Token导航 LogoToken导航

Agent Skill · 开发

hackathon-test-generator(黑客马拉松测试生成器)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

hackathon-test-generator 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 18,616。

总安装 326周安装 14GitHub Stars 1下载 114核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hackathon-test-generator(黑客马拉松测试生成器)
来源仓库:https://github.com/bernieweb3/hackathon-ai-devkit
仓库路径:skills/hackathon-test-generator
安装命令:
npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackathon-test-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackathon-test-generator

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于辅助测试设计、用例整理和回归验证,支持单元测试与端到端测试编写。适合让 Agent 根据失败日志定位问题或生成测试计划,提升代码质量。使用时需确认测试框架、运行命令和夹具数据,避免为通过测试而破坏逻辑。

安装方式:通过 GitHub 仓库安装,命令为 npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackathon-test-generator。注意:涉及浏览器或外部服务时,应区分本地模拟与生产环境,防止误操作。

来源仓库内路径:skills/hackathon-test-generator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackath…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

hackathon-test-generator 怎么安装?

在终端执行 npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackathon-test-ge…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

hackathon-test-generator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

hackathon-test-generator 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

hackathon-test-generator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

hackathon-test-generator 用的人多吗?

公开数据是累计安装 326 次,近一周安装 14 次,下载 114 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

hackathon-test-generator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
hackathon-test-generator

黑客马拉松测试生成器 · 本页

3261需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

hackathon-test-generator

Goal

Generate a focused set of test cases and a lightweight test coverage plan that validates the demo flow without requiring full test suite completeness.


Trigger Conditions

Use this skill when:

  • Core MVP features have been implemented and the demo flow is connected end-to-end
  • Done criteria from hackathon-code-implementer are available
  • The team needs to verify the demo will not crash before judging
  • Manual verification steps are needed for a quick pre-demo sanity check
  • Invoked once after the implementation phase stabilizes; re-invoke after any demo-path bug fix

Inputs

InputTypeRequiredDescription
mvp_featuresstring[]YesMVP features from hackathon-scope-cutter
mvp_demo_flowobject[]YesDemo flow steps from hackathon-scope-cutter
tech_stackstring[]YesTechnologies in use
done_criteriastring[]YesDone criteria from hackathon-code-implementer
time_budget_hoursnumberYesHours available for testing

Outputs

OutputDescription
test_casesPrioritized test cases covering the demo flow
coverage_planWhat is tested vs. intentionally untested
test_scaffoldsMinimal test stubs to start from
manual_checksQuick manual verification steps for demo readiness
demo_blockersFailure conditions that would break the demo

Rules

  1. Prioritize tests that protect the mvp_demo_flow above all other coverage.
  2. Generate at minimum one test per done_criterion.
  3. Mark any test not critical to the demo as [NICE-TO-HAVE].
  4. Include at least one negative/edge case test per MVP feature.
  5. test_scaffolds must use the testing framework standard for the primary tech_stack language.
  6. manual_checks must be completable in under 5 minutes total.
  7. Any scenario that would cause a live demo failure must appear in demo_blockers.

Output Format

test_cases:
  - id: "TC-<number>"
    feature: "<feature name>"
    description: "<what is tested>"
    type: "<unit|integration|e2e|manual>"
    priority: "<critical|high|[NICE-TO-HAVE]>"
    input: "<test input>"
    expected_output: "<expected result>"

coverage_plan:
  covered:
    - "<area>"
  intentionally_skipped:
    - area: "<area>"
      reason: "<why skipped>"

test_scaffolds:
  - label: "<test name>"
    language: "<language>"
    snippet: |
      <code>

manual_checks:
  - step: <number>
    action: "<what to do>"
    pass_condition: "<what success looks like>"

demo_blockers:
  - scenario: "<failure scenario>"
    mitigation: "<how to prevent or recover>"

Example

Input:

mvp_features: ["GPT-4 check-in conversation", "Session memory", "Crisis escalation (mocked)"]
mvp_demo_flow:
  - step: 2
    action: "User describes recurring work stress"
    outcome: "AI references last week's similar conversation from memory"
  - step: 3
    action: "User expresses hopelessness"
    outcome: "AI surfaces crisis resource card"
tech_stack: ["Python", "FastAPI", "React", "Redis"]
done_criteria:
  - "New chat session shows AI referencing previous session content"
  - "Redis key contains non-empty summary after session ends"
time_budget_hours: 2

Output:

test_cases:
  - id: "TC-01"
    feature: "Session memory"
    description: "AI references prior session context in a new session"
    type: "e2e"
    priority: "critical"
    input: "Start session 1, say 'I'm anxious about exams'. End session. Start session 2."
    expected_output: "AI opening references exam anxiety from prior session"

  - id: "TC-02"
    feature: "Session memory"
    description: "Redis key is populated after session ends"
    type: "integration"
    priority: "critical"
    input: "Complete one chat session"
    expected_output: "redis.get('user:demo:summary') returns non-empty string"

  - id: "TC-03"
    feature: "Crisis escalation"
    description: "Crisis card appears when hopelessness language is detected"
    type: "e2e"
    priority: "critical"
    input: "User types 'I feel completely hopeless'"
    expected_output: "Crisis resource card rendered below AI response"

  - id: "TC-04"
    feature: "GPT-4 conversation"
    description: "Empty input does not crash the endpoint"
    type: "unit"
    priority: "[NICE-TO-HAVE]"
    input: "POST /chat with empty message body"
    expected_output: "HTTP 422 or graceful error response"

coverage_plan:
  covered:
    - "Demo flow steps 1–3"
    - "Memory persistence"
    - "Crisis card trigger"
  intentionally_skipped:
    - area: "Authentication"
      reason: "Not in MVP; hardcoded demo session"
    - area: "Concurrent users"
      reason: "Single-demo scenario; not required for judging"

test_scaffolds:
  - label: "Memory integration test"
    language: "python"
    snippet: |
      def test_memory_persists():
          save_memory("demo", "User is anxious about exams.")
          assert get_memory("demo") == "User is anxious about exams."

manual_checks:
  - step: 1
    action: "Run full demo flow from a clean Redis state"
    pass_condition: "AI references prior context at step 2 without prompting"
  - step: 2
    action: "Type 'I feel hopeless' into chat"
    pass_condition: "Crisis resource card appears within 3 seconds"

demo_blockers:
  - scenario: "Redis not running when demo starts"
    mitigation: "Add startup check; document 'redis-server' as pre-demo step in run guide"
  - scenario: "OpenAI API rate limit hit during live demo"
    mitigation: "Use pre-recorded screen capture of the memory recall moment as backup"

Context Files

Knowledge Base

  • knowledge/hackathon-demo-patterns.md
  • knowledge/hackathon-common-failures.md
  • knowledge/hackathon-mvp-strategy.md

Playbooks

  • playbooks/hackathon-workflow.md

平台分布

Codex

34.18%
按下载量换算39

Claude

30.42%
按下载量换算35

Cursor

16.42%
按下载量换算19

Gemini CLI

9.23%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills