Design Audit Against Rams' Principles
thedotmack/claude-mem
Audits a design against Dieter Rams' ten principles of good design, scores each with evidence, and hands off a make-plan prompt for a new, refined or redesigned outcome.
A skill your agent uses when designing or auditing AAMAS experiments - self-play and population-based training, opponent selection, equilibrium and regret metrics, game-theoretic simulations…
MITAuto-check passed
Install Aamas Experiments
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-experiments -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aamas-experiments --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/AAMAS-Skills/skills/aamas-experiments .claude/skills/aamas-experiments && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "aamas-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAMAS-Skills/skills/aamas-experiments into .claude/skills/aamas-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aamas-experiments", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAMAS-Skills/skills/aamas-experimentsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-experiments -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aamas-experiments --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/AAMAS-Skills/skills/aamas-experiments .agents/skills/aamas-experiments && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aamas-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAMAS-Skills/skills/aamas-experiments into .agents/skills/aamas-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aamas-experiments", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-experiments -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aamas-experiments --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/AAMAS-Skills/skills/aamas-experiments .cursor/skills/aamas-experiments && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aamas-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAMAS-Skills/skills/aamas-experiments into .cursor/skills/aamas-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aamas-experiments", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path AAMAS-Skills/skills/aamas-experiments--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-experiments -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aamas-experiments --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/AAMAS-Skills/skills/aamas-experiments .gemini/skills/aamas-experiments && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aamas-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAMAS-Skills/skills/aamas-experiments into .gemini/skills/aamas-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aamas-experiments", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aamas-experimentsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-experiments -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/AAMAS-Skills/skills/aamas-experiments .github/skills/aamas-experiments && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aamas-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAMAS-Skills/skills/aamas-experiments into .github/skills/aamas-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aamas-experiments", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-experiments -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aamas-experiments --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/AAMAS-Skills/skills/aamas-experiments .opencode/skills/aamas-experiments && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aamas-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAMAS-Skills/skills/aamas-experiments into .opencode/skills/aamas-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aamas-experiments", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
aamas-experiments- GitHub stars
- 1.2k
- Token cost
- ~978 tokens
- SKILL.md length
- 423 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when designing or auditing AAMAS experiments - self-play and population-based training, opponent selection, equilibrium and regret metrics, game-theoretic simulations…
- Auditing AAMAS experiments - self-play and population-based training
- SKILL.md covers Experiment audit, What experiments are for at…, Interaction-validation design… and Vignette: a…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Opponent selection
What it does
Aamas Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing AAMAS experiments - self-play and population-based training, opponent selection, equilibrium and regret metrics, game-theoretic simulations, ablations, seeds, hyperparameters, compute, and claim-to-evidence fit - with emphasis on experiments that probe the interaction rather than chase a single-agent leaderboard.
Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Auditing AAMAS experiments - self-play and population-based training
- Opponent selection
- Equilibrium and regret metrics
- Game-theoretic simulations
Example prompts
- “/aamas-experiments”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Aamas Experiments loads about 978 tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 423 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 423 words, ~978 tokens.
Download SKILL.mdSave it as
.claude/skills/aamas-experiments/SKILL.md (or your agent's skills folder).- name
- aamas-experiments
- description
- Use when designing or auditing AAMAS experiments - self-play and population-based training, opponent selection, equilibrium and regret metrics, game-theoretic simulations, ablations, seeds, hyperparameters, compute, and claim-to-evidence fit - with emphasis on experiments that probe the interaction rather than chase a single-agent leaderboard.
AAMAS Experiments
Use this before submission when the empirical or simulation story is not yet locked. At AAMAS the experiment exists to test the interaction claim, not to top a benchmark.
Experiment audit
- Map each empirical claim to a game, a self-play run, a population sweep, an ablation, or a deviation test.
- Choose opponents deliberately: self-play alone rarely suffices; include held-out opponents, population sets, or classical strategies as the claim requires.
- Separate simulations that validate a solution concept (where the equilibrium is known) from real or applied studies that show practical multiagent behavior.
- Report uncertainty for stochastic results over both seeds and opponents: standard errors, confidence intervals, or paired tests.
- Report the environment, number of agents, training regime, evaluation protocol, metrics, hyperparameter ranges, chosen settings, seeds, hardware, software versions, and runtime.
- Add ablations for the interaction mechanism (communication, reward sharing, the payment rule), not just cosmetic variants.
- Audit for the mismatch between the strategic claim and the setup: an equilibrium claim tested against only one fixed opponent, or a cooperation claim that hides a reward-shaping constant.
