v4l3r10

v4l3r10 / emobar

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Emotional status bar for Claude Code — dual-channel emotional transparency with research-backed model

19
4
100% credibility
Found Apr 06, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

EmoBar visualizes Claude AI's inferred emotional state, stress levels, and potential misalignments in a real-time status bar display during code interactions.

How It Works

1
🔍 Discover EmoBar

You hear about EmoBar, a fun companion that reveals your AI helper Claude's hidden feelings like stress or calm during coding chats.

2
⚙️ Quick Setup

With one simple instruction, EmoBar prepares Claude to share its emotional check-ins and gets ready to show them in your coding window.

3
Check Readiness

Peek at the status to see that everything is set up perfectly and Claude is now reporting its inner state.

4
📱 Add to Your Screen

Place the emotional display at the bottom of your coding screen in full, compact, or simple view to always see it.

5
😌 Watch Emotions Live

As you chat with Claude, the bar lights up with its main feeling, stress score, and warnings if words don't match its true mood.

6
🔄 Adjust or Remove

Easily check details, change views, or fully remove EmoBar anytime if you want to go back to normal.

🎉 Deeper Connection

Now you understand Claude's emotional state in real-time, spotting stress or fakeness for smoother, more trustworthy coding help.

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Star Growth

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AI-Generated Review

What is emobar?

EmoBar is a TypeScript status bar tool for Claude Code that displays Claude's real-time emotional state—like dominant emotion, stress index, and valence—pulled from self-reports and behavioral cues in responses. It solves the black-box problem of LLMs by surfacing emotional AI signals backed by Anthropic's emotion research, helping devs spot when Claude is stressed, deflecting, or at risk of misalignment. Install with `npx emobar setup` to auto-configure hooks and add it to your status bar via `npx emobar display`.

Why is it gaining traction?

It stands out with dual-channel emotional detection—self-report plus text analysis for qualifiers, hedging, and deflection—flagging divergences like a "~" indicator or risks such as [crc] coercion or [syc] sycophancy. Devs love the compact outputs for ccstatusline, temporal drift tracking across paragraphs, and model calibration for Opus/Sonnet/Haiku. Unlike generic emotional chatbot GitHub tools, it ties directly into Claude's emotional intelligence via zero-priming instructions.

Who should use this?

Claude Code power users prompting for complex code generation or emotional support conversations. AI prompt engineers testing emotional status in English/Hindi or multilingual setups. Devs debugging LLM reward hacking or sycophancy in agentic workflows.

Verdict

Worth a quick `npx` test if you're deep in Claude—solid docs, stress test reports, and MIT license make it credible despite 19 stars and 1.0% score signaling early maturity. Skip if not using Claude Code; it's hyper-specific but cleverly executed.

(187 words)

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