Test Case Reviewer

naodeng/test-case-reviewer

Use this skill when you need to review test cases for completeness, clarity, maintainability, and missing scenarios; triggers include test case review and test case QA.

8k tokens

context cost

the whole folder, loaded on every use

files

ships runnable scripts

copies elsewhere

how many repositories repackaged it

144

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/naodeng/awesome-qa-skills --skill test-case-reviewer

What comes with it

30 957 bytes besides the instruction

README.md

agents/openai.yaml

evals/cases/basic-success.yaml

evals/cases/edge-incomplete-input.yaml

evals/cases/edge-risk-priority.yaml

evals/eval.yaml

output-formats.md

output-templates/template-csv.csv

output-templates/template-excel.tsv

output-templates/template-json.json

output-templates/template-markdown.md

output-templates/template-word.md

output-templates/template-xmind.md

prompts/test-case-reviewer.md

scripts/batch_convert_templates.py

scripts/convert_formats.py

scripts/convert_output_formats.py

scripts/convert_to_csv.py

scripts/convert_to_excel.py

scripts/convert_to_json.py

scripts/convert_to_markdown.py

scripts/convert_to_word.py

scripts/convert_to_xmind.py

scripts/parse_csv.py

scripts/parse_excel.py

scripts/parse_formats.py

scripts/parse_json.py

scripts/parse_markdown.py

scripts/parse_output_formats.py

scripts/parse_word.py

scripts/parse_xmind.py

The instruction itself

7 sections, as written by the author

Test Case Review

中文版： See the corresponding Chinese skill.

When to Use

Need help with test case reviewer in a real project context.
Need an output that can be used directly for execution, review, or follow-up.

Workflow

Read and follow the main prompt listed under Progressive disclosure (coverage, structure, quality bar).
Add only project context that changes the result: scope, environment, constraints, risks, dependencies, expected deliverable.
If input is incomplete, return a usable first draft and explicitly mark assumptions and gaps.
Default to Markdown; switch formats only when the user asks.

Core Constraints

Prioritize by risk / business impact — do not treat everything equally.
Separate confirmed facts from current assumptions.
Do not invent endpoints, fields, environments, or root causes the user did not provide.
Keep output executable: concrete scenarios, clear priority, clear next steps.

Progressive Disclosure

Before producing output, read and follow prompts/test-case-reviewer.md (minimum coverage, output structure, quality bar).
When Excel/CSV/JSON/Word is requested: read output-formats.md and honor the format.
When a ready-made template fits: use matching files under output-templates/.
For format conversion or helper checks: prefer existing scripts/ over reinventing.
For evaluating/regressing this skill: use evals/ with skill-up.

Pre-delivery Checklist

[ ] Followed the main prompt's output structure
[ ] Minimum coverage focus: coverage gaps, missing positive scenarios, missing negative scenarios, missing boundary scenarios, traceability to requirements, step clarity, expected result quality, data quality, ... (details in main prompt)
[ ] Covered the minimum checklist, or explained omissions
[ ] High-risk items have explicit priority
[ ] Did not invent details the user did not provide
[ ] Assumptions and gaps are marked

Common Pitfalls

Do not pretend completeness when scope/context is missing.
Do not treat every item as equally important.
Do not skip assumptions and information gaps.
Do not dump generic theory unrelated to the current toolchain.

How to use it

Copy the folder

Take naodeng/test-case-reviewer from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.