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Generate evaluation questions about MadGraph and related tools with verified reference answers, using web research for real-world use cases.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Install the MadAgents agent system into a folder on this machine, to be run without a container. Use when the user wants MadAgents outside Apptainer — in a project folder, on a login node, or anywhere they already have MadGraph — or wants to refresh an existing install.
Find documentation problems that caused agent mistakes — gaps, inaccuracies, or ambiguities. Uses grade context to guide diagnosis.
Edit MadGraph documentation with parallel review: style, quality, and factual verification. Revises until all checks pass or max rounds reached.
Get a writable copy of the MadGraph documentation.
Run one iteration of the doc improvement loop: generate or accept questions, answer them in parallel, verify, grade, diagnose, fix the docs, and re-evaluate until convergence.
Extract factual claims from text and verify each one using execution, source inspection, or physics reasoning.
| name | generate-questions |
| description | Generate evaluation questions about MadGraph and related tools with verified reference answers, using web research for real-world use cases. |
Generate realistic questions that a particle physicist would ask about MadGraph and related tools (e.g. Pythia8, Delphes, MadSpin, MadWidth, MadAnalysis).
$ARGUMENTS
Parse key=value pairs from the input. All are optional — use defaults if not specified.
count=5focus=NLO matchingrequirements=must include exact commandsdedup=/workspace/existing.jsonDo NOT tailor questions to any specific documentation. The goal is to capture what users genuinely need help with.
Every question MUST include a reference_answer — a concise summary of the correct answer, used as ground truth during evaluation.
Write a JSON array (default: questions.json). The file must contain ONLY the JSON array — no markdown fences, no commentary, no explanation.
[
{
"text": "The full question text",
"reference_answer": "Concise correct answer with key facts, commands, and parameter names."
}
]
After writing, verify:
text and reference_answer strings