← 返回 Skills 市场

PowerfulHarp2041

Name: PowerfulHarp2041
Author: xuping2012

作者 xuping2012 · GitHub ↗ · v1.0.0

cross-platform ⚠ suspicious

279

总下载

当前安装

版本数

在 OpenClaw 中安装

/install test-effort-estimator

功能描述

This skill should be used when users need to estimate test effort based on product requirements. It analyzes requirements, breaks down tasks, estimates test...

使用说明 (SKILL.md)

Test Effort Estimator

Purpose

This skill provides a systematic approach to estimate test effort based on product requirements. It analyzes requirements, breaks them down into testable items, estimates effort for each phase (case design, first run, retest, regression), and generates an Excel report.

When to Use

Use this skill when users provide product requirements and need:

Test effort estimation for new features
Resource planning for testing phases
Detailed breakdown of testing activities
Excel export of effort estimates

How to Use

Step 1: Analyze Requirements

Read and understand the provided product requirements. Identify:

Functional modules and features
User stories and test scenarios
Complexity levels of different features

Step 2: Break Down Test Items

For each requirement, identify test items:

Test entry points and navigation
Data display and validation
User interactions and workflows
System operations and state changes

Step 3: Estimate Effort

Apply complexity-based estimation standards:

Simple Features (0.20-0.30 person-days for design):

Single function, clear logic
Few operation steps, simple data preparation
Examples: list display, simple navigation

Medium Features (0.35-0.40 person-days for design):

Multiple sub-functions, moderate complexity
Requires test data preparation
Examples: data filtering, user management

Complex Features (0.50 person-days for design):

Complex business logic, multiple interaction paths
Requires diverse test data, strong dependencies
Examples: online/offline binding, batch operations

Time Calculation Formulas:

Case Design: Simple 0.20-0.30, Medium 0.35-0.40, Complex 0.50
First Run: Simple 0.15-0.20, Medium 0.25-0.30, Complex 0.30-0.40
Retest: 33%-67% of first run, round to 0.10 minimum
Regression: 48%-67% of first run, round to two decimals

Step 4: Generate Excel Report

Use the bundled script scripts/generate_excel.py to create the Excel report with:

Requirement title
Requirement story/description
Case design time
First run time
Retest time
Regression time
Estimation rationale

Constraints

All time values must be >= 0.10 person-days
All time values must be rounded to two decimals
Total estimation error should be within 0.5 person-days of actual values
Minimum unit is 0.01 person-days

Bundled Resources

Scripts

scripts/generate_excel.py: Python script to generate Excel report from estimation data

References

references/complexity-standards.md: Detailed complexity classification criteria and examples
references/estimation-formulas.md: Complete formula documentation and calculation examples

Workflow

Load complexity standards from references/complexity-standards.md
Analyze requirements and identify test items
Apply estimation formulas based on complexity
Execute scripts/generate_excel.py to generate Excel report
Review and validate total estimates against constraints

安全使用建议

This skill appears to do what it says (estimate testing effort and produce an Excel). However: 1) The Python script depends on pandas (and an Excel writer) but the skill does not declare these dependencies or require Python — ensure your environment has Python and the necessary packages before running. 2) The code and sample data use Chinese text; provide inputs in the expected language or verify classification logic works for your input. 3) Run the script in a safe, write-permitted directory (it writes an Excel file) and review the generated Excel for correctness. 4) Because there is no install step, avoid letting an agent auto-install packages without user approval; explicitly inspect/approve any package installs (pip) if required. If you need stronger assurance, run the scripts in a sandbox or review/modify them locally to add explicit dependency checks (e.g., verify python and pandas versions) before executing.

功能分析

Type: OpenClaw Skill Name: test-effort-estimator Version: 1.0.0 The skill bundle is a legitimate tool designed to estimate software testing effort based on product requirements. The core logic in `scripts/generate_excel.py` uses keyword matching and predefined formulas to calculate person-days and exports the results to an Excel file using the pandas library. There is no evidence of data exfiltration, unauthorized network access, or malicious instructions in the documentation (SKILL.md) or scripts.

能力评估

ℹ Purpose & Capability

Name/description (test-effort-estimator) align with included code and reference docs. The two scripts, references, and SKILL.md all implement test-effort estimation and Excel export. Minor mismatch: SKILL metadata/title is in English while the code, sample data and references use Chinese strings—this is not malicious but could cause classification errors if input language differs. Also the skill bundles a Python script that requires pandas (and an Excel writer backend) but the skill declares no runtime dependencies or required binaries.

✓ Instruction Scope

SKILL.md instructs the agent to analyze requirements, apply formulas, and run the bundled generate_excel.py to produce an Excel report. The instructions do not request reading unrelated system files, accessing environment secrets, or network endpoints. The runtime behavior described matches what the bundled script does (process requirement items and write an Excel file).

⚠ Install Mechanism

There is no install specification. The bundled Python script uses pandas (and pandas.to_excel which typically requires an engine such as openpyxl or xlsxwriter). Because no dependencies or required binaries (python, pip, pandas, excel writer) are declared, an agent or user may attempt to run the script in an environment lacking them, leading to unexpected attempts to install packages or failure. This is an operational/packaging coherence issue rather than an active supply-chain red flag (no external download URLs or archives).

✓ Credentials

The skill requests no environment variables, no credentials, and no config paths. The code does not read environment or sensitive system configuration. No excessive credential access is requested.

✓ Persistence & Privilege

The skill does not request persistent presence (always: false) and does not modify other skills or global agent settings. The package_skill script writes an archive only when run locally; generate_excel.py writes an Excel file to the working directory. No elevated privileges are requested.

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 test-effort-estimator
安装完成后，直接呼叫该 Skill 的名称或使用 /test-effort-estimator 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 Test Effort Estimator skill. - Provides systematic estimation of test effort based on product requirements. - Breaks down features by complexity to estimate time for case design, first run, retest, and regression. - Exports detailed effort estimates and rationale to Excel via provided script. - Includes clear usage instructions and bundled references for standards and formulas. - Ensures time values meet minimum and rounding constraints for accuracy.

元数据

Slug test-effort-estimator

版本 1.0.0

许可证 —

累计安装 1

当前安装数 1

历史版本数 1

常见问题