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 ICASSP experiments across signal-processing modalities — matching the metric to the task law (WER, SI-SDR, PESQ/STOI, EER/minDCF, PSNR/SSIM, BER…
MITAuto-check passed
Install Icassp Experiments
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icassp-experiments -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icassp-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/ICASSP-Skills/skills/icassp-experiments .claude/skills/icassp-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 "icassp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICASSP-Skills/skills/icassp-experiments into .claude/skills/icassp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icassp-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/ICASSP-Skills/skills/icassp-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 icassp-experiments -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icassp-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/ICASSP-Skills/skills/icassp-experiments .agents/skills/icassp-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 "icassp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICASSP-Skills/skills/icassp-experiments into .agents/skills/icassp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icassp-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 icassp-experiments -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icassp-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/ICASSP-Skills/skills/icassp-experiments .cursor/skills/icassp-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 "icassp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICASSP-Skills/skills/icassp-experiments into .cursor/skills/icassp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icassp-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 ICASSP-Skills/skills/icassp-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 icassp-experiments -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icassp-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/ICASSP-Skills/skills/icassp-experiments .gemini/skills/icassp-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 "icassp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICASSP-Skills/skills/icassp-experiments into .gemini/skills/icassp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icassp-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 icassp-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 icassp-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/ICASSP-Skills/skills/icassp-experiments .github/skills/icassp-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 "icassp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICASSP-Skills/skills/icassp-experiments into .github/skills/icassp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icassp-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 icassp-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 icassp-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/ICASSP-Skills/skills/icassp-experiments .opencode/skills/icassp-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 "icassp-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICASSP-Skills/skills/icassp-experiments into .opencode/skills/icassp-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icassp-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
icassp-experiments- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 501 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 ICASSP experiments across signal-processing modalities — matching the metric to the task law (WER, SI-SDR, PESQ/STOI, EER/minDCF, PSNR/SSIM, BER…
- Auditing ICASSP experiments across signal-processing modalities — matching the metric to the task law (WER
- SKILL.md covers Experiment audit, Match the metric to the task law, What experiments are for at… and Ablation and sweep stub, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Anchoring baselines to current strong methods and standard corpora
What it does
Icassp Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing ICASSP experiments across signal-processing modalities — matching the metric to the task law (WER, SI-SDR, PESQ/STOI, EER/minDCF, PSNR/SSIM, BER, RMSE), anchoring baselines to current strong methods and standard corpora, sweeping the operating condition, and reporting spread over runs within the four-page limit.
Its SKILL.md is about 1.1k 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 ICASSP experiments across signal-processing modalities — matching the metric to the task law (WER
- Anchoring baselines to current strong methods and standard corpora
- Sweeping the operating condition
- Reporting spread over runs within the four-page limit
Example prompts
- “/icassp-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
Icassp Experiments loads about 1.1k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 501 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). 501 words, ~1,135 tokens.
Download SKILL.mdSave it as
.claude/skills/icassp-experiments/SKILL.md (or your agent's skills folder).- name
- icassp-experiments
- description
- Use when designing or auditing ICASSP experiments across signal-processing modalities — matching the metric to the task law (WER, SI-SDR, PESQ/STOI, EER/minDCF, PSNR/SSIM, BER, RMSE), anchoring baselines to current strong methods and standard corpora, sweeping the operating condition, and reporting spread over runs within the four-page limit.
ICASSP Experiments
Use this before submission when the empirical story is not yet locked. ICASSP reviewers are subfield experts who know the right metric and the right baseline for your task, so the fastest route to rejection is the wrong ruler or a stale comparison. The four pages force a small number of decisive experiments, not a large number of weak ones.
Experiment audit
- Map each empirical claim to a specific table, figure, or condition sweep.
- Use the field-standard metric for the task; a novel or convenient metric invites the "that is not how this task is measured" review.
- Anchor to a current strong baseline and a standard corpus/benchmark, not to a weak or dated reference that flatters the result.
- Sweep the operating condition that matters (SNR, reverberation, bit rate, noise level); a single-condition number rarely convinces a signal reviewer.
- Report spread over runs (multiple seeds), and say in the caption whether bars are standard deviations, standard errors, or confidence intervals.
- Audit for train/test leakage, speaker/scene overlap across splits, and metric computed on the wrong crop, alignment, or normalization.
Match the metric to the task law
| Task | Standard metric(s) | Standard evaluation anchor |
|---|---|---|
| Speech recognition | WER / CER | LibriSpeech, WSJ, or task corpus with fixed split |
| Enhancement / separation | SI-SDR, PESQ, STOI | Matched mixture set, reference-aligned scorer |
| Speaker / language ID | EER, minDCF | Standard trial lists (e.g., VoxCeleb-style) |
| Sound event / audio tagging | mAP, F1, error rate | Fixed labeled set, defined operating point |
| Image / video restoration | PSNR, SSIM | Standard test set, defined borders and depth |
| Communications | BER / BLER vs SNR | Defined channel model and decoder |
| Estimation / detection | RMSE, ROC/AUC | Monte-Carlo trials, bound (Cramér-Rao) if apt |
Reporting the wrong metric family (e.g., classification accuracy for a separation paper) is a first-round reject pattern; match the ruler to the task before anything else.
Show full SKILL.md (205 more words)Show less
What experiments are for at this venue
- ICASSP experiments exist to demonstrate a signal-processing mechanism works under realistic conditions, not to top a leaderboard by any margin. One clean condition sweep beats five extra datasets at a single point.
- The strongest design isolates the claimed mechanism with an ablation and shows it holds across the operating range, with the standard baseline drawn on the same axes.
- Where a theoretical bound exists (estimation, detection, coding), compare against it rather than only against another method.
Ablation and sweep stub
Fig. 2: metric vs condition (e.g., SI-SDR vs input SNR, 0-20 dB)
- proposed (mean ± sd over 3 seeds)
- strong baseline (same corpus, same scorer)
Table 1: ablation — remove one component at a time, same protocol
- full method | -component A | -component B | baseline
Report: corpus + split, scorer config, seeds, run count, hardware/runtimeVignette: a dereverberation paper
A submission claims improved dereverberation. The matching plan: evaluate on a standard reverberant set with PESQ and STOI using a fixed scorer, sweep reverberation time (RT60) rather than reporting one room, ablate the key module, draw a current strong baseline on the same axes, and report the mean and spread over seeds — every panel tied to the claim it supports.
Reporting floor
- Seeds and run counts for every stochastic figure; captions state what the error bars are.
- The actual compute and, for real-time claims, the measured latency or real-time factor — not a feasibility assertion.
- Honest disclosure of the condition you did not test, so a reviewer does not infer you hid it.
Output format
[Experiment readiness] strong / adequate / weak
[Metric fit] task-matched? <metric -> task>
[Baseline] current-strong / standard-corpus? yes/no
[Condition sweep] present over <axis>? yes/no
[Missing evidence] <ablation / spread / baseline / condition>
[Decision-critical next run] <one experiment>© 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 ICASSP-Skills/skills/icassp-experiments of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Icassp 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 |
|---|---|---|---|---|---|---|
| Icassp Experiments this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | 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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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 Icassp Experiments
What does Icassp Experiments do?
A skill your agent uses when designing or auditing ICASSP experiments across signal-processing modalities — matching the metric to the task law (WER, SI-SDR, PESQ/STOI, EER/minDCF, PSNR/SSIM, BER…. Icassp Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing ICASSP experiments across signal-processing modalities — matching the metric to the task law (WER, SI-SDR, PESQ/STOI, EER/minDCF, PSNR/SSIM, BER, RMSE), anchoring baselines to current strong methods and standard corpora, sweeping the operating condition, and reporting spread over runs within the four-page limit.
When should I use Icassp Experiments?
Icassp Experiments fits situations like: auditing ICASSP experiments across signal-processing modalities — matching the metric to the task law (WER; anchoring baselines to current strong methods and standard corpora; sweeping the operating condition; reporting spread over runs within the four-page limit.
How do I install Icassp Experiments in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icassp-experiments -a claude-code`. Or copy the skill folder (ICASSP-Skills/skills/icassp-experiments in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/icassp-experiments in your project. Claude Code loads it when a task matches its description.
How do I install Icassp Experiments in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icassp-experiments -a codex`. Or copy the skill folder (ICASSP-Skills/skills/icassp-experiments in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/icassp-experiments in your project. Codex loads it when a task matches its description.
Can I use Icassp 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 icassp-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/icassp-experiments, .gemini/skills/icassp-experiments, .github/skills/icassp-experiments and .opencode/skills/icassp-experiments in your project.
What does Icassp Experiments need to run?
SKILL.md names no scripts, command-line tools or credentials: Icassp Experiments is instructions for the agent only.
Does Icassp 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 Icassp 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 Icassp Experiments use?
Icassp 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 Icassp Experiments use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 Icassp Experiments?
Skills that share tags, products or a category with Icassp 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 Icassp 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.