Self Review
VerifiedAutomatically evaluates and approves agent outputs based on clarity, conciseness, actionability, and structure using a rule-based system.
$ Add to .claude/skills/ About This Skill
# Self-Review Skill
Automatically review agent output quality before sending to user.
- Checks: clarity, conciseness, actionability, structure
- Simple rule-based engine (no API cost)
- Exit code 0 = approved, 1 = needs improvement
Usage
Pipe output to reviewer:
```bash echo "Your response text" | node skills/self-review/index.js ```
Or integrate into agent pipeline (AGENTS.md step 6).
Configuration
Edit `skills/self-review/index.js` to adjust thresholds.
Advanced
For LLM-based review, see `self-review-llm` skill (separate package).
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Author: dvinci达芬奇 (self-evolved) Version: 1.0.0 Tags: quality, automation, token-optimization
Use Cases
- Perform structured code reviews with actionable feedback
- Review pull requests with systematic checklist-based analysis
- Provide structured feedback with clear improvement suggestions
- Evaluate quality against defined standards and best practices
Pros & Cons
Pros
- +Leverages AI models for intelligent automation beyond simple rule-based tools
- +Configurable parameters allow tuning for different quality and cost tradeoffs
- +Clear documentation makes it easy to get started and integrate
Cons
- -Depends on external AI model APIs which may incur usage costs
- -Output quality varies based on input specificity and model capabilities
FAQ
What does Self Review do?
What platforms support Self Review?
What are the use cases for Self Review?
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Next Step
Use the skill detail page to evaluate fit and install steps. For a direct browser workflow, move into a focused tool route instead of staying in broader support surfaces.