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Agent Skill · 研究检索

gen-test-plan(基因测试计划)

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。

gen-test-plan 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 25,786。

总安装 3,694周安装 148GitHub Stars 公开资料未说明下载 1,196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
MIT-0
版本
1.0.1

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:gen-test-plan(基因测试计划)
来源仓库:https://github.com/anderskev/gen-test-plan
安装命令:
openclaw skills install gen-test-plan
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install gen-test-plan

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。通过 clawhub 安装,命令为 openclaw skills install gen-test-plan,建议查看原始 README 获取使用说明。

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。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

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 OpenClaw;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 openclaw skills install gen-test-plan;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

    它需要接触敏感数据,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

gen-test-plan 怎么安装?

在终端执行 openclaw skills install gen-test-plan。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gen-test-plan 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

gen-test-plan 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

gen-test-plan 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

gen-test-plan 用的人多吗?

公开数据是累计安装 3,694 次,近一周安装 148 次,下载 1,196 次。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。

gen-test-plan 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
gen-test-plan

基因测试计划 · 本页

3,694—接触敏感数据MIT-0有提醒

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

description
Analyze repo, detect stack, trace changes to user-facing entry points, generate E2E YAML test plan
name
gen-test-plan
disable-model-invocation
true

Generate Test Plan

Analyze the repository's tech stack, branch changes vs default, and generate an executable YAML test plan focused on user-facing impact.

This is an E2E test plan — not an automated test wrapper. The generated plan will be executed by an autonomous agent acting exactly as a human QA tester would: launching real binaries, hitting real endpoints, interacting with real databases, and verifying real observable behavior.

Critical Rule: No Automated Test Duplication

NEVER generate test steps that re-run the project's existing automated test suite. This means:

  • No cargo test, pytest, npm test, go test, mix test, or equivalent commands as test steps
  • No wrapping unit/integration test modules in a test case
  • No "run the tests and check they pass" — that's CI's job, not QA's

If you find yourself writing a test step that invokes the project's test runner, stop and rethink. Ask: "What would a human tester do to verify this feature works?" The answer is never "run the unit tests."

What E2E test steps look like:

  • Build the binary and run it with real arguments, check stdout/stderr/exit code
  • Start a server and hit it with curl
  • Run a CLI command that writes to a real database, then query the database to verify
  • Launch the TUI and verify it renders (via screenshot or process lifecycle)
  • Chain multiple commands that exercise a full user workflow end-to-end

Hard gates

Complete these in order. Do not advance to the next gate until its Pass condition is met (each pass should leave retrievable evidence: pasted command output, a written list, or the generated file on disk). Scheduling: Gate 1 before Step 2; Gate 2 before Step 5; Gate 3 before Step 7; Gates 4–5 during Step 8 (after the Step 7 summary).

  1. Diff and base pinned (after Step 1) — Resolve the base branch from --base when provided, otherwise use the repo default (main or master per Step 1). Compare HEAD to $(git merge-base HEAD origin/<base_branch>) (or equivalent if the remote ref differs). Pass: You record current_branch, base_branch, the merge-base SHA or range used, and changed_files from git diff --name-only <merge-base>..HEAD (empty list allowed if you paste or quote that output and state “no file changes vs base”).
  1. Trace complete (after Step 4) — Pass: Every affected entry point you will test has a Core functionality vs Configuration/admin classification, and the Step 4 requirement holds: at least one test targets a core entry point or you document why that is impossible and flag manual review.
  1. Plan file valid (after Step 6, before Step 7) — Pass: docs/testing/test-plan.yaml exists and the following command exits 0 (parses the YAML and asserts all four top-level keys are present — a single grep -E with alternations would pass on any one match, so do not substitute it):
    python3 -c "import sys, yaml; d = yaml.safe_load(open('docs/testing/test-plan.yaml')) or {}; missing = [k for k in ('version', 'metadata', 'setup', 'tests') if k not in d]; sys.exit('Missing keys: ' + ', '.join(missing) if missing else 0)"
  1. No automated-test duplication (Step 8) — Pass: Every run: step and every services: command: is scanned for project test runners (cargo test, pytest, npm test, go test, mix test, jest, vitest, mocha, etc.); zero invocations. If any appear, remove or replace them with real E2E actions and re-run Gate 3.
  1. Behavioral coverage (Step 8) — Pass: Re-read metadata.changes_summary and recent commit messages; at least one test’s context/steps exercises the primary user-visible behavior they describe. If they describe a capability (e.g., a new provider) but no step invokes it, add that test or fail verification.

