Two 10k‑Star GitHub Tools: Plannotator for AI Agent Code Review and Humanizer for AI‑Flavor Text Cleanup

1. Plannotator: A Review Panel for AI Agents

Installation is straightforward: npx plannotator The tool prompts you to paste a GitHub URL or run in the current directory.

If you have used Claude Code, Codex, Gemini CLI, Cline, Windsurf or similar AI programming tools, you may have seen agents perform many actions without clear visibility into what changed. Plannotator addresses this by providing a visual “review workspace”.

The workflow: the AI first presents an execution plan, you annotate or suggest modifications in Plannotator, the agent updates the plan, then executes. Each change is shown as a diff, similar to a GitHub pull‑request review. After confirming, the agent merges the code.

The key design puts the human back into the decision loop of the AI workflow. Typical AI coding tools follow “AI writes code → you see result → you edit”. Plannotator follows “AI proposes plan → you review plan → you modify plan → AI executes → you view diff → you confirm merge”. This extra review step reduces downstream rework.

It runs locally in the browser by intercepting the agent’s interaction and supports multiple AI coding tools.

GitHub: https://github.com/backnotprop/plannotator<br/>Stars: 6.1k+ | Language: TypeScript

2. Humanizer: Removing the “AI Flavor” from Text

The project’s founder, a senior editor, distilled a set of rules for detecting AI‑written text into a systematic checklist for humanizing AI output.

Humanizer is not a one‑click replacement tool; it works like a writing coach, checking and correcting AI traces line by line.

Meaning inflation – e.g., “signifying a turning point” → “established in 1989, collected regional statistics”.

Hollow celebrity quotes – e.g., “reported by The New York Times, BBC, Financial Times” → cite specific source.

-ing analysis stacking – e.g., “symbolizes… reflects… demonstrates…” → remove or replace with concrete source.

AI high‑frequency words – e.g., “actually”, “additionally”, “proves”, “remarkable” → state the point directly.

Copular verb substitution – e.g., “becomes”, “serves as”, “is hailed as” → use “is”.

Sentence patterns – e.g., “not only X, but also Y”, three‑part parallelism → natural sentence length.

Synonym rotation – e.g., “protagonist → main character → hero” → unify to one term.

AI tone – e.g., “I hope this helps! If you have more questions, let me know” → answer directly.

Excessive colons and dashes – break long sentences, use periods.

Logical transition clichés – e.g., “however… still…” → state the specific difficulty.

Installation:

mkdir -p ~/.claude/skills
git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer

To use, paste \humanizer in Claude Code and feed your text for review.

If you frequently write newsletters or blogs, Humanizer can clean up AI‑generated drafts, making them read more naturally.

GitHub: https://github.com/blader/humanizer<br/>Stars: 22.8k+ | Language: Agent Skill

Both projects take different approaches: Plannotator controls the upstream quality of AI agent output, while Humanizer improves the downstream quality of AI‑generated text. Together they offer a comprehensive way to manage code and prose produced by AI.