newmanAutomated API testing with Postman collections via Newman CLI. Use when user requests API testing, collection execution, automated testing, CI/CD integration, or mentions "Postman", "Newman", "API tests", "run collection", or "automated testing".
Install via ClawdBot CLI:
clawdbot install 1999azzar/newmanGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Post → https://learning.postman.com/Calls external URL not in known-safe list
https://api.example.comUses known external API (expected, informational)
slack.comAI Analysis
The skill definition is a legitimate technical guide for the Newman CLI tool. The flagged external URLs (learning.postman.com, api.example.com, slack.com) appear in example code snippets for documentation purposes, not as active data sinks. There is no evidence of credential harvesting, hidden instructions, or obfuscation.
Generated Mar 21, 2026
Integrate Newman into CI/CD pipelines like GitHub Actions or Jenkins to automatically run API tests on every code push or deployment. This ensures API reliability in staging and production environments, catching regressions early and providing automated test reports for quality assurance.
Use Newman with CSV or JSON data files to perform data-driven testing on APIs, such as validating multiple user logins or product entries. This allows for scalable testing of edge cases and parameter variations, improving test coverage without manual intervention.
Leverage Newman's iteration and delay options to simulate load on APIs by running collections multiple times with controlled request intervals. This helps assess API performance under stress, identify bottlenecks, and ensure scalability for high-traffic applications.
Utilize Newman to automate security tests by running collections that validate authentication, authorization, and data encryption in APIs. This supports compliance audits by generating detailed reports on security vulnerabilities and access controls.
Employ Newman with parallel runners to execute multiple API test collections simultaneously, reducing overall testing time in large-scale projects. This is ideal for regression testing suites where speed and efficiency are critical for rapid development cycles.
Offer Newman as part of a SaaS testing platform that provides automated API testing, reporting, and integration services. Generate revenue through subscription tiers based on usage limits, advanced features like parallel execution, and premium support for enterprise clients.
Provide consulting services to help businesses integrate Newman into their development workflows, including custom script development and CI/CD setup. Revenue comes from hourly rates or project-based fees for training sessions and ongoing support.
Develop and sell plugins or extensions that integrate Newman with enterprise tools like JIRA, Slack, or monitoring systems. Monetize through one-time purchases or annual licenses for enhanced reporting, alerting, and workflow automation features.
💬 Integration Tip
Start by exporting a simple Postman collection and running it with Newman locally to understand basic commands, then gradually add environments and reporters for more advanced workflows.
Scored Apr 19, 2026
Audited Apr 16, 2026 · audit v1.0
Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label b...
全功能智能股票监控预警系统。支持成本百分比、均线金叉死叉、RSI超买超卖、成交量异动、跳空缺口、动态止盈等7大预警规则。符合中国投资者习惯(红涨绿跌)。
Essential SSH commands for secure remote access, key management, tunneling, and file transfers.
Deploy applications and manage projects with complete CLI reference. Commands for deployments, projects, domains, environment variables, and live documentation access.
Full desktop computer use for headless Linux servers. Xvfb + XFCE virtual desktop with xdotool automation. 17 actions (click, type, scroll, screenshot, drag,...
Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.