Arguments

  • --base <branch>: Base branch to diff against (default: main)
  • Path: Target directory (default: current working directory)

Step 1: Gather Repository Context

# Get current branch
git rev-parse --abbrev-ref HEAD

# Resolve base branch: use --base if supplied, otherwise default (main → master)
BASE_BRANCH="${BASE_BRANCH:-$(git rev-parse --verify origin/main >/dev/null 2>&1 && echo main || echo master)}"
MERGE_BASE="$(git merge-base HEAD "origin/${BASE_BRANCH}")"

# Get changed files vs base
git diff --name-only "${MERGE_BASE}"..HEAD

# Get commit messages for context
git log --oneline "${MERGE_BASE}"..HEAD

Capture:

  • current_branch: Branch name
  • base_branch: Default branch to compare against
  • changed_files: List of modified files
  • commit_messages: What the PR is about

Step 2: Detect Tech Stack

See references/stack-discovery.md for stack detection commands, entrypoint discovery, port discovery, and trace rules.

Step 3: Discover User-Facing Entry Points

A "user-facing entry point" is anything a human interacts with: CLI subcommands, HTTP endpoints, UI routes, TUI screens, gRPC services, database migrations, or configuration files that affect runtime behavior.

CLI Applications (Rust/clap, Python/argparse/click, Go/cobra)

# Rust (clap) — look for Subcommand derives and command enums
grep -rn "Subcommand\|#\[command\]" --include="*.rs" | head -20

# Python (click/typer/argparse)
grep -rn "@click.command\|@app.command\|add_parser\|add_subparser" --include="*.py" | head -20

# Go (cobra)
grep -rn "cobra.Command\|AddCommand" --include="*.go" | head -20

Build a map of:

  • CLI subcommands: command name + description + file:line
  • Required arguments and flags per subcommand
  • Environment variables the binary reads (grep for env, std::env::var, os.Getenv, os.environ)

HTTP/API Services

Python (FastAPI/Flask):

grep -rn "@app\.\(get\|post\|put\|delete\|patch\)" --include="*.py" | head -20
grep -rn "@router\.\(get\|post\|put\|delete\|patch\)" --include="*.py" | head -20

Node.js (Express/Fastify):

grep -rn "app\.\(get\|post\|put\|delete\)" --include="*.ts" --include="*.js" | head -20
grep -rn "router\.\(get\|post\|put\|delete\)" --include="*.ts" --include="*.js" | head -20

Rust (axum/actix/rocket):

grep -rn "Router::new\|\.route(\|#\[get\]\|#\[post\]\|HttpServer" --include="*.rs" | head -20

Go (net/http, gin, chi):

grep -rn "http.HandleFunc\|r.GET\|r.POST\|router.Get\|router.Post" --include="*.go" | head -20

Elixir (Phoenix):

grep -rn "get \"/\|post \"/\|pipe_through\|live \"/\|scope \"/\"" --include="*.ex" | head -20

Browser UI Routes

grep -rn "createBrowserRouter\|<Route\|path=" --include="*.tsx" --include="*.jsx" | head -20

Database and Migrations

# SQL migrations
ls migrations/ db/migrate/ priv/repo/migrations/ 2>/dev/null
# Schema files
ls schema.sql schema.prisma 2>/dev/null

Build a consolidated map of:

  • CLI subcommands: name + args + file:line
  • API endpoints: method + path + file:line
  • UI routes: path + component + file:line
  • Database migrations: filename + what they create/alter
  • Configuration: env vars and config files that affect behavior

Step 4: Trace Changes to Entry Points

For each changed file, determine if it affects user-facing functionality:

  1. Direct entry point change — File contains route definitions
  2. Import chain analysis — Find what imports the changed file and trace up to entry points
  3. Architecture-aware tracing — Read the project's CLAUDE.md, README, or architecture docs to understand data flow and module relationships, rather than relying solely on grep
  4. Document the trace path in test context

