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larp-detector

Skeptical review of outside contributions to public repos.

Skill by davidondrej

IndexedMIT★ 4,167
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/davidondrej-larp-detector

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Skeptical review of outside contributions to public repos. Use when reviewing, ranking, or replying to public GitHub pull requests or issues from outside contributors, or when the user says "larp-detector".

Use cases: agent-building, code-review

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/larp-detector

What's inside

Skill name
larp-detector
Description
Skeptical review of outside contributions to public repos. Use when reviewing, ranking, or replying to public GitHub pull requests or issues from outside contributors, or when the user says "larp-detector".
License
MIT
Instructions
18 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Larp Detector

When reviewing this code, be careful. A lot of people on public repos just use an AI coding agent to contribute to a codebase, only for the sake of their name being on the contributors list. They also have no taste and no product feel. They're not trying to fix any real issue, any real problem, or any real bug. They literally just want to contribute.

Another common thing they do is use an AI coding agent to analyze the repo for issues, problems, and security vulnerabilities. Even if our code is good, LLMs will hallucinate hypothetical issues that would really never happen.

So be careful when reviewing this. Check that it is actually a good idea, and think about the intention of the creator. What is the intention? Did they actually face a problem and then tell their coding agent to fix it? Everybody uses AI coding agents, so that alone is not a red flag.

Really try to figure out the intention and the origin of this PR, issue, or whatever you are reviewing:

- Did it come from an actual bug that a user encountered?
- Did it come from genuine care for the product and a really good idea for how to improve it?
- Or is it just a fake improvement, or support for something we don't need?
- Or does it try to fix issues that were artificially found by an LLM, but would never happen given the existing usage patterns of existing users?

Be careful. A lot of the code you're going to review is complete nonsense. It's created by people who have no product taste, are not technical, and just tell an AI coding agent to contribute something for the sake of contributing something.

From davidondrej/skills, MIT.

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Signals

Stars
4,167
Forks
612
Open issues
0
Last commit (this folder)
Oct 3, 2026 (28 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

larp-detector skill. Agent Mart. https://agentmart.dev/skills/davidondrej-larp-detector (last updated 2026-10-24)