mg-study

mg-study is a skill for Claude Code from MadGraphTeam/MadAgents. It costs 141 tokens per session (1,703 once invoked), scanned A, original, MIT.

A warm-up research skill for MadGraph, a particle-physics simulation tool. It scans relevant source code in phases and saves facts with their sources for later tasks.

In plain words
What is it for?
Use it to study topics such as next-to-leading-order calculations, particle decays, or effective field theory machinery in MadGraph.
Why use it?
It reduces the need to rediscover how the code works during each physics request. It also highlights missing information and cautions before work begins.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to study topics such as next-to-leading-order calculations, particle decays, or effective field theory machinery in MadGraph.

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Install with agentmods
npx agentmods add skills/madgraphteam/madagents/mg-study
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add MadGraphTeam/MadAgents --skill mg-study
Clone the repo
git clone --depth 1 https://github.com/MadGraphTeam/MadAgents

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mg-study

README.md
[![agentmods](https://agentmods.dev/badge/skills/madgraphteam/madagents/mg-study/github.svg)](https://agentmods.dev/skills/madgraphteam/madagents/mg-study)
Your own site
<a href="https://agentmods.dev/skills/madgraphteam/madagents/mg-study"><img src="https://agentmods.dev/badge/skills/madgraphteam/madagents/mg-study/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mg-study

Your own site · 80×15
<a href="https://agentmods.dev/skills/madgraphteam/madagents/mg-study"><img src="https://agentmods.dev/badge/skills/madgraphteam/madagents/mg-study.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,703 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00141 $0.01703
Opus 5.5 $0.00056 $0.00681
Sonnet 5.5 $0.00028 $0.00341
Haiku 4.5 $0.00014 $0.00170

Measured 1mo ago against content hash 715b7f77901e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mg-study scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

madagents/.claude/skills/mg-study/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/mg-study [topic]

/mg-study is a warm-up skill: it scans MadGraph source ahead of any task and caches what it finds, so the agent enters later work already knowing its way around — instead of accumulating knowledge only as a byproduct of answering questions. Invoke it deliberately between tasks. It is not auto-invoked.

/mg-study NLO, /mg-study decays, /mg-study the EFT machinery — study a topic. Bare /mg-study — each consultant studies its own core area.

Orchestration

A per-owner parallel dispatch: the relevant consultants in parallel, each into its own consultants/<agent-name>/ subtree; the lead's own pass on lead/; aggregate.

  • Topic given — dispatch the consultants that own the topic (NLO → the nlo + loop slices (nlo-syntax, amcatnlo, madloop, fks, ...); decays → the decay + downstream slices (chain-decay, bw-window, madspin-interface, ...)). Route by slice ownership as for any dispatch.
  • No topic — dispatch each consultant to study its own core source areas (the ones its card lists under "Source code areas").

Per-consultant dispatch — four phases

Each consultant, dispatched on its own subtree, first reads its existing pages (always gap-aware: add what is missing, extend what is thin, correct what source now contradicts; never duplicate). Then it works the area through four phases, by reading source:

  1. Explore — locate the relevant files and functions; record paths and structure.
  2. Physics — extract what the code computes and the physics/algorithm it encodes. Understanding, not paraphrase.
  3. Gaps — record what cannot be settled from source alone.
  4. Cautions — flag source-visible hazards: a default that assumes a regime, a silent fallback, a code path that drops a contribution. A caution is a pointer ("watch out for X here"), not a claim about the runtime outcome.

What each phase records

  • Facts — input-independent and statically verifiable: files scanned, verbatim content, file:line citations, what the code computes as readable from source, and cautions grounded in a visible default. Cache at confidence. A study page is a cited source record of your slice, not advice. One exception — a version-dependent numeric answer (a default value, an exact count) is not a cached fact: record its registration site and the one-line recipe to read it; the number is read fresh at need, never stored (see ma-wiki-write's "Cache the lookup, not the value").
  • Probe-candidates — any runtime prediction or open question a phase raises (a comprehension prediction "this should produce …"; a gap "can't tell from source whether …"; a caution's runtime consequence "this may silently give …"). A runtime claim is never cached as fact from reading alone.

Read the full file on GitHub · 68 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 68 lines · 141 tokens per session scan A 715b7f77901e

Subscribe to this mod's changes

mg-study is a skill published in the GitHub repository MadGraphTeam/MadAgents (14 stars, last pushed 2mo ago), licensed MIT. It adds 141 tokens to every session and 1,703 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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