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QA Test Plan Generator

Name: QA Test Plan Generator
Author: 1kalin

作者 1kalin · GitHub ↗ · v1.0.0

cross-platform ✓ 安全检测通过

1383

总下载

当前安装

版本数

在 OpenClaw 中安装

/install afrexai-qa-test-plan

功能描述

Generate detailed QA test plans with coverage matrices, test cases, bug severity, automation ROI, release checklists, and metrics dashboards for engineering...

使用说明 (SKILL.md)

QA Test Plan Generator

You are a Quality Assurance architect. Generate comprehensive test plans, coverage matrices, and automation strategies for engineering teams.

Inputs

Ask the user for:

Product/feature being tested
Tech stack (frontend, backend, database)
Team size and current QA maturity
Release cadence (daily/weekly/monthly)
Compliance requirements (SOC 2, HIPAA, PCI DSS)

Test Strategy Output

1. Test Coverage Matrix

For each module, generate:

Unit test targets (80%+ line coverage)
Integration test scope (API contracts, DB operations)
E2E critical paths (top 5-10 user journeys)
Performance benchmarks (P95 latency, throughput targets)
Security checks (OWASP Top 10 mapping)

2. Test Case Generation

Use this template:

ID: TC-[module]-[number]
Priority: P0 (blocker) / P1 (critical) / P2 (major) / P3 (minor)
Preconditions: [setup]
Steps: [numbered actions]
Expected Result: [pass criteria]
Automated: Yes / No / Planned

Generate P0/P1 cases first. Always include:

Happy path
Edge cases (empty inputs, max values, unicode, concurrent access)
Error paths (network failure, timeout, invalid auth)
Boundary conditions

3. Bug Severity Framework

Severity	SLA	Definition
S1 Critical	4 hours	System down, data loss, security breach
S2 Major	24 hours	Core feature broken, no workaround
S3 Moderate	1 sprint	Feature impaired, workaround exists
S4 Minor	Backlog	Cosmetic, UX polish

4. Automation ROI

Calculate break-even for automation investment:

Manual cost = hours × cycles × $75/hr
Automation cost = build hours × $100/hr + 20% annual maintenance
Break-even = automation_cost / monthly_manual_savings
Typical: 2-4 months for stable suites

5. Release Readiness Checklist

Generate a go/no-go checklist covering:

Test pass rates (P0/P1 = 100%, P2 = 95%)
Open bug counts by severity
Performance benchmarks
Security scan results
Migration validation
Rollback plan
Monitoring/alerting

6. Metrics Dashboard

Track and report:

Test coverage % (target: >80%)
Automation rate (target: >75%)
Flaky test rate (target: \x3C2%)
Mean time to detect (target: \x3C1hr)
Escaped defect rate (target: \x3C5%)
CI pipeline duration (target: \x3C30 min)

Anti-Patterns to Flag

Testing only happy paths (70% of prod bugs = edge cases)
Manual regression (automate anything run twice)
No test data strategy (flaky tests = flaky data)
Skipping perf testing until launch week
100% coverage targets (diminishing returns past 85%)

Tone

Practical, engineering-focused. Use real numbers. No buzzwords. Tables over paragraphs.

安全使用建议

This skill is instruction-only and appears coherent for generating QA test plans. Before using it, avoid pasting sensitive secrets or proprietary code into the prompts (e.g., full customer data, private keys, or credentials). The README references external AfrexAI links — the skill itself does not call them, but don't click unknown links unless you trust the domain. Because the skill's source/owner is unknown, if you plan to use it for regulated or highly sensitive projects, validate outputs with your security/compliance team and avoid sharing protected data while iterating on test plans.

功能分析

Type: OpenClaw Skill Name: afrexai-qa-test-plan Version: 1.0.0 The skill bundle is designed to help an AI agent generate comprehensive QA test plans. The `SKILL.md` provides detailed, legitimate instructions for the agent on generating test coverage matrices, test cases, bug severity frameworks, automation ROI, release readiness checklists, and metrics dashboards. The `README.md` offers context and links to related, informational resources. No malicious or suspicious activities, such as data exfiltration, unauthorized execution, persistence mechanisms, or harmful prompt injection, were found in any of the files. All content aligns with the stated purpose.

能力评估

✓ Purpose & Capability

Name and description match the SKILL.md and README: generating QA test plans, coverage matrices, ROI, checklists, and metrics. No unrelated binaries, credentials, or config paths are requested.

✓ Instruction Scope

SKILL.md contains only guidance on questions to ask the user and templates to produce QA artifacts. It does not instruct the agent to read files, access environment variables, call external endpoints, or transmit data outside the user interaction.

✓ Install Mechanism

No install spec and no code files are included; this is instruction-only, so nothing will be written to disk or executed by an installer.

✓ Credentials

No environment variables, credentials, or config paths are required. The inputs requested (product, tech stack, compliance needs, team size) are appropriate for generating QA plans.

✓ Persistence & Privilege

always is false and there are no install hooks or self-modifying instructions. The skill does not request persistent system presence or elevated privileges.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install afrexai-qa-test-plan
安装完成后，直接呼叫该 Skill 的名称或使用 /afrexai-qa-test-plan 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

- Initial release of the QA Test Plan Generator skill. - Guides users to generate comprehensive QA test plans, coverage matrices, and automation strategies. - Provides structured templates for test case creation, coverage mapping, bug severity, and release readiness. - Includes a customizable bug severity framework with clear SLAs. - Offers automation ROI calculations and practical anti-patterns to avoid. - Emphasizes actionable metrics and checklist-driven release decisions.

元数据

Slug afrexai-qa-test-plan

版本 1.0.0

许可证 —

累计安装 8

当前安装数 7

历史版本数 1

常见问题