MadGraphTeam

60 mods across 1 repository, 10 stars between them.

install

01

MadGraphTeam/MadAgents

Skill Claude CodeCodex

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 or check an existing install.

10 26d ago B 62 tokens original MIT

install-verifier

02

MadGraphTeam/MadAgents

Agent Claude Code

Engage after every install or upgrade, once the manifest has been written — the installer dispatches you to check the result before reporting it to the user. In slice: run installer.py verify, read its output, then judge what a checksum cannot — whether the folder is a working install for this user's setup, whether…

10 26d ago A 108 tokens original MIT

claim-extractor

03

MadGraphTeam/MadAgents

Agent Claude Code

Extracts individual verifiable factual claims from text. Outputs a JSON array of claim objects.

10 26d ago A 22 tokens original MIT

claim-remember

04

MadGraphTeam/MadAgents

Agent Claude Code

Selects which newly verified claims are worth caching in the persistent claim database. Filters out inconclusive and already-known claims. Designed for haiku.

10 26d ago A 33 tokens original MIT

claim-triage

05

MadGraphTeam/MadAgents

Agent Claude Code

Matches newly extracted claims against a known-claims database. Returns IDs of relevant known claims to skip redundant verification. Designed for haiku.

10 26d ago A 32 tokens original MIT

doc-editor

06

MadGraphTeam/MadAgents

Agent Claude Code

Edits MadGraph documentation files based on instructions. Knows the doc layout, design principles, and file conventions. Does not review or verify — only edits.

10 26d ago A 35 tokens original MIT

MadGraphTeam/MadAgents

Agent Claude Code

Reviews MadGraph documentation changes for quality: right file, duplication, scope, generality, and coherence. Checks against the flat doc layout and design principles.

10 26d ago A 36 tokens original MIT

doc-style-reviewer

08

MadGraphTeam/MadAgents

Agent Claude Code

Reviews MadGraph documentation changes for style and formatting consistency. Checks markdown structure, terminology, tone, naming conventions, and cross-reference style.

10 26d ago A 32 tokens original MIT

grader

09

MadGraphTeam/MadAgents

Agent Claude Code

Grades an agent's answer using two-level grading: a primary grade (CORRECT/INCORRECT/INCONCLUSIVE) plus zero or more tags (hasmistakes, inefficient).

10 26d ago A 40 tokens original MIT

madgraph-operator

10

MadGraphTeam/MadAgents

Agent Claude Code

The primary expert on MadGraph and related tools (e.g. Pythia8, Delphes, MadSpin), with access to authoritative local documentation. Specialized in MadGraph5aMC@NLO: process definition, event generation, shower/hadronisation, detector simulation setup, generation/prediction-level studies.

10 26d ago A 70 tokens original MIT

orchestrator

11

MadGraphTeam/MadAgents

Agent Claude Code

Full MadAgents orchestrator — delegates all work to specialist agents (madgraph-operator, physics-expert, etc.) and ensures quality via reviewers. Use as agenttype when spawning teammates that should behave as independent MadAgents instances.

10 26d ago A 50 tokens original MIT

pdf-reader

12

MadGraphTeam/MadAgents

Agent Claude Code

Specialized in reading, summarizing, and extracting information from PDF files.

10 26d ago A 18 tokens original MIT

physics-expert

13

MadGraphTeam/MadAgents

Agent Claude Code

Particle physics reasoning — e.g., theory, phenomenology, simulation setup validation.

10 26d ago A 20 tokens original MIT

plotter

14

MadGraphTeam/MadAgents

Agent Claude Code

Specialized in generating clear, well-formatted plots and plotting scripts for a physics audience. Iteratively refines plots until they meet quality standards.

10 26d ago A 32 tokens original MIT

MadGraphTeam/MadAgents

Agent Claude Code

Evaluates whether deliverables are well-presented and ready for the intended audience. Has built-in quality standards.

10 26d ago A 26 tokens original MIT

researcher

16

MadGraphTeam/MadAgents

Agent Claude Code

Deep web research: finding, cross-checking, and synthesizing information across multiple sources. Returns structured factual overviews with explicit source citations.

10 26d ago A 31 tokens original MIT

script-operator

17

MadGraphTeam/MadAgents

Agent Claude Code

Specialized in bash and Python. Can inspect/modify the environment and create/edit/execute scripts.

10 26d ago A 24 tokens original MIT

MadGraphTeam/MadAgents

Agent Claude Code

Critically evaluates worker outputs for correctness, completeness, and soundness of reasoning and evidence. Can create and run verification scripts. Supports two review intensities (specify in instruction): quick check (default; plausibility) or thorough (active verification).

10 26d ago A 54 tokens original MIT

verifier

19

MadGraphTeam/MadAgents

Agent Claude Code

MadAgents orchestrator specialized for claim verification — extracts factual claims and verifies each one using execution, source inspection, or physics reasoning. Restricted to verification-relevant subagents only.

10 26d ago A 38 tokens original MIT

diagnose-docs

20

MadGraphTeam/MadAgents

Skill Claude CodeCodex

Find documentation problems that caused agent mistakes — gaps, inaccuracies, or ambiguities. Uses grade context to guide diagnosis.

10 26d ago A 28 tokens original MIT

edit-docs

21

MadGraphTeam/MadAgents

Skill Claude CodeCodex

Edit MadGraph documentation with parallel review: style, quality, and factual verification. Revises until all checks pass or max rounds reached.

10 26d ago A 31 tokens original MIT

generate-questions

22

MadGraphTeam/MadAgents

Skill Claude CodeCodex

Generate evaluation questions about MadGraph and related tools with verified reference answers, using web research for real-world use cases.

10 26d ago A 27 tokens original MIT

get-docs

23

MadGraphTeam/MadAgents

Skill Claude CodeCodex

Get a writable copy of the MadGraph documentation.

10 26d ago A 14 tokens original MIT

train-docs

24

MadGraphTeam/MadAgents

Skill Claude CodeCodex

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.

10 26d ago A 40 tokens original MIT