What experiments are for at this venue
- The strongest design shows the interaction under stress: agents that can deviate, opponents the method did not train against, and populations that vary in size or composition.
- One experiment that lets agents try to exploit the mechanism and fails to profit is worth more than five extra environments where nothing strategic is tested.
- Reviewers, often game theorists, check whether the metric matches the claim: convergence to a named solution concept, exploitability, social welfare, or regret - not just episodic return.
Show full SKILL.md (161 more words)Show less
Interaction-validation design table
| Interaction claim | Matching experiment | Reject pattern avoided |
|---|---|---|
| Converges to equilibrium | Convergence/exploitability curve under simultaneous adaptation | "Equilibrium asserted, never measured" |
| Mechanism is truthful | Strategic-deviation test: an agent tries to misreport | "Truthfulness proved, never stress-tested" |
| Beats other agents | Round-robin vs held-out opponents and a population | "Self-play only" |
| Emergent cooperation | Sweep over reward/opponent settings with variance | "One seed, one setting, one story" |
Vignette: a coordination-protocol study
Suppose the paper claims a learned protocol raises cooperation in a repeated public-goods game. The matching plan: sweep group size and defector fraction for cooperation curves, add held-out opponents that never appeared in training, and inject a free-rider agent to measure whether it profits - every panel tied to a numbered claim or definition.
Statistical reporting floor
- Seeds and replication counts for every stochastic curve; captions must state whether bands are standard errors, confidence intervals, or quantiles, and how many opponents were averaged.
- Report the compute actually consumed by self-play, not vague feasibility language.
Output format
[Experiment readiness] strong / adequate / weak
[Claim -> evidence map] <claim: game / self-play / population / deviation test>
[Missing interaction evidence] <opponents / deviation test / seeds / metric>
[Reproducibility gaps] <hyperparameters / compute / env / seeds>
[Decision-critical next run] <one experiment or simulation>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in AAMAS-Skills/skills/aamas-experiments of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aamas Experiments next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Aamas Experiments this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~978 | Automated safety check: Pass | MIT | |
| Design Audit Against Rams' Principlesthedotmack/claude-mem | 99k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Experiment Auditwanshuiyin/Auto-claude-code-research-in-sleep | 17k | 1 repos | ~2.7k | Automated safety check: Notes | MIT | |
| Experiment Auditwanshuiyin/Auto-claude-code-research-in-sleep | 17k | — | ~3.2k | Automated safety check: Notes | MIT | |
| Experiment Designeralirezarezvani/claude-skills | 28k | 1 repos | ~783 | Automated safety check: Pass | MIT | |
| OpenClaw Design Auditopenclaw/clawhub | 9.5k | — | ~498 | Automated safety check: Pass | MIT |
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Questions about Aamas Experiments
What does Aamas Experiments do?
A skill your agent uses when designing or auditing AAMAS experiments - self-play and population-based training, opponent selection, equilibrium and regret metrics, game-theoretic simulations…. Aamas Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing AAMAS experiments - self-play and population-based training, opponent selection, equilibrium and regret metrics, game-theoretic simulations, ablations, seeds, hyperparameters, compute, and claim-to-evidence fit - with emphasis on experiments that probe the interaction rather than chase a single-agent leaderboard.
When should I use Aamas Experiments?
Aamas Experiments fits situations like: auditing AAMAS experiments - self-play and population-based training; opponent selection; equilibrium and regret metrics; game-theoretic simulations.
How do I install Aamas Experiments in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-experiments -a claude-code`. Or copy the skill folder (AAMAS-Skills/skills/aamas-experiments in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aamas-experiments in your project. Claude Code loads it when a task matches its description.
How do I install Aamas Experiments in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-experiments -a codex`. Or copy the skill folder (AAMAS-Skills/skills/aamas-experiments in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aamas-experiments in your project. Codex loads it when a task matches its description.
Can I use Aamas Experiments in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-experiments -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aamas-experiments, .gemini/skills/aamas-experiments, .github/skills/aamas-experiments and .opencode/skills/aamas-experiments in your project.
What does Aamas Experiments need to run?
SKILL.md names no scripts, command-line tools or credentials: Aamas Experiments is instructions for the agent only.
Does Aamas Experiments access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Aamas Experiments safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Aamas Experiments use?
Aamas Experiments is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Aamas Experiments use?
About 978 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Aamas Experiments?
Skills that share tags, products or a category with Aamas Experiments: Design Audit Against Rams' Principles (thedotmack/claude-mem, 99k stars), Experiment Audit (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars), Experiment Audit (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars) and Experiment Designer (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aamas Experiments?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.