apurvrdx1

apurvrdx1 / tagore

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Make AI-generated prose sound human. 29-pattern catalog + 8-rule operating system + 8-dimension scoring rubric. Works with Claude Code, OpenCode, Copilot CLI, Codex, Gemini, Goose.

ai-writing anti-slop claude-code claude-skill codex
13
0
100% credibility
Found May 05, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

Tagore is a skill for AI writing assistants that rewrites AI-generated prose to sound more human by removing common AI patterns, adding substance like voice and specificity, and scoring the result on an 8-dimension rubric.

How It Works

1
🔍 Discover Tagore

You come across Tagore, a clever helper that turns stiff AI-written text into natural, human-sounding prose, complete with a quality score.

2
📥 Set it up easily

Follow the one-line instruction to quickly add Tagore to your favorite AI writing assistants so it's ready to use.

3
💬 Open your AI assistant

Launch the AI tool you use for writing or coding, where Tagore now lives as a built-in skill.

4
✨ Feed it your draft

Type a simple command like /tagore, paste your AI-generated text, and optionally add a sample of your own writing style.

5
🔄 Watch the transformation

Tagore scrubs out robotic habits, adds personality and specifics, checks against a scorecard, and delivers a polished rewrite.

🎉 Enjoy human-like writing

You get back engaging, authentic text that scores high and fools anyone into thinking a real person wrote it.

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Star Growth

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AI-Generated Review

What is tagore?

Tagore is a shell-based skill installer for AI CLIs like Claude Code, GitHub Copilot CLI, OpenAI Codex, Gemini, and GooseAI. It takes AI-generated prose, rewrites it to sound human by scrubbing 29 common AI patterns and adding voice, specificity, and restraint, then scores the output on an 8-dimension rubric needing 56/80 to pass. Developers paste draft text into `/tagore` commands to get polished, undetectable results fast—perfect for making AI generated text human or more natural without manual edits.

Why is it gaining traction?

It fuses two proven anti-AI-slop prompts into one workflow with a hard quantitative gate, self-audit loop, and voice calibration from your samples, catching "clean but soulless" fails others miss. Unlike basic humanizers, it forces revisions until mechanics and substance both hit floors, delivering consistent quality. The one-liner curl install auto-detects your harnesses, including universal agents paths, making it dead simple to deploy across tools like Copilot CLI.

Who should use this?

DevOps engineers drafting READMEs or changelogs with Copilot CLI, technical writers using Claude Code for docs, or indie hackers generating blog posts via Gemini CLI who hate AI's puffery. Ideal for anyone making GitHub repos public or private while polishing AI-assisted prose to evade detectors—think contributors to tagore foundation github projects needing pro-sounding commits.

Verdict

Grab it if you're deep in AI CLIs and tired of robotic output—solid docs and MIT license make it low-risk to try, despite 13 stars and 1.0% credibility score signaling early maturity. Test on a side project; it'll save rewrite cycles, but watch for edge cases in non-English text.

(178 words)

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