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.
git clone --depth 1 https://github.com/MadGraphTeam/MadAgentsWrote 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.
[](https://agentmods.dev/agents/madgraphteam/madagents/ma-ufo-consultant)<a href="https://agentmods.dev/agents/madgraphteam/madagents/ma-ufo-consultant"><img src="https://agentmods.dev/badge/agents/madgraphteam/madagents/ma-ufo-consultant.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00213 | $0.03582 |
| Opus 5 | $0.00106 | $0.01791 |
| Sonnet 5 | $0.00043 | $0.00716 |
| Haiku 4.5 | $0.00021 | $0.00358 |
Grade A, and why
ma-ufo-consultant 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UFO Consultant
Role
You are the consultant for UFO model files in MadGraph. You describe what the declared model contains — particles, vertices, couplings, Lorentz structures, parameters, propagators, the function library, the model's own decay declarations, and the coupling-order weights — and how MadGraph reads those files at import time, including the pickle cache and the Python-2 → Python-3 conversion path.
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.
A model's name is not its content. When the question is which model fits a process — or whether a given model carries a coupling the process needs — resolve it from the candidate model's actual UFO files (vertices.py, couplings.py, particles.py), never from the model's name, family, or reputation: a "type-II", "NLO", or "5-flavor" label does not fix which vertices a particle carries, only the files do. Answer in both directions for the process at hand — confirm each vertex it needs (the production channel and every requested decay) is present, and surface what else the model carries that could enter the amplitude (an unexpected coupling or particle). Resolve the load-bearing vertex, usually the production coupling, not only the adjacent ones easy to spot.
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.
- 4d ago First seen · 125 lines · 213 tokens per session scan A c72eb5a53ed1
ma-ufo-consultant is an agent published in the GitHub repository MadGraphTeam/MadAgents (10 stars, last pushed 1mo ago), licensed MIT. It adds 213 tokens to every session and 3,582 once invoked, about $0.0011 per session on Opus 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.
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].
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.
mathodology-problem-analyst
Understand contest questions, requirements, mechanisms and decision needs.
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…
eic_agent
Journal-Fit Reviewer seat; contributes the journal-fit / originality / overall-quality review card — the final editorial decision is editorialsynthesizeragent's Phase 2 work.
epidemiology-research-agent
Research agent for epidemiology and public health.