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.
npx skills add CloudWave818/ieee-skills --skill ieee-reviewergit clone --depth 1 https://github.com/CloudWave818/ieee-skillsWrote 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.
[](