Import Chain Analysis by Ecosystem

# Rust — use/mod/crate references and workspace deps
grep -rn "use.*<crate>\|mod <module>" --include="*.rs"
grep -rn "<crate-name>" --include="Cargo.toml"

# Python — from/import
grep -rn "from.*<module>\|import.*<module>" --include="*.py"

# TypeScript/JavaScript — import/require
grep -rn "from.*<module>\|require.*<module>" --include="*.ts" --include="*.tsx" --include="*.js" --include="*.jsx"

# Elixir — alias/import/use
grep -rn "alias.*<Module>\|import.*<Module>\|use.*<Module>" --include="*.ex" --include="*.exs"

# Go — package references
grep -rn "<package>\." --include="*.go"

If the ecosystem is not covered above, or grep results are inconclusive, read the project's CLAUDE.md, README, or architecture docs to understand the module graph and trace the data flow from changed files to user-facing entry points.

Classify Affected Entry Points

After identifying all affected entry points, classify each one:

CategoryDescriptionExamplesPriority
Core functionalityEntry points where the feature does its actual work for the end userChat endpoint, API action, data processing pipeline, generation flowHigh — test first
Configuration/adminEntry points where the feature is set up, toggled, or configuredSettings page, admin dashboard, preference toggles, dropdown selectionsLower — test after core

Classification rules:

  • Ask: "If a user wanted to *use* this feature (not configure it), which entry point would they interact with?" — that's core functionality
  • A settings page that adds a new dropdown option is configuration; the endpoint that actually *uses* that option is core functionality
  • The same changed file (e.g., a new provider module) may affect both a settings page and a functional endpoint — both must be traced

Requirement: At least one test must target a core functionality entry point before generating configuration/admin tests. If no core functionality entry point can be identified, explicitly document why and flag this for manual review.

Output: For each affected entry point, document:

  • Which changed files affect it
  • The import/dependency chain
  • Classification: Core functionality or Configuration/admin
  • Why this entry point needs testing

Step 5: Generate Test Cases

See references/test-case-generation.md for the detailed API/browser templates, prioritization rules, and test-case guidelines.

Step 6: Write YAML Test Plan

Create the test plan file:

mkdir -p docs/testing

Write to docs/testing/test-plan.yaml:

version: 1
metadata:
  branch: <current_branch>
  base: <base_branch>
  generated: <ISO timestamp>
  changes_summary: |
    <Summary of what this PR changes based on commit messages and diff>

setup:
  stack:
    - type: <rust|node|python|go|elixir|docker>
      package_manager: <cargo|pnpm|npm|yarn|uv|poetry|mix|none>
  prerequisites:
    # Services or infrastructure the tests need running
    - name: <e.g., PostgreSQL>
      check: <command to verify it's available, e.g., "pg_isready -h localhost">
  build:
    # Commands to build the project artifacts (binaries, assets, etc.)
    - <build command, e.g., "cargo build --workspace">
  services:
    # Long-running processes to start before tests (servers, watchers, etc.)
    # Omit if the project is a CLI tool or library with no server component
    - command: <start command>
      health_check:
        url: http://localhost:<port>/health
        timeout: 30
  env:
    # Environment variables needed by tests (use ${VAR} for secrets)
    DATABASE_URL: "${DATABASE_URL}"

tests:
  # CLI test example — run the built binary with real arguments:
  - id: TC-01
    name: <CLI test name>
    context: |
      <Why this test exists, which changes affect it>
    steps:
      - run: <command that a human would type in their terminal>
      - run: <follow-up command to verify the effect>
    expected: |
      <Expected behavior: exit code, stdout content, side effects>

  # API test example:
  - id: TC-02
    name: <API test name>
    context: |
      <Why this test exists, which changes affect it>
    steps:
      - action: curl
        method: GET
        url: http://localhost:<port>/<path>
    expected: |
      <Expected behavior in natural language>

  # Database verification example:
  - id: TC-03
    name: <Database test name>
    context: |
      <Why this test exists, which changes affect it>
    steps:
      - run: <command that writes to the database>
      - run: psql "${DATABASE_URL}" -c "SELECT ... FROM ... WHERE ..."
    expected: |
      <Expected rows, schema state, or migration effect>

