ieee-experiment

ieee-experiment is a skill for Codex from CloudWave818/ieee-skills. It costs 68 tokens per session (443 once invoked), scanned A, original, MIT.

A review process for checking whether an IEEE research paper's experiments actually support its claims. It examines comparisons, component-removal tests, reliability checks, measurements, complexity, and reproducibility.

In plain words
What is it for?
Use it when planning experiments, auditing completed results, writing an IEEE paper, or answering reviewers. It builds a claim-to-evidence table and identifies the experiments most likely to affect the paper's credibility.
Why use it?
It exposes missing or unfair evidence before submission, such as weak baselines, unsupported conclusions, or results tested under too few conditions.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it when planning experiments, auditing completed results, writing an IEEE paper, or answering reviewers. It builds a claim-to-evidence table and identifies the experiments most likely to affect the paper's credibility.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cloudwave818/ieee-skills/ieee-experiment
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add CloudWave818/ieee-skills --skill ieee-experiment
Clone the repo
git clone --depth 1 https://github.com/CloudWave818/ieee-skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ieee-experiment

README.md
[![agentmods](https://agentmods.dev/badge/skills/cloudwave818/ieee-skills/ieee-experiment/github.svg)](https://agentmods.dev/skills/cloudwave818/ieee-skills/ieee-experiment)
Your own site
<a href="https://agentmods.dev/skills/cloudwave818/ieee-skills/ieee-experiment"><img src="https://agentmods.dev/badge/skills/cloudwave818/ieee-skills/ieee-experiment/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ieee-experiment

Your own site · 80×15
<a href="https://agentmods.dev/skills/cloudwave818/ieee-skills/ieee-experiment"><img src="https://agentmods.dev/badge/skills/cloudwave818/ieee-skills/ieee-experiment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 443 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00068 $0.00443
Opus 5.5 $0.00027 $0.00177
Sonnet 5.5 $0.00014 $0.00089
Haiku 4.5 $0.00007 $0.00044

Measured 2mo ago against content hash 21048e83b92d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ieee-experiment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ieee-experiment/SKILL.md · 51 lines

What it actually says

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:

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.

Files

What ships with it

32 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 51 lines · 68 tokens per session scan A 21048e83b92d

Subscribe to this mod's changes

ieee-experiment is a skill published in the GitHub repository CloudWave818/ieee-skills (429 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 443 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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ieee-experiment next to 6 skills from other repositories
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