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 ACM IMC measurements, covering representative vantage points, honest ground truth, longitudinal design for a moving Internet, safe and ethical…
MITAuto-check passed
Install Imc Experiments
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-experiments -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills imc-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/IMC-Skills/skills/imc-experiments .claude/skills/imc-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 "imc-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-experiments into .claude/skills/imc-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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/IMC-Skills/skills/imc-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 imc-experiments -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills imc-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/IMC-Skills/skills/imc-experiments .agents/skills/imc-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 "imc-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-experiments into .agents/skills/imc-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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 imc-experiments -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills imc-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/IMC-Skills/skills/imc-experiments .cursor/skills/imc-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 "imc-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-experiments into .cursor/skills/imc-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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 IMC-Skills/skills/imc-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 imc-experiments -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills imc-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/IMC-Skills/skills/imc-experiments .gemini/skills/imc-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 "imc-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-experiments into .gemini/skills/imc-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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 imc-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 imc-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/IMC-Skills/skills/imc-experiments .github/skills/imc-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 "imc-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-experiments into .github/skills/imc-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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 imc-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 imc-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/IMC-Skills/skills/imc-experiments .opencode/skills/imc-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 "imc-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IMC-Skills/skills/imc-experiments into .opencode/skills/imc-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imc-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
imc-experiments- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 552 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 ACM IMC measurements, covering representative vantage points, honest ground truth, longitudinal design for a moving Internet, safe and ethical…
- Auditing ACM IMC measurements
- SKILL.md covers Design audit, Claim-to-evidence design table, Ethical and safe active… and Provenance floor for…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering representative vantage points
What it does
Imc Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing ACM IMC measurements, covering representative vantage points, honest ground truth, longitudinal design for a moving Internet, safe and ethical active measurement, coverage-bias quantification, provenance pinning, and matching the measurement to the shape of each claim about the real Internet.
Its SKILL.md is about 1.4k 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 ACM IMC measurements
- Covering representative vantage points
- Honest ground truth
- Longitudinal design for a moving Internet
Example prompts
- “/imc-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
Imc Experiments loads about 1.4k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 552 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). 552 words, ~1,364 tokens.
Download SKILL.mdSave it as
.claude/skills/imc-experiments/SKILL.md (or your agent's skills folder).- name
- imc-experiments
- description
- Use when designing or auditing ACM IMC measurements, covering representative vantage points, honest ground truth, longitudinal design for a moving Internet, safe and ethical active measurement, coverage-bias quantification, provenance pinning, and matching the measurement to the shape of each claim about the real Internet.
IMC Measurements
Use this before submission when the measurement design is not yet locked. IMC reviewers are measurement empiricists; the study is where a good question is won or lost. The organizing principle is evidence proportional to a claim about the real Internet — the measurement must observe the thing the paper asserts, from vantage points and over a period a skeptic would accept, and it must be collected safely and ethically.
Design audit
- Match the measurement to the claim shape. A claim about reachability in the wild needs many real vantage points; a claim about deployment needs coverage of the population; a claim about behavior over time needs a dated longitudinal window; a claim about security needs validated ground truth. A snapshot from two hosts cannot support a wild-Internet claim.
- Choose vantage points for representativeness, not convenience. Name locations, ASes, and probe types; argue why they support the claim; and quantify the coverage bias you cannot remove (e.g., volunteer probes over-representing certain regions).
- Get ground truth right. For detection/labeling claims, state where the labels come from and validate a subsample against an independent source; report the residual error.
- Design for a moving Internet. Instrument for churn, diurnal effects, load-balancing, CDN and anycast behavior, and path changes. Decide before collecting what a change over time would mean.
- Make active measurement safe and ethical (see the safety block) — this is inseparable from the design at IMC, not a compliance afterthought.
- Pin provenance so the measurement can be re-run as a method and its data reproduced as an
analysis (
imc-reproducibility).
