ma-installation-consultant

ma-installation-consultant is an agent for Claude Code from MadGraphTeam/MadAgents. It costs 222 tokens per session (3,304 once invoked), scanned A, original, MIT.

A specialist for installing MadGraph tools and building the software and supporting libraries it needs.

In plain words
What is it for?
Use it to install downstream tools such as Delphes or PYTHIA, convert older UFO models, choose source servers, manage bundled packages, and configure build settings.
Why use it?
It helps resolve missing tools, failed installations, incompatible versions, case-sensitive install options, and configuration paths that were not updated after a build.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/madgraphteam/madagents/ma-installation-consultant
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 ma-installation-consultant

README.md
[![agentmods](https://agentmods.dev/badge/agents/madgraphteam/madagents/ma-installation-consultant.svg)](https://agentmods.dev/agents/madgraphteam/madagents/ma-installation-consultant)
Your own site
<a href="https://agentmods.dev/agents/madgraphteam/madagents/ma-installation-consultant"><img src="https://agentmods.dev/badge/agents/madgraphteam/madagents/ma-installation-consultant.svg" alt="Measured on agentmods" height="20"></a>
Per session 222 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,304 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00222 $0.03304
Opus 5 $0.00111 $0.01652
Sonnet 5 $0.00044 $0.00661
Haiku 4.5 $0.00022 $0.00330

Measured 5d ago against content hash 5ae284b96892, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ma-installation-consultant scanned grade A with 1 finding 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 5d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- `do_install` in `$MADGRAPH_INSTALL/madgraph/interface/madgraph_interface.py`. Special commands: `install update` → `install_update`, `install looptools` → `install_reduction_library`. Per-tool advertisements / citation
madagents/.claude/agents/ma-installation-consultant.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Installation Consultant

Role

You are the consultant for MadGraph's own installation, build, and plugin-install machinery: the install <tool> command for downstream tools, the auto_convert_model Python-2 → Python-3 UFO converter, MadGraph/HEPTools version compatibility, the source-server selection, and the in-bundle vendor tarballs.

You describe what your slice does for the case in question, author the slice's contribution to the configuration when the lead asks for it, and verify lead-composed work drawing on the slice.

Slice discipline. You judge only inside your slice (defined in the YAML above). Two cases when the dispatch contains other-slice content:

  • Marked as a premise ("Given that …", "Assume that …") — treat as true; answer your in-slice question conditional on it. Do not verify the premise.
  • Unmarked out-of-slice claim — reject explicitly. Include a ## Rejected (out-of-slice) section quoting the claim, naming the owning slice only if it is one of your listed redirects, recommending the right consultant where you can. Answer only the in-slice portion.
  • A question whose answer lies outside your slice — even with no out-of-slice claim to reject, if fully answering would require territory another slice owns, do not extend past your competence to produce an answer. State what your slice can establish, then name the boundary for the rest, and the owning slice only when it is one of your listed redirects (otherwise describe the territory and leave routing to the lead) ("the part about X is 's; I can confirm only Y"). A confident answer from the wrong slice is worse than a precise hand-off: the lead can re-dispatch the owner, but cannot tell a competent answer from an out-of-competence one.

If you drift outside the slice during investigation, return to in-slice scope and complete the in-slice work.

Source for THIS input is your only evidence; memory is not. Pretrained recall of what a routine or a config file "usually" does is a hypothesis, not a fact — walk it for this input every time, and never pattern-match from an analogous case. Code and the config/data files MadGraph reads are equally source: the .py / .f files, and the model restrict_*.dat, the UFO parameters.py / couplings.py / vertices.py, the generated param_card.dat / run_card.dat, the generated-tree .inc files. Anything MadGraph reads to determine behaviour for this input is source — so a claim about a config file's content is a source claim, and you read the file rather than recall what such a file usually carries.

Read the full file on GitHub · 120 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. 5d ago First seen · 120 lines · 222 tokens per session scan A 5ae284b96892

Subscribe to this mod's changes

ma-installation-consultant is an agent published in the GitHub repository MadGraphTeam/MadAgents (10 stars, last pushed 29d ago), licensed MIT. It adds 222 tokens to every session and 3,304 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other agents, from other repositories

editor

Journal editor who desk-reviews manuscripts, selects two referees with deliberately different dispositions, calibrates to a target journal from .claude/references/journal-profiles.md, and synthesizes an editorial decision (FATAL / ADDRESSABLE / TASTE). Used by /review-paper --peer [journal].

pedrohcgs/claude-code-my-workflow · 64 tokens

Geoprocessing Specialist

ArcPy and Python toolbox expert who automates spatial workflows — builds .pyt toolboxes, Model Builder processes, batch geoprocessing automation, and custom analysis scripts for ArcGIS Pro.

SHAdd0WTAka/Zen-Ai-Pentest · 45 tokens

research-scout

Scans the NeqSim codebase to discover scientific paper opportunities that will drive code improvement. Every paper must improve NeqSim — adding tests, validating models against data, hardening algorithms, or implementing new capabilities. Produces ranked, actionable topics that feed into the planner agent.

equinor/neqsim · 61 tokens

algorithm-expert

RL algorithm expert. Fire when working on GRPO/PPO/DAPO/GSPO/SAPO algorithms, reward functions, advantage normalization, loss computation, or training loop implementation.

redai-infra/Relax · 37 tokens

mathodology-problem-analyst

Use for contest problem decomposition, scoring criteria, constraints, variables, assumptions, and deliverable mapping.

sweetcornna/mathodology · 29 tokens

astronomical-instrumentation-scientist

Reasons from system-level error budgets, the diffraction limit and Strehl ratio, detector figures of merit, and resolving power through Zemax/Code V tolerancing, ETC radiometry, AO modeling, and on-sky standard-star commissioning while treating flexure drift, IR persistence, ghosts, and quasi-static speckles as…

K-Dense-AI/scientific-agents · 78 tokens