky failure must be separated from an intermittently failing product dependency or genuinely nondeterministic requirement.
  • Deletion recommendations require proof that the test basis is obsolete or that other evidence covers every still-required behavior and failure mode with equal or better trust.
  • Merge recommendations require demonstrated duplicate or fragmented coverage and must preserve distinct business and failure scenarios, oracle strength, and failure localization; a larger test is not inherently better.
  • Known regression guards and the only proof of a rare critical edge case are not deletion candidates merely because a numeric value heuristic is low.
  • A real dependency is not inherently a test defect. Judge whether its version, state, ownership, reset, availability, and failure evidence make the result reproducible.
  • Keep portfolio action (KEEP, ADD, UPDATE, MERGE, DELETE, NO_TEST) separate from execution status (PASS, FAIL, BLOCKED, UNPROVEN, QUARANTINED). NO_TEST requires existing proof, another control, or explicit residual-risk acceptance.
  • Do not require a new registry by default. Prefer traceability derivable from repository-native test paths, behavioral names, tags, requirements, CI configuration, and review evidence.
  • External testing guidance becomes actionable only when it explains a concrete weakness in this suite.

Checklist

1. Map the Portfolio and Baseline

  • Detect test runners, configurations, commands, directories, fixtures, factories, snapshots, golden files, manual scripts, coverage, and mutation tooling.
  • Map source domains and critical entrypoints to unit, integration, contract, end-to-end, and manual test surfaces.
  • Trace requirements, product risks, incidents, public contracts, and changed behavior to tests and results where evidence exists; identify tests with no current test basis and basis elements with no credible proof.
  • Read repository instructions and CI configuration to identify required suites, environment assumptions, retries, sharding, and exclusions.
  • Run representative suites and required gates where feasible; record environment, duration, exit status, discovered/executed scope, failures, skips, and retries. Flag required suites that silently select no tests.
  • Separate generated, vendored, example, migration-history, and infrastructure fixtures from product tests before evaluating the portfolio.
  • Keep the audit read-only and disclose any caches or test artifacts created by permitted commands.

2. Audit Product Value and Coverage

  • Identify uniquely critical local logic: money, authentication, authorization, data integrity, algorithms, domain rules, destructive operations, and irreversible workflows.
  • Trace each critical behavior to at least one test whose oracle would fail for the corresponding defect; name/path matches and line coverage are only discovery evidence.
  • For tests of configuration, queries, schemas, adaptation, validation, or failure handling, trace the asserted behavior to a concrete business rule or outcome; technical coverage alone does not establish value.
  • Check whether end-to-end tests cross the production-shaped boundaries relevant to the risk and prove the terminal durable or user-visible outcome, not only an intermediate status, page, or mock call.
  • Test value and boundary: Require every test to detect a concrete defect in this product's business logic and name the protected business outcome. Prefer E2E through user or external-system boundaries; use integration or unit tests only for business scenarios difficult to exercise reliably through E2E. Reject platform, trivial-wiring, implementation-detail, and duplicate proof with no distinct business failure signal.
  • Inspect error, retry, timeout, authorization, concurrency, migration, compatibility, and recovery behavior where those failures are plausible and costly.
  • Use coverage data to locate unexecuted critical paths, then inspect behavior and assertions before reporting a gap.
  • Classify every material gap and in-scope affected test as KEEP, ADD, UPDATE, MERGE, DELETE, or NO_TEST, justified by impact, plausible failure, uniqueness, trust, and maintenance cost; use UPDATE when valuable intent remains but its basis, setup, boundary, assertion, or oracle must change.

3. Audit Isolation and Determinism

  • Check shared database, filesystem, environment, process, network, cache, clock, random generator, and global state for leakage between tests.
  • Check setup and teardown on success and failure, unique test data, transaction boundaries, cleanup, and parallel-safe resource ownership.
  • Diagnose suspected flakes using only discriminating modes: alone, in-suite, fixed-seed repetition, shuffled/reversed order, or parallel execution. Preserve the first failure, order, seed, worker, and environment; stop when evidence identifies the cause or the bounded diagnostic budget ends.
  • Detect time, timezone, locale, randomness, sleep, scheduler, and race sensitivity; require controllable clocks or seeds where behavior depends on them.
  • For real dependencies and emulators, verify version pinning, readiness, namespace/state reset, failure cleanup, credentials, and CI availability instead of assuming either real or mocked is preferable.
  • Review retries and quarantine rules so they preserve the first failure and reproducibility data rather than converting an initial failure into a silent pass.
  • Require every quarantine to remain visible outside the passing result, with an owner or decision path and a concrete recovery, replacement, or retirement trigger; quarantine is an execution state, not a portfolio action.
  • Distinguish test flakiness from real intermittent product defects using repeated evidence, logs, and the failing path.

