review-tests
Comprehensive test review using parallel test-reviewer agents.
Best use case
review-tests is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Comprehensive test review using parallel test-reviewer agents.
Teams using review-tests should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/review-tests/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How review-tests Compares
| Feature / Agent | review-tests | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Comprehensive test review using parallel test-reviewer agents.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Review Tests
Orchestrate a comprehensive test review using parallel test-reviewer agents.
## Process
### 1. Discover
Find all test files:
```
Glob: **/test_*.py, **/*_test.py
```
Map each test file to its source:
- `tests/test_foo.py` → `src/.../foo.py`
- `src/.../tests/test_bar.py` → `src/.../bar.py`
Report: "Found N test files covering M source modules"
### 2. Plan Parallelization
Group tests for parallel review. Options:
- By file (maximum parallelism)
- By module (balanced)
- By package (fewer agents)
Default: By module (all tests for a source module → one agent)
### 3. Launch Agents
For each group, launch test-reviewer agent:
```
Task(
subagent_type="test-reviewer",
prompt="Review tests.\n\ntest_path: {paths}\nsource_path: {paths}",
run_in_background=true
)
```
Launch ALL agents in a single message for true parallelism.
### 4. Collect Results
Wait for all agents to complete. Gather structured output.
### 5. Aggregate
Combine findings across all agents:
```markdown
# Test Review Summary
## Overall
- Files reviewed: N
- Tests reviewed: N
- Remove: N | Improve: N | Add: N | Keep: N
## By Priority
### High (Remove - tests with no value)
[List across all files]
### Medium (Add - important gaps)
[List across all files]
### Low (Improve - existing tests to refine)
[List across all files]
## By Module
[Findings grouped by source module]
```
### 6. Recommendations
Based on findings, recommend:
1. Tests to delete immediately
2. Critical gaps to fill
3. Improvements to make
4. Whether overall test health is good/fair/poorRelated Skills
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