Claim-to-evidence design table
| Claim about the Internet | Matching evidence | Reject pattern avoided |
|---|---|---|
| "Reachable/blocked in the wild" | Many real vantage points across networks/regions, dated | "Two hosts stood in for the Internet" |
| "Widely deployed" | Population-scale coverage with stated sampling | "Convenience sample, claimed universal" |
| "Behavior changes over time" | Dated longitudinal window with stability analysis | "Single snapshot presented as a trend" |
| "We detect/measure X accurately" | Validated ground-truth subsample + error bounds | "No ground truth; labels unvalidated" |
| "This vantage point is representative" | Coverage-bias quantified vs. the target population | "Bias assumed away" |
Show full SKILL.md (210 more words)Show less
Ethical and safe active measurement
At IMC this is design, and it is a review gate (imc-submission):
[Do no harm] rate-limit probes; avoid overloading targets or intermediary networks
[Opt-out] honor blocklists and abuse contacts; provide a clear opt-out and project page
[Human data] for traffic/DNS/user data, obtain IRB approval/exemption; minimize and anonymize
[Belmont] argue respect for persons (consent where owed), beneficence (risk vs. benefit),
justice (who bears risk vs. benefits)
[Disclosure] for vulnerability/exposure findings, plan responsible disclosure and a timeline
[Consent] for volunteer vantage points, obtain informed consent and protect participantsProvenance floor for measurement studies
- Record every vantage point (location, AS, probe type) and quantify coverage.
- Record timing: measurement dates, durations, cadence, and the analysis window.
- Record targets: seed/target lists with capture dates and how they were sourced.
- Record tools: exact versions, configs, rate limits, and opt-out handling.
- Archive the captured data, not just the query — the Internet will have changed by re-run.
Vignette: measuring protocol deployment
Suppose the paper claims a protocol is widely deployed. The matching plan: scan (or query a platform for) a population-scale target set with stated inclusion criteria; run from vantage points whose coverage you quantify; date every scan and repeat over a window to show stability; validate a subsample of "deployed" classifications against an independent signal; handle churn and duplicates explicitly; and document the probing safety design in the Ethics section — every number traceable to a dated, provenanced capture in the released dataset.
Reporting floor
- Confidence intervals for rate/proportion estimates; say what they represent and the sample size.
- Coverage and its bias, stated quantitatively, for every vantage-point-based claim.
- Measurement dates and windows for every temporal claim.
- The compute/probe budget and any rate limits actually used.
Output format
[Measurement readiness] strong / adequate / weak
[Claim -> evidence map] <claim: vantage points / window / ground truth / statistic>
[Representativeness] <vantage points named? coverage bias quantified?>
[Ethics/safety] <active-measurement safety + IRB + disclosure handled? yes/no>
[Provenance] <vantage points / timing / targets / tool versions pinned? yes/no>
[Decision-critical next run] <one measurement to add or extend>© 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 IMC-Skills/skills/imc-experiments of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Imc 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 |
|---|---|---|---|---|---|---|
| Imc Experiments this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | 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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Experiment Audit
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Experiment Designer
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A skill your agent uses when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A/B outcomes with practical statistical rigor.
OpenClaw Design Audit
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Audits OpenClaw frontend code and rendered pages for token misuse, reimplemented primitives, accessibility and responsive defects and off-brand copy, with an evidence-based report.
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Questions about Imc Experiments
What does Imc Experiments do?
A skill your agent uses when designing or auditing ACM IMC measurements, covering representative vantage points, honest ground truth, longitudinal design for a moving Internet, safe and ethical…. Imc Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing ACM IMC measurements, covering representative vantage points, honest ground truth, longitudinal design for a moving Internet, safe and ethical active measurement, coverage-bias quantification, provenance pinning, and matching the measurement to the shape of each claim about the real Internet.
When should I use Imc Experiments?
Imc Experiments fits situations like: auditing ACM IMC measurements; covering representative vantage points; honest ground truth; longitudinal design for a moving Internet.
How do I install Imc Experiments in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-experiments -a claude-code`. Or copy the skill folder (IMC-Skills/skills/imc-experiments in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/imc-experiments in your project. Claude Code loads it when a task matches its description.
How do I install Imc Experiments in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-experiments -a codex`. Or copy the skill folder (IMC-Skills/skills/imc-experiments in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/imc-experiments in your project. Codex loads it when a task matches its description.
Can I use Imc 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 imc-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/imc-experiments, .gemini/skills/imc-experiments, .github/skills/imc-experiments and .opencode/skills/imc-experiments in your project.
What does Imc Experiments need to run?
SKILL.md names no scripts, command-line tools or credentials: Imc Experiments is instructions for the agent only.
Does Imc 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 Imc 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 Imc Experiments use?
Imc 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 Imc Experiments use?
About 1.4k tokens (SKILL.md is roughly 5.5k 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 Imc Experiments?
Skills that share tags, products or a category with Imc 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 Imc 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.