4. Audit Structure, Maintenance, and Oracles

  • Check whether test layout follows source domains or a clear type-based convention and whether contributors can locate the owning tests.
  • Find orphan tests, disabled suites, duplicate fixtures, fragmented scenario coverage, oversized files, and flat directories that obscure ownership.
  • Review temporary characterization, migration, compatibility, incident, workaround, and regression tests against current risk. A fixed incident does not retire its regression guard; require obsolete behavior or trustworthy replacement coverage before recommending merge or deletion.
  • Check test names and arrangement for behavioral intent, prerequisites, action, and expected outcome rather than implementation narration.
  • UI test locators: Use stable project-native semantic locators (roles, accessible names, labels) or explicit IDs/test hooks according to the observable contract and locale strategy. Avoid styling, position, timing, and incidental structure. Treat exact-copy assertions separately when copy is a requirement; do not require product edits solely to add hooks when a robust semantic locator exists.
  • Inspect assertions for specificity, negative proof, state and interaction balance, useful failure messages, and resistance to false positives.
  • Flag tests without a meaningful failure oracle, weak truthiness, snapshots of incidental or unreviewable output, broad exception acceptance, and mocks that bypass tested behavior. Retain snapshots or implicit failure oracles that independently prove the required contract.
  • Check that expected values come from an independent contract, example, invariant, or golden artifact rather than reproducing the implementation's calculation inside the test.
  • Check mocks, fakes, emulators, and generated clients for contract drift; require a contract test or another credible comparison with the real boundary where drift could create false confidence.
  • Inspect non-default configuration cases for business failures hidden by passing defaults; use supported runtime overrides for safe reproduction, not edits to reviewed code or tests.
  • Use existing mutation results or a targeted counterfactual for critical weak-oracle candidates. Execute mutations only in an authorized disposable copy, preserve the reviewed source, and clean run-owned artifacts; otherwise use static reasoning. Do not mandate repository-wide mutation testing.
  • Review manual tests for reproducible setup, fail-fast behavior, explicit expected evidence, idempotency, cleanup, portability, and operator documentation.
  • Check fixture and helper abstraction for readability and honest defaults; hidden behavior in builders must not make important test conditions invisible.
  • Review gate placement and suite cost: required gates protect material release risk, while slower diagnostic or exploratory evidence remains discoverable without blocking routine delivery unnecessarily.

5. Validate Findings and Report

  • Research runner or framework semantics only when lifecycle, fixture, isolation, retry, or mocking behavior can change a finding; use official version-matched sources.
  • Reproduce high-severity trust failures where safe, preserving command, seed, order, and environment evidence.
  • Deduplicate findings that share one root cause, such as a global fixture causing multiple flaky suites.
  • Apply the materiality gate: require concrete critical proof gap, false confidence, delivery risk, or recurring maintenance cost at evidenced scale. Reject taste, theoretical purity, generic practice, hypothetical scale, and reasonable alternatives; require the outcome or constraint, not a preferred implementation.
  • External correction evidence: Ground external corrections in version-matched official contracts, using primary engineering sources for unresolved tradeoffs. Cite the supported mechanism; local evidence suffices for local defects.
  • Make accepted portfolio findings actionable through the protected behavior, owning test boundary, and evidence needed to close the gap; keep changes outside this read-only audit.
  • Classify findings as P0-P3 based on critical behavior left unproven, false confidence, delivery blockage, and maintenance drag.
  • Report decision-useful portfolio signals when evidence exists: material risks by proof state, action distribution, required-gate results and duration, skips, retries, quarantine, and orphan or obsolete candidates. Reject total test count, pass rate without exclusions, raw coverage, and level ratios as standalone quality targets.
  • Use BLOCKED when a required critical suite, environment, or oracle cannot be accessed and no credible static or historical fallback exists; use FAIL when evidence shows critical behavior is unproven, a required gate fails, or false confidence remains in an untrustworthy critical surface; use CONCERNS only for non-blocking portfolio or maintenance risk, and PASS only when required evidence is trustworthy and no critical gap remains.

Self-Check

  • Reconcile before returning. Check item-level evidence, requirement coverage, contradictions, scope, verdict, and applicable cleanup. Correct the report or authorized artifacts. Reuse valid evidence; do not automatically rescan the repository or rerun successful commands. Repeat checks only for relevant changes, failures, or unresolved evidence. Disclose remaining gaps.

Output Contract

Report in the user's language, in this order; retain all five fields and state each fact once. Small results may use one line per field; omit empty tables and do not copy linked artifacts:

  1. Result: Skill-specific verdict and supported outcome.
  2. Scope: Reviewed/changed scope, exclusions, baseline, and material assumptions.
  3. Evidence: Skill-specific fields below; distinguish facts, inferences, and unverified claims. Link artifacts; use tables when useful.
  4. Verification: Checks/results, unavailable evidence, and applicable cleanup/external state.
  5. Completion: Checklist: X/Y complete; Incomplete: None or each UNPROVEN item's reason, outcome impact, and exact next action; residual risks and required decisions.

Skill-specific evidence: Test basis/protected risk → existing test or missing proof → portfolio action → oracle → gate/result → replacement evidence or retirement trigger. Cover critical behavior, isolation, maintenance, assertion strength, lifecycle, net portfolio effect, required/diagnostic gates, duration, skips, retries, and quarantine where evidenced. Findings need priority, test location, missed defect class, impact, unacceptable tradeoff, and minimal correction; preserve unique coverage and distinguish portfolio actions from execution states.

Frequently asked questions

What does the Ln 55 Test Suite Auditor AI skill do?

Audits existing tests for risk coverage, reliable oracles and maintenance value; does not edit tests.

Why use Ln 55 Test Suite Auditor on TypingMind?

Because you install it once and use it with any model. Ln 55 Test Suite Auditor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ln 55 Test Suite Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/quality-assurance-suite/skills/ln-55-test-suite-auditor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ln 55 Test Suite Auditor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ln 55 Test Suite Auditor?

As many as you like. As long as a model supports skills, you can use Ln 55 Test Suite Auditor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ln 55 Test Suite Auditor AI skill free?

Yes. It is published on GitHub by levnikolaevich under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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