Agent skill

Ieee Experiment

by CloudWave818 in CloudWave818/ieee-skills

Design, audit, and strengthen experimental validation for IEEE manuscripts using routed claim-evidence checks.

MITAuto-check passedMedia & Creative

Install Ieee Experiment

skills CLI
$ npx skills add CloudWave818/ieee-skills --skill ieee-experiment -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CloudWave818/ieee-skills ieee-experiment --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CloudWave818/ieee-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ieee-experiment .claude/skills/ieee-experiment && rm -rf skills-src

Use ~/.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/

Facts

Skill name
ieee-experiment
GitHub stars
353
Token cost
~577 tokens
SKILL.md length
194 words
Files
35
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Design, audit, and strengthen experimental validation for IEEE manuscripts using routed claim-evidence checks.

  • Works in 7 steps: Read manifest.yaml. → Read every file listed under always_load. → Detect the axes → …
  • Planning experiments
  • SKILL.md covers Routing Protocol, Output Contract and Red Lines
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ieee Experiment is an agent skill from CloudWave818/ieee-skills. Design, audit, and strengthen experimental validation for IEEE manuscripts using routed claim-evidence checks. Use when planning experiments, selecting baselines, designing ablations, choosing metrics, checking fairness, adding robustness tests, explaining results, analyzing complexity, building claim-to-evidence matrices, or responding to reviewer concerns about insufficient experiments.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 40 other files (for example `agents/openai.yaml`, `manifest.yaml` and `static/core/claim-evidence-matrix.md`).

It sits in Media & Creative, covering Design review and critique. The repository describes itself as: 面向 IEEE 风格论文写作、润色、审稿、实验、图表、LaTeX、引用和论文阅读的 Codex skills。 The licence is MIT.

When your agent uses it

  • Planning experiments
  • Selecting baselines
  • Designing ablations
  • Choosing metrics

Example prompts

  • “/ieee-experiment”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Read manifest.yaml.
  2. Read every file listed under always_load.
  3. Detect the axes
  4. State the detected axes in one short line.
  5. Load only the matching fragments.
  6. Build or update a claim-evidence matrix.
  7. Identify missing experiments by reviewer impact.

What it can do on your machine

Read from SKILL.md and the folder at commit ee30fda. 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

Ieee Experiment loads about 577 tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 194 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~577

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 CloudWave818/ieee-skills at commit ee30fda, republished under its MIT licence (© CloudWave818). 194 words, ~577 tokens.

Download SKILL.mdSave it as .claude/skills/ieee-experiment/SKILL.md (or your agent's skills folder). This skill also uses 34 other files; get the full folder from GitHub.
name
ieee-experiment
description
Design, audit, and strengthen experimental validation for IEEE manuscripts using routed claim-evidence checks. Use when planning experiments, selecting baselines, designing ablations, choosing metrics, checking fairness, adding robustness tests, explaining results, analyzing complexity, building claim-to-evidence matrices, or responding to reviewer concerns about insufficient experiments.

IEEE Experiment Router

Use this skill to decide whether the experiments prove the paper's claims. The primary output is an evidence audit, not generic advice.

Do not design experiments from memory alone. Follow the routing protocol and load the selected fragments.

Routing Protocol

  1. Read manifest.yaml.
  2. Read every file listed under always_load.
  3. Detect the axes:
    • task_type: classification / detection / regression / control / signal-processing / communications / optimization / hardware-system / general.
    • evidence_type: baseline / ablation / robustness / complexity / statistical / real-world / reproducibility.
    • failure_mode: missing-traditional-baseline / unfair-comparison / weak-ablation / no-condition-test / overclaimed-results / insufficient-reproducibility.
    • stage: planning / audit / result-writing / reviewer-response.
  4. State the detected axes in one short line.
  5. Load only the matching fragments.
  6. Build or update a claim-evidence matrix.
  7. Identify missing experiments by reviewer impact.

Output Contract

Default output:

text
Detected axes: task_type=..., evidence_type=..., failure_mode=..., stage=...

Claim-evidence matrix
Claim | Required evidence | Current evidence | Missing experiment | Review risk

Priority fixes
1. ...

