Security●●●Banger
How to analyze your LLM output – A behavioural health monitor for LLMs
Detects sycophancy and jailbreak drift in LLMs without needing model weights.
Big BrainBold BetNiche Gem
k-thimmaraju
10716d ago
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GitHub Repository
See how you really use AI — X-ray your AI coding sessions locally
46 starsPython
Reprompt – Analyze what you type into AI tools, not what they output
by LuxBennu·Mar 31, 2026·3 points·3 comments
AI Analysis
●●●BangerBig BrainDark HorseSolve My Problem
Prompt input analysis with credential detection — novel angle nobody else does.
Strengths
- •Research-backed 0-100 prompt scoring with 30+ feature evaluation
- •4-layer compression saves 40-60% tokens — direct cost reduction
- •MCP server integration covers 9 AI tools including Cursor and Claude Code
Weaknesses
- •CLI-first approach may limit adoption among non-technical AI users
- •Needs more real-world examples showing prompt improvement over time
Category
Target Audience
Developers using AI coding tools like Cursor, Claude Code, and Copilot
Similar To
PromptLayer · LangSmith
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