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aamas-review-process

Use when explaining or planning around AAMAS peer review, covering OpenReview review release, the double-blind rebuttal on preliminary reviews, area-chair discussion, the mixed game-theory, MARL, and systems reviewer pool, the public posting of reviews and decisions, and how acceptance criteria weig…

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-review-process

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Category

Other

Supported Platforms

Universal

Our assessment of aamas-review-process

aamas-review-process scores 83/100 on our quality scale, 149th of 216 Other skills we index.

Its SKILL.md is 3.5 KB long, split into 6 sections with 1 code example: a solid amount of guidance for an agent.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
15/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so aamas-review-process is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

aamas-review-process compared with similar skills

All 4 of these similar skills score higher than aamas-review-process; compare them before choosing.

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aamas-review-process (this skill)by brycewang-stanford831.2k18d agoSKILL.md
algorithmic-artby anthropics100177.9k10d agoSKILL.md
pptxby anthropics100177.9k10d agoSKILL.md
designby nextlevelbuilder100130.2k12d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k12d agoSKILL.md

Frequently asked questions

How do I install aamas-review-process?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-review-process. The install tabs above show the steps for each supported agent.
Which AI agents does aamas-review-process work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is aamas-review-process safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is aamas-review-process still maintained?
The repository was last updated 18 days ago, so aamas-review-process is actively maintained.

name: aamas-review-process description: Use when explaining or planning around AAMAS peer review, covering OpenReview review release, the double-blind rebuttal on preliminary reviews, area-chair discussion, the mixed game-theory, MARL, and systems reviewer pool, the public posting of reviews and decisions, and how acceptance criteria weigh the interaction contribution.

AAMAS Review Process

Use this to reason about review-stage strategy. Reopen the current CFP, OpenReview group, author and reviewer instructions, and the code of conduct before making process claims; AAMAS review specifics move between editions.

Process model

  • AAMAS runs submission and review on OpenReview under the IFAAMAS namespace in recent cycles.
  • Reviewers evaluate technical correctness, the significance of the interaction contribution, the reality and rigor of the multiagent evaluation, clarity, reproducibility, and fit with agents-and-multiagent-systems scope.
  • A rebuttal lets authors respond to preliminary reviews before the final decision; area chairs then synthesize.
  • Accepted papers and their reviews are published, so the review record is durable and public.
  • The most useful rebuttal gives the area chair a clean rationale for acceptance, not a point-by-point defense of every comment.

Who reviews here

  • The pool mixes game theorists, multiagent-RL researchers, mechanism-design and social-choice specialists, and systems-minded reviewers; expect at least one to read the game definition and solution concept line by line.
  • Because AAMAS is specialized, a paper is likely to meet a reviewer who works on exactly its subarea, so a vague equilibrium claim or an under-specified opponent set gets caught rather than skimmed.
  • Borderline interaction papers usually fail on one of three edges: the result turns out to be single-agent in disguise, the solution concept is never pinned down, or the multiagent evaluation is thin (self-play only, no seeds, no held-out opponents).

Scoring leverage table

| Review dimension | What raises it | What sinks it | |---|---|---| | Correctness | A stated game, a named solution concept, and a body-level proof sketch | Hidden information structure; an equilibrium asserted but never defined | | Significance | A finding that only exists because agents interact | An incremental single-agent gain wearing a multiagent label | | Empirical support | Experiments that probe strategy: held-out opponents, deviation tests | Self-play-only curves disconnected from the claim | | Clarity | One notation source and a legible game description | Notation and payoff conventions that shift between sections |

Stage-by-stage realism

  • Initial reviews: triage by what the area chair would weigh, not by reviewer tone.
  • Rebuttal: windows are short; an early, precise reply anchored in submitted evidence beats a late exhaustive one.
  • Decision: the area chair synthesizes, and one unanswered correctness or interaction-reality objection outweighs several resolved clarity complaints.
  • Public record: assume the reviews and your rebuttal will be visible with the paper, and keep the exchange professional and concrete.

Output format

[Current stage] submitted / reviews / rebuttal / decision / camera-ready
[Decision actors] <reviewers / area chair / program chairs>
[Likely leverage] <correctness / interaction-reality / significance / experiments / clarity>
[Forbidden moves] <identity leak / new results / revised-paper upload if disallowed>
[Next response move] <one action>

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryOther
Updated18d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions