learning-playwright-jenkins
Playwright automation framework integrated with Docker and Jenkins CI/CD.
Install / Use
claude mcp add raj6413 -- npx -y github:raj6413/learning-playwright-jenkinsIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of learning-playwright-jenkins
learning-playwright-jenkins scores 43/100 on our quality scale, 2806th of 2,880 Automation skills we index.
Its MCP Server is 3.5 KB long, written without headings and no code examples: a solid amount of guidance for an agent.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-11-08. Automated pattern scan on 2026-11-08. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
learning-playwright-jenkins compared with similar skills
All 4 of these similar skills score higher than learning-playwright-jenkins; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| learning-playwright-jenkins (this skill)by raj6413 | 43 | 0 | — | MCP Server |
| Agent-Reachby Panniantong | 100 | 110.0k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.1k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.8k | 1d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 99.4k | 2d ago | MCP Server |
Frequently asked questions
- How do I install learning-playwright-jenkins?
- Run
claude mcp add raj6413 -- npx -y github:raj6413/learning-playwright-jenkins. The install tabs above show the steps for each supported agent. - Which AI agents does learning-playwright-jenkins work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is learning-playwright-jenkins safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is learning-playwright-jenkins still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHub{ "name": "learning_playwright", "version": "1.0.0", "description": "", "main": "index.js", "scripts": { "test": "npx playwright test", "test:chromium": "npx playwright test --project chromium", "test:smoke": "npx playwright test --grep @smoke", "test:local": "BASE_URL=http://localhost:4200 npx playwright test", "test:report": "npx playwright test && npx playwright show-report", "test:ui": "npx playwright test --ui", "test:smoke:firefox": "npx playwright test --project firefox --grep @smoke", "test:spec:webkit": "npx playwright test --plroject=webkit tests/UI-Test/happpy-path.spec.ts", "test:headed": "npx playwright test --headed", "test:debug": "npx playwright test --debug", "smoke": "npx playwright test --grep @smoke", "regression": "npx playwright test --grep @regression", "chromium": "npx playwright test --project=chromium", "firefox": "npx playwright test --project=firefox", "webkit": "npx playwright test --project=webkit", "allure": "npx allure serve reports/allure-results", "report": "npx playwright show-report", "pact:consumer": "playwright test --config=playwright.pact.config.ts consumer.pact.spec.ts", "pact:provider": "playwright test --config=playwright.pact.config.ts provider.pact.spec.ts", "pact:demo": "npm run pact:consumer && npm run pact:provider", "qe:failure-agent": "tsx utils/qe-failure-agent.ts", "qe:triage": "tsx utils/qe-failure-triage.ts", "qe:analysis": "tsx utils/qe-ai-analysis.ts", "qe:history": "tsx utils/qe-run-history.ts", "qe:intelligence": "tsx utils/qe-failure-intelligence.ts", "qe:gate": "tsx utils/qe-quality-gate.ts", "qe:test-design": "tsx utils/ai-test-design/qe-test-design-agent.ts", "qe:test-to-code": "tsx utils/ai-test-design/qe-test-to-code.ts", "qe:impact": "tsx ai-test-impact-analysis-agent/qe-impact-analysis.ts", "qe:api-contract": "tsx api-contract-analysis-agent/utils/qe-api-contract-agent.ts", "qe:test-data": "tsx ai-test-data-management-agent/utils/qe-test-data-agent.ts", "qe:performance": "tsx perf-eng-intelligence-agent/utils/qe-performance-agent.ts", "qe:orchestrator": "tsx qe-intelligence-orchestrator/utils/qe-orchestrator.ts", "qe:ai-eval": "tsx qe-ai-agent-evaluation/utils/qe-ai-evaluation.ts", "qe:mcp": "node --import tsx mcp/qe-mcp-server.ts", "qe:rag:index": "tsx RAG/utils/qe-rag.ts index", "qe:rag:ask": "tsx RAG/utils/qe-rag.ts ask", "qe:orchestrator:rag": "npm run qe:orchestrator && npm run qe:rag:index", "qe:code-review": "tsx qe-code-reviewer-agent/utils/qe-playwright-code-reviewer.ts", "qe:agentic": "tsx qe-agentic-controller/utils/qe-agentic-controller.ts", "qe:mcp:playwright": "tsx qe-playwright-mcp-agent/utils/qe-playwright-mcp-agent.ts" }, "keywords": [], "author": "", "license": "ISC", "devDependencies": { "@axe-core/playwright": "^4.14.0", "@modelcontextprotocol/server": "^2.4.0", "@pact-foundation/pact": "^17.1.4", "@playwright/test": "^1.61.0", "@types/express": "^5.0.6", "@types/node": "^24.7.1", "@types/pg": "^8.23.1", "@typescript-eslint/eslint-plugin": "^8.65.0", "@typescript-eslint/parser": "^8.65.0", "ajv": "^8.20.0", "dotenv": "^17.2.3", "eslint": "^10.8.0", "eslint-config-prettier": "^10.1.8", "express": "^5.3.0", "prettier": "^3.9.6", "tsx": "^4.23.15" }, "dependencies": { "@modelcontextprotocol/client": "^2.4.0", "allure-playwright": "^3.10.2" } }
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.