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R
Reprompt
Analyze what you type into AI tools — prompt scoring, agent error loops, leaked credential detection.
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Open Source

About Reprompt
Reprompt is a CLI and MCP server tool that analyzes AI prompts without requiring an LLM. It provides prompt scoring across 30+ research-backed features, automatic prompt rewriting, compression, and comprehensive diagnostics. The tool supports 9 AI platforms and runs all analysis locally in under 1ms per prompt with no network requests.
Key Features
- Prompt scoring (0-100 scale)
- Automatic prompt rewriting
- Multi-layer prompt compression (40-60% token savings)
- Privacy scanning for credentials and PII
- Agent workflow analysis
- Session quality analysis
- Cross-session repetition detection
- Model-aware prompt building
Use Cases
Improving prompt quality before sending to AI toolsDetecting leaked credentials and PII in promptsAnalyzing agent error loops and workflowsCompressing prompts to reduce token usageSession analysis and quality tracking
Best For
DevelopersAI engineersDevOps teamsSoftware development teams using AI tools
Integrations
GitHub ActionsClaudeGPTGeminiCursorCodex
Pros & Cons
Pros
- Rule-based analysis requires no LLM calls
- Extremely fast processing (under 1ms per prompt)
- Research-backed scoring validated against peer-reviewed papers
- Detects sensitive data and security issues
- Runs entirely locally with no network requests
Cons
- Limited to analyzing prompts you type in, not AI tool outputs
- Requires CLI familiarity for full feature access
- Relatively new tool with smaller user community


