claude

qa-data-quality

Data quality testing for analytical pipelines: dbt tests, Great Expectations, Soda checks, data contracts, and a go / no-go release gate. Extracts data contracts from data-product specs and covers tool choice and severity conventions. Agents (schema-diff-reviewer, data-anomaly-triager) review schema diffs for breaking changes and classify failed checks by anomaly type and likely owner.

13 on GitHubby testlandv1.1.5MITupdated yesterdayquality-engineering
/

Plugin qa-data-quality from marketplace testland-qa in testland/qa. Commands read from the repo's manifest — today.

What it installs

Skills (6)

  • data-contract-extractor

    Use for any question or task about data contracts, including what one should include and formalizing what a dataset promises after an upstream change such as a renamed column broke consumers. Reads a data PRD, dataset README or lineage doc and writes the contract: schema with types, nullability and

  • data-quality-conventions

    Use when designing data-quality coverage for a new data product or auditing an existing one: choosing dbt tests vs Great Expectations vs Soda, column vs table-level checks, severity tiers, SLA and freshness conventions, and anti-patterns to avoid.

  • data-quality-gate

    Use when a data pipeline needs one CI step that fails the build when data quality drops. Gathers check results from dbt, Great Expectations or Soda, applies severity-aware thresholds and returns a single go/no-go decision with a reason per check.

  • dbt-testing

    Use for any question or task about testing dbt models, including adding tests to a model's YAML and bad data such as duplicate IDs that a passing dbt build missed: generic, singular and custom-macro tests, model assertions, reading failures from run_results.json and gating dbt build on the results i

  • great-expectations

    Use whenever data validation uses Great Expectations (GX Core) on Pandas, SQL or Spark: ExpectationSuites, ValidationDefinitions and Checkpoints, running validations on batches and reading the JSON result to gate CI.

  • soda-checks

    Use when warehouse data quality (Snowflake, BigQuery, Postgres, Redshift and others) should be checked with YAML-based SodaCL: writing checks, configuration.yml data sources, soda scan runs and CI gating on the exit code, with Soda Core or Soda Cloud.

Subagents (2)

  • data-anomaly-triager

    Use proactively after a data-quality failure from dbt, Great Expectations or Soda. Classifies the failure as drift, outlier, missing, referential or freshness, names the likely owning team and proposes the remediation step.

  • schema-diff-reviewer

    Use proactively before merging a schema migration or dbt model change. Separates breaking from additive changes, finds new or changed columns with no data tests and lists downstream consumers affected. Locking and rollback safety is migration-blast-radius-reviewer.

View source on GitHub testland.io

More from testland/qa

All 78 plugins →

Security scanning across SAST, DAST, SCA, secrets and SBOM: Semgrep, CodeQL, SonarQube, ZAP, Nuclei, Snyk, OSV-Scanner, gitleaks, Syft and Trivy. Also covers language-native SAST linters, Dependabot and Renovate, package-manager audits, reachability and CVE exploitability triage, secret rotation, and VEX. A gate agent (security-finding-triager) normalizes, dedupes and waiver-checks multi-scanner output, including IaC findings from qa-iac, into one BLOCK / PASS verdict per domain. Every scanner skill includes a false-positive triage section.

17 skills · 1 agent

13

Test process and strategy: risk-based testing, test strategies, Definition of Done, smoke gates, test pyramid balance, effort estimates and post-mortems. Also covers E2E suite budgets, test ideas from stories and live features, framework choice, and attack-surface checklists. Agents (release-readiness-checker, quality-coach, release-engineer) run multi-gate go / no-go checks, audit work against the Definition of Done, and walk a release runbook with human gates.

12 skills · 3 agents

13

Test data engineering: Faker and factories, WireMock and MSW API mocks, seed datasets, golden files, and boundary, pairwise and negative test inputs. Includes FactoryBot, Mimesis and Bogus, a Mountebank reference, synthetic PII, and a malicious payload bank. Agents (golden-file-manager, test-data-setup-agent) maintain snapshot baselines and set up a feature's full test-data layer.

12 skills · 2 agents

13

Test reporting and coverage analytics: JUnit XML, LCOV and Cobertura parsing, Allure reports, coverage diffs, and test run summaries for pull requests. Also covers JaCoCo and coverage.py analysis, risk-ranked coverage targets, TestRail / Xray / Zephyr Scale result sync, and Currents analytics. Agents (daily-test-suite-aggregator, release-quality-report-agent) roll up daily results across suites and assemble a release-quality go / no-go report. Jest and Vitest coverage lives in qa-unit-tests-js.

10 skills · 2 agents

13

Test code review for test files only: conventions, isolation, object-model patterns, framework architecture audits, and test suite health checks. Includes a framework blueprint for new suites and a test design scorecard. Agents (test-code-critic, e2e-selector-quality-critic, framework-architecture-auditor, test-suite-health-auditor) review structure, assertions and mocking, selector fragility, framework architecture, and suite health. Production code is out of scope.

7 skills · 4 agents

13

Web E2E testing with Playwright, Cypress, Selenium and WebdriverIO, plus cloud grids, a self-hosted Selenium Grid 4, and cross-browser test matrices. Covers BrowserStack, Sauce Labs and LambdaTest, traffic-based T1/T2/T3 browser tiers, a framework decision guide, and Playwright's agent tooling (playwright-cli, Playwright MCP, planner/generator/healer Test Agents). Agents (playwright-codegen-reviewer, automation-harness-bootstrapper) refactor recorded Playwright or Cypress Studio specs and scaffold a full E2E harness for a repo with no suite.

9 skills · 2 agents

13

Similar plugins

Collection of example skills demonstrating various capabilities including skill creation, MCP building, visual design, algorithmic art, internal communications, web testing, artifact building, Slack GIFs, and theme styling

19 skills

anthropics/skills 193,780

Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification

1 command · 6 agents

anthropics/claude-code 155,476

storybook

claudecodex

Build, preview, and test UI components with Storybook.

7 skills

storybookjs/storybook 91,552

Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data

9 skills · 9 commands · 11 agents · 1 MCP server

ruvnet/ruflo 81,589

Automates browser interactions for web testing, form filling, screenshots, and data extraction

12 skills

vercel-labs/agent-browser 50,373

Install the "AAS QA & Test Automation" workflow plugin from Agentic Awesome Skills.

14 skills

sickn33/agentic-awesome-skills 49,620

Maintain qa-data-quality?

This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.

claude & codex plugins78 plugins