Skills

Aamas Artifact Evaluation

Use when packaging AAMAS multiagent code, environments, opponent and population sets...

Install

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-artifact-evaluation -g -a claude-code -y
Category
Engineering
Updated
1mo ago
License
MIT
Context cost
Lightabout 863 tokens
Runs scripts
No, instructions only

What it does

Use when packaging AAMAS multiagent code, environments, opponent and population sets, random seeds, game definitions, and logs as anonymous supplementary evidence or a public post-acceptance release, even without a separate artifact badge, so that game-theory and MARL reviewers can inspect and re-run the interaction claims.

AAMAS Artifact Evaluation

Use this for evidence packaging around AAMAS. Because the venue is about interaction, an artifact must make a multiagent claim inspectable: the game, the other agents, and the protocol, not just a single trained model.

Artifact plan

  • Decide what a reviewer needs to believe the interaction claim: game or environment code, opponent/population definitions, the training regime, seeds, payoff logs, proofs, or qualitative episode traces.
  • Keep decision-critical evidence in the main paper or appendix; optional bulk runs can live in the supplementary zip.
  • Anonymize repository history, paths, environment names, license headers, cluster paths, and commit authors for the review version.
  • Include a minimal reproduction map: environment build, dependencies, hardware, commands, expected outputs, per-run wall-clock, seeds, and known nondeterminism (especially in self-play).
  • For a deployed or human-subject setting, give enough provenance for credible reproduction without violating data-use terms.
  • After acceptance, replace anonymous archives with a public, licensed, citable artifact.

What AAMAS evidence reviewers open first

The single fact that shapes packaging: a reviewer will re-run a small game far sooner than they will retrain a large policy, so make the strategic core turnkey before polishing anything.

Read the whole SKILL.md on GitHub

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