What is ieee-reviewer?

A guide for reviewing IEEE research manuscripts from a technical reviewer’s perspective. IEEE is a professional organization that publishes engineering and computing papers and sets publication standards.

Use it to review full papers or sections about methods, experiments, figures, tables, rebuttals, and review comments.

It helps find reasons a paper may be rejected, while separating supported facts from missing information. It checks the paper in a fixed order, from scope and novelty to evidence and clarity.

ieee-reviewer — Skill for Codex by CloudWave818/ieee-skills

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-reviewer

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cloudwave818/ieee-skills/ieee-reviewer/github.svg)](https://agentmods.dev/skills/cloudwave818/ieee-skills/ieee-reviewer)

Your own site

<a href="https://agentmods.dev/skills/cloudwave818/ieee-skills/ieee-reviewer"><img src="https://agentmods.dev/badge/skills/cloudwave818/ieee-skills/ieee-reviewer/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/cloudwave818/ieee-skills/ieee-reviewer"><img src="https://agentmods.dev/badge/skills/cloudwave818/ieee-skills/ieee-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 572 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.

Model	Per session	Once invoked
Fable 5.1	$0.00102	$0.00572
Opus 5.5	$0.00041	$0.00229
Sonnet 5.5	$0.00020	$0.00114
Haiku 4.5	$0.00010	$0.00057

Measured 2mo ago against content hash 7ffaaec576e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ieee-reviewer 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-reviewer/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IEEE Reviewer Router

Use this skill to simulate a strict IEEE-style technical review. The goal is to find rejection risks and actionable fixes, not to flatter the manuscript.

Do not invent reviewer identities or editorial decisions. Review only the supplied manuscript facts and clearly mark missing materials.

Routing Protocol

Read manifest.yaml.
Read every file listed under always_load.
Detect the axes:
- venue_type: transaction / journal / letter / conference / magazine / generic.
- review_scope: full-manuscript / abstract-intro / method / experiments / figures-tables / rebuttal-readiness / review-comment-audit.
- domain: ai-ml / communications / control / signal-processing / power-energy / circuits / robotics / embedded-systems / general-engineering.
- strictness: quick / standard / harsh.
State the detected axes in one short line.
Load only the matching fragments and gates.
Review using IEEE gates in this order:
- scope,
- novelty,
- validity,
- data,
- clarity,
- compliance,
- advancement.
Add first-impression checks for figures, tables, formatting, notation, and language.
For review-comment audits, judge observable quality problems rather than accusing a reviewer of using AI.
Return findings ordered by severity.

Output Contract

Default output:

Review setup
- Detected axes:
- Assessment boundary:
- Central claim:
- Visible evidence:

Major rejection risks
- [severity] issue -> why it matters -> fix

Technical review
- Scope:
- Novelty:
- Validity:
- Data and experiments:
- Clarity:
- Compliance:
- Advancement:

Presentation and first impression
- Figures/tables:
- Formatting/notation:
- Writing:

Actionable revision plan
1. ...

Likely decision posture
- [bounded, non-editorial assessment]

Use Critical, Major, and Minor severity labels.

Red Lines

Do not claim the editor's final decision.

Do not invent experiments, results, citations, line numbers, figure contents, or reviewer biographies.

Read the full file on GitHub · 79 lines

Files

What ships with it

37 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.

2mo ago First seen · 79 lines · 102 tokens per session scan A 7ffaaec576e4

Subscribe to this mod's changes

ieee-reviewer is a skill published in the GitHub repository CloudWave818/ieee-skills (429 stars, last pushed 2mo ago), licensed MIT. It adds 102 tokens to every session and 572 once invoked, about $0.0004 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.

Scientific Writing and docs

ieee-reviewer next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ieee-reviewerCloudWave818/ieee-skills	Skill	429	2mo ago	MIT	A	102	Codex
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	yesterday	Apache-2.0	A	205	Claude Code