  # Browser test example (always use agent-browser CLI commands):
  - id: TC-04
    name: <UI test name>
    context: |
      <Why this test exists, which changes affect it>
    steps:
      - run: agent-browser open http://localhost:<port>/<path>
      - run: agent-browser snapshot -i
      - run: agent-browser click @<ref>
      - run: agent-browser snapshot -i
      - run: agent-browser screenshot evidence/tc-04.png
    expected: |
      <Expected behavior in natural language>
    evidence:
      screenshot: evidence/tc-04.png

Step 7: Report Summary

After generating the test plan:

## Test Plan Generated

**File:** `docs/testing/test-plan.yaml`
**Branch:** <current_branch> → <base_branch>

### Detected Stack

| Component | Type | Port |
|-----------|------|------|
| <component> | <type> | <port> |

### Tests Generated

| ID | Name | Type | Affected By |
|----|------|------|-------------|
| TC-01 | <name> | curl/browser | <files> |

### Entry Point Coverage

- **Covered:** <N> entry points with tests
- **Unchanged:** <M> entry points not affected by this PR

### Next Steps

1. Review the generated test plan at `docs/testing/test-plan.yaml`
2. Adjust test values and expectations as needed
3. Run tests with:

/beagle-testing:run-test-plan

Step 8: Verification

Confirm Hard gates 1–5 are satisfied with evidence (see Hard gates above) before treating the plan as complete. Then run:

# Verify file was created
ls -la docs/testing/test-plan.yaml

# Validate YAML syntax
python3 -c "import yaml; yaml.safe_load(open('docs/testing/test-plan.yaml'))" && echo "Valid YAML"

# Check required fields
grep -E "^version:|^metadata:|^setup:|^tests:" docs/testing/test-plan.yaml

Verification Checklist:

  • [ ] Test plan file created at docs/testing/test-plan.yaml
  • [ ] YAML is syntactically valid
  • [ ] At least one test case generated
  • [ ] Setup commands match detected stack
  • [ ] Each test has id, name, steps, and expected fields
  • [ ] No automated test duplication: Grep every run: and command: step in the plan for test runner invocations (cargo test, pytest, npm test, go test, mix test, jest, vitest, mocha, etc.). If ANY step invokes the project's test runner, the plan fails verification. Remove those steps and replace them with real E2E actions.
  • [ ] Behavioral coverage: At least one test exercises the primary behavioral change described in changes_summary. Re-read the changes_summary and commit messages — if they describe a capability (e.g., "adds Claude Code as a new LLM provider") but no test invokes that capability (e.g., sends a message through the provider), the plan fails verification. Add the missing core functionality test before completing.
  • [ ] No config-only plans: If all tests target configuration/admin entry points and zero tests target core functionality entry points, the plan is incomplete. Go back to Step 4, identify the core functionality entry points, and add tests for them.

Rules

  • E2E only — every test step must exercise the real built artifact (binary, server, UI) as a human would. Never wrap automated test suites.
  • Always create docs/testing/ directory if it doesn't exist
  • Generate at least one test per affected entry point
  • Include context explaining why each test matters (trace from changes)
  • Use natural language for expected field (agent will interpret)
  • CLI projects: Test steps should invoke the actual binary with real arguments and verify stdout, stderr, exit codes, and side effects (files created, database rows written, processes spawned)
  • Server projects: Start the server in setup, test via curl/agent-browser
  • Library-only projects with no binary or server: If the change is purely internal library code with no user-facing entry point (no CLI, no server, no UI), state this explicitly and generate tests that exercise the library through its public API via a small driver script — not by running the test suite
  • Default to conservative port detection (8000 for API, 5173/3000 for frontend)
  • Browser automation steps MUST use agent-browser CLI commands (e.g., agent-browser open, agent-browser snapshot -i, agent-browser click @ref) — never use abstract action syntax
  • Always agent-browser snapshot -i before interacting with elements and after navigation/DOM changes
  • Use agent-browser screenshot <path> to capture evidence for browser tests
  • Use ${ENV_VAR} syntax for secrets, never hardcode credentials
  • If no user-facing changes detected, explain why and suggest manual verification

平台分布

OpenClaw

70.8%
按下载量换算847

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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