DEDUPEDAuthorization notice. Game the LLM Reviewer is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.
Who it is forAn author whose abstract is over the venue word limit and who needs cuts that keep both positive and negative results.
The problemTrimming an abstract by hand can drop limitations or change how results read, and the author needs a record of what moved.
The outcomeReplacement abstract prose under 200 words, with a short change note tied to the original text.
What you need first
- A finished manuscript the agent can read and write, such as a LaTeX project
- Git to clone the repository, or Node.js to run the Skills CLI installer
- A file-capable agent that supports Agent Skills, such as Claude Code or Codex
Steps
- Install the skill with
npx skills add Michael-Jiahao-Zhang/game-the-llm-reviewer --skill game-the-llm-reviewer, or clone the repo to use it manually. - Open your agent and paste the abstract into the abstract-only prompt from the README.
- Ask for replacement prose and a short change note.
- Compare the result to your original and confirm both positive and negative results remain.
Prompt for your agent
Use the game-the-llm-reviewer skill from Michael-Jiahao-Zhang/game-the-llm-reviewer on the abstract text in <path to abstract file>, keeping it under 200 words. Work only from the supplied text, preserve both positive and negative results, and return replacement prose with a short change note. Verify that no result, number, or limitation is missing from the new version.
Caveat. The skill works only from the text you supply, so the author must check the trimmed abstract against the full paper.
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Disclaimer
Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page