在Django发布或提交变更提案前,依次检查环境、代码质量、数据库变更、测试、漏洞及配置,汇总各阶段是否通过和需要修复的问题。
- 提交Django变更提案前检查
- 检查数据库迁移
- 核对测试覆盖率目标
测试设计、漏洞检测、质量保证(1.3万 个)
在Django发布或提交变更提案前,依次检查环境、代码质量、数据库变更、测试、漏洞及配置,汇总各阶段是否通过和需要修复的问题。
检查Django应用的登录、权限、输入处理和生产配置,梳理恶意查询、脚本注入及非预期请求的防护,并审查文件上传、API保护、密钥管理和安全日志。
协助编写和修复C++测试,配置GoogleTest与CTest,调查失败或结果不稳定的原因,并测量测试覆盖范围、配置检测内存误用与并发竞争的运行时检查。
Write and review C# and .NET tests using xUnit examples. Covers unit tests, mocks that replace dependencies, API and database integration tests, reusable test data, and project organization to check behavior and outcomes.
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Have an AI agent assess its completed work for accuracy, completeness, clarity, actionability, and conciseness. Receive a scorecard with evidence, an average score, and prioritized improvements tied to the original request.
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用实际开发任务比较多个编程智能体,记录成功率、可获取的API费用、耗时和重复运行的稳定性,为工具选型及更新后的性能评估提供数据。
通过浏览器检查发布前的网页,测试表单与登录流程,对比三种屏幕宽度下的显示效果,检查速度指标和无障碍问题,并汇总是否可以发布及需要修复的问题。
为AI修改的代码补充回归测试,自动检查API必需字段和处理分支,并建立先运行测试与构建、再进行AI审查的流程,检测已修复问题是否再次出现。
Measure web page speed, API response times, and build or test duration. Save baseline measurements as JSON tracked in Git, then compare results before and after changes to identify performance regressions and assess launch targets.
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Trace button clicks and form actions through each state change to uncover conflicting updates, unintended resets, and asynchronous timing problems. Report where the final screen behavior differs from what the user expects, with specific fixes.
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Investigate suspected malicious changes in open-source software on GitHub by comparing repository history, APIs, and archives. Attempt to recover deleted evidence, identify signs of compromise, and produce a report separating verified facts from hypotheses.
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Test how API-accessible language models respond to attempts to bypass safety filters. The skill covers prompt templates, input transformations, parallel response comparisons, and Hermes configuration, with automated scoring of refusals, answer quality, and speed.
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Find personal information exposed on data brokers and people-search sites, then manage removal requests for consenting individuals. Tracks submissions, checks whether listings disappear, schedules repeat scans, and collects steps that require human help.
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Test an authorized web application, map its exposed pages and inputs, and verify suspected vulnerabilities with reproducible evidence. Produce a security report covering confirmed findings, their impact, reproduction steps, and suggested fixes.
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Set up the 1Password CLI and use stored passwords or API keys in commands and configuration templates. Choose an authentication method, retrieve secret references, and pass credentials to processes through environment variables.
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Test an app from the perspective of a frustrated, less technical user. Find confusing steps and barriers, separate actionable usability problems from personal complaints, and produce screenshots, suggested fixes, and prioritized tickets.
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Guide development through test-driven development (TDD): write a test, confirm it fails, add minimal code, then clean up. Apply this cycle to features and bug fixes while checking that existing behavior still passes its tests.
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Check code changes before committing with security scans, tests, linting, and an independent agent review. Compare failures against the previous baseline, then use a separate agent to fix reported problems and repeat verification.
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Explore a web app in the browser to find functional, visual, and usability issues. The skill organizes screenshots, console errors, and reproduction steps into a Markdown bug report, with findings grouped by severity and category.
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Independently reviews deliverables handed over through Kanban, checks them against acceptance criteria and test evidence, and records an approval, actionable change request, or escalation when a human decision or external prerequisite is needed.
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Test local web applications with Playwright, a browser automation tool. Check frontend functionality, investigate interface behavior, capture screenshots, and inspect browser logs, with a helper script that manages one or more application servers during testing.
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Review a codebase for bugs, security risks, failures under expected load, missing tests, slow paths, and unnecessary code. Receive prioritized findings with concrete failure cases, small proposed fixes, and the consequences of leaving each issue unresolved.
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Plan a paid evaluation with predefined success criteria, comparison groups, decoy items, and stopping rules. Rehearse without spending, then run a three-item paid pilot and use its spending table to inform approval.
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Audit an existing test suite to find low-value or duplicate tests and code kept solely for those tests. Receive findings for review, with changes limited to batches you explicitly approve.
中文简介正在准备中。当前显示英语简介。