Authorization notice. Not AI is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.
Who it is forA student or researcher preparing a paper or report who needs the prose improved without changing a reported result.
The problemEdits can accidentally change a p-value or other exact literal, and the writer needs a check that catches it.
The outcomeA revised draft plus a JSON gate report that fails if the protected literal is missing.
What you need first
- A terminal and an agent that supports the skill, such as Claude Code, Codex, or Cursor
- Python 3 to run the gate script from a local clone of the repo (inferred, the README uses python3 and says the gate is dependency-free)
- The draft text saved as a plain text file
Steps
- Run
npx skills add udaysharmadev/Not-Aito install the skill. - Save the draft as draft.txt and note each exact literal that must stay, such as p = 0.03.
- Ask your agent to revise draft.txt in academic style without changing any protected literal.
- Clone the repo and move into its folder. (inferred, check the README)
- Run
python3 plugins/not-ai/tools/gate.py draft.txt --genre academic --protect "p = 0.03" --jsonand check the output.
Prompt for your agent
Using the udaysharmadev/Not-Ai skill, revise <path to academic draft> in academic style and keep the literal p = 0.03 unchanged. Return the revised text. Verify that `python3 plugins/not-ai/tools/gate.py <revised file> --genre academic --protect "p = 0.03" --json` does not report a missing protected literal.
Caveat. The gate does not claim factual fidelity or semantic equivalence, so the writer must confirm that every claim and citation still matches the sources.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for udaysharmadev/Not-Ai and "Check an academic draft and keep key statistics intact"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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