aamas-supplementary

aamas-supplementary is a skill for Claude Code from brycewang-stanford/Awesome-Journal-Skills. It costs 76 tokens per session (722 once invoked), scanned A, original, MIT.

A guide for preparing extra material for an AAMAS research paper. AAMAS is a conference about autonomous agents and multi-agent systems; supplementary material contains proofs, added experiments, and supporting files.

In plain words
What is it for?
Use it to assemble proofs, game or mechanism definitions, additional experiments, opponent details, and an anonymized artifact archive for review.
Why use it?
It helps keep essential ideas in the main paper while organizing extra evidence separately. It also covers page limits, anonymity, archive contents, and clean-machine checks.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the aamas-skills plugin — 12 skills shipped together

Good fit Use it to assemble proofs, game or mechanism definitions, additional experiments, opponent details, and an anonymized artifact archive for review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brycewang-stanford/awesome-journal-skills/aamas-supplementary
About the project

Awesome Journal Skills is a collection of agent skill packs tailored to hundreds of academic journals across fields including economics, social science, medicine, science, and engineering. Researchers use the packs for tasks such as choosing topics, designing empirical strategies, preparing tables and figures, submitting papers, and responding to reviewers. The catalogue entries are the project's journal-specific skills and related plugins.

brycewang-stanford/Awesome-Journal-Skills · 1,320 stars · on GitHub · copaper.ai

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 brycewang-stanford/Awesome-Journal-Skills --skill aamas-supplementary
Clone the repo
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills

Made for: Claude Code.

Or install aamas-skills, the plugin that ships this one along with the rest of its 12 skills.

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 aamas-supplementary

README.md
[![agentmods](https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aamas-supplementary/github.svg)](https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aamas-supplementary)
Your own site
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aamas-supplementary"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aamas-supplementary/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 aamas-supplementary

Your own site · 80×15
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aamas-supplementary"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aamas-supplementary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 722 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00076 $0.00722
Opus 5.5 $0.00030 $0.00289
Sonnet 5.5 $0.00015 $0.00144
Haiku 4.5 $0.00008 $0.00072

Measured 1mo ago against content hash d32ea1656df9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aamas-supplementary 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.

AAMAS-Skills/skills/aamas-supplementary/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AAMAS Supplementary

Use this when assembling AAMAS supplementary material. The supplement can support the paper, but the 8-page main submission must stand on its own; a body that is unintelligible without the appendix reads as unreviewable within the page limit.

Supplement structure

  • Put full proofs, extended game and mechanism definitions, extra ablations, opponent-set documentation, and robustness tables in a clean appendix or supplementary document.
  • Put executable assets - game code, environments, learning rules - in the anonymized zip when the current OpenReview form allows it.
  • Respect the current supplement size cap (25 MB single zip in 2026) and the deadline.
  • Keep every supplementary file double-blind: no authors, institutions, acknowledgements, private paths, repository owners, or identifying metadata.
  • Do not hide essential motivation, the core game definition, the main theorem statements, or the primary interaction results in the supplement.
  • Verify the archive opens on a clean machine and carries no credentials, caches, or OS metadata.

Appendix architecture for proofs and games

  • Order appendix sections to mirror the body: game and notation, main proofs, auxiliary lemmas, additional agents/opponents, then extended experiments.
  • Restate each theorem and the relevant game before its proof so the appendix reads standalone without flipping back to the two-column body.
  • Keep one proof sketch and the full game definition in the body itself; an AAMAS paper whose entire strategic argument lives in the appendix cannot be judged in eight pages.
  • Cross-reference every appendix table, lemma, and opponent set from the body at least once; orphaned supplement material is invisible under reviewer discretion.

What gets opened first

Supplement item Inspection likelihood Practical implication
Proof of the headline equilibrium/mechanism result High Polish to main-text standard
Extended game or environment definition High Reviewers reconstruct the interaction from it
Extra opponent/population results Medium Reference each from the body
Code/environment archive Variable, reviewer discretion README must orient a reader in one minute
Raw episode logs Low Include for completeness, never rely on them

Read the full file on GitHub · 65 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 · 65 lines · 76 tokens per session scan A d32ea1656df9

Subscribe to this mod's changes

aamas-supplementary is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,320 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 722 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

alterlab-qiime2-amplicon

Runs 16S/ITS amplicon (microbiome) analysis with the QIIME 2 distribution (2026.7; the "amplicon" distribution was renamed "qiime2" in 2026.4) in the correct order: manifest import, cutadapt trim-paired primer removal BEFORE dada2 denoise-paired (trunc-len chosen from the demux quality .qzv), feature-classifier…

AlterLab-IEU/AlterLab-Academic-Skills · 270 tokens

research-manager

Use this when starting a new research project or managing a complex, multi-step research workflow.

poemswe/co-researcher · 21 tokens

alterlab-phylogenetics

Build phylogenetic trees end-to-end from raw sequences — MAFFT multiple sequence alignment, optional TrimAl trimming, IQ-TREE 3 maximum-likelihood inference with model selection and bootstraps, FastTree for large datasets, then visualize with ETE3 or FigTree. Use when reconstructing trees from sequences (FASTA) for…

AlterLab-IEU/AlterLab-Academic-Skills · 152 tokens

alterlab-pydicom

Reads, writes, and manipulates DICOM (Digital Imaging and Communications in Medicine) medical imaging files with the pydicom Python library. Use when reading/writing/modifying DICOM data, extracting pixel data from CT, MRI, X-ray, or ultrasound images, anonymizing DICOM files, working with DICOM metadata and tags…

AlterLab-IEU/AlterLab-Academic-Skills · 114 tokens

alterlab-pyhealth

Develops, tests, and validates clinical machine learning models with the PyHealth 2.x healthcare AI toolkit. Use when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, length of stay, drug recommendation), medical coding systems (ICD, NDC, ATC, CCS), physiological signals…

AlterLab-IEU/AlterLab-Academic-Skills · 132 tokens

alterlab-citation-verifier

Verifies that every bibliography entry actually exists by cross-checking Crossref, OpenAlex, Semantic Scholar, and arXiv (no API key required) plus doi.org DOI registration, fuzzy-matching title and authors (difflib ratio >= 0.70), flagging retractions recorded by Crossref (including Retraction Watch data) or…

AlterLab-IEU/AlterLab-Academic-Skills · 219 tokens