For experiment planning, return an experiment plan with baselines, metrics, variables, controlled conditions, and expected claims.

For result writing, return IEEE-style result paragraphs and flag any claim that lacks evidence.

Red Lines

Do not invent numerical results, datasets, baseline performance, p-values, hardware metrics, or statistical significance.

Do not recommend unnecessary experiments that do not support a stated claim.

Do not treat "more experiments" as automatically better. Prioritize experiments that close the reviewer's proof gap.

© CloudWave818, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 34 other files in skills/ieee-experiment of CloudWave818/ieee-skills.

  • SKILL.md
  • agents/openai.yaml
  • manifest.yaml
  • static/core/claim-evidence-matrix.md
  • static/core/output-format.md
  • static/core/stance.md
  • static/core/workflow.md
  • static/fragments/evidence_type/ablation.md
  • static/fragments/evidence_type/baseline.md
  • static/fragments/evidence_type/complexity.md
  • static/fragments/evidence_type/real-world.md
  • static/fragments/evidence_type/reproducibility.md
  • static/fragments/evidence_type/robustness.md
  • static/fragments/evidence_type/statistical.md
  • static/fragments/failure_mode/insufficient-reproducibility.md
  • … and 20 more

Open the folder on GitHubat commit ee30fda

Compare with similar skills

Ieee Experiment 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.

Ieee Experiment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ieee Experiment this skillCloudWave818/ieee-skills353—~577Automated safety check: PassMIT
Consult ClaudeEpicenterHQ/epicenter4.8k—~1.5kAutomated safety check: PassCustom licence
System Atlasinkboard/system-atlas428—~2.3kAutomated safety check: PassMIT
Design Image Studiokangarooking/design-image-studio102—~1.5kAutomated safety check: PassMIT
Kicad Reviewmixelpixx/Konnect895—~3.2kAutomated safety check: PassAGPL-3.0
Design AuditUniClipboard/UniClipboard1.8k—~554Automated safety check: PassAGPL-3.0

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Questions about Ieee Experiment

What does Ieee Experiment do?

Design, audit, and strengthen experimental validation for IEEE manuscripts using routed claim-evidence checks. Ieee Experiment is an agent skill from CloudWave818/ieee-skills. Design, audit, and strengthen experimental validation for IEEE manuscripts using routed claim-evidence checks.

When should I use Ieee Experiment?

Ieee Experiment fits situations like: planning experiments; selecting baselines; designing ablations; choosing metrics.

How do I install Ieee Experiment in Claude Code?

Run `npx skills add CloudWave818/ieee-skills --skill ieee-experiment -a claude-code`. Or copy the skill folder (skills/ieee-experiment in CloudWave818/ieee-skills) into .claude/skills/ieee-experiment in your project. Claude Code loads it when a task matches its description.

How do I install Ieee Experiment in Codex?

Run `npx skills add CloudWave818/ieee-skills --skill ieee-experiment -a codex`. Or copy the skill folder (skills/ieee-experiment in CloudWave818/ieee-skills) into .agents/skills/ieee-experiment in your project. Codex loads it when a task matches its description.

Can I use Ieee Experiment 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 CloudWave818/ieee-skills --skill ieee-experiment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ieee-experiment, .gemini/skills/ieee-experiment, .github/skills/ieee-experiment and .opencode/skills/ieee-experiment in your project.

What does Ieee Experiment need to run?

SKILL.md names no scripts, command-line tools or credentials: Ieee Experiment is instructions for the agent only.

Does Ieee Experiment 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 Ieee Experiment 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 Ieee Experiment use?

Ieee Experiment 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 Ieee Experiment use?

About 577 tokens (SKILL.md is roughly 2.3k 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 Ieee Experiment?

Skills that share tags, products or a category with Ieee Experiment: Consult Claude (EpicenterHQ/epicenter, 4.8k stars), System Atlas (inkboard/system-atlas, 428 stars), Design Image Studio (kangarooking/design-image-studio, 102 stars) and Kicad Review (mixelpixx/Konnect, 895 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ieee Experiment?

CloudWave818 (a GitHub user) maintains it in CloudWave818/ieee-skills, which has 353 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on August 12, 2026.

Source: CloudWave818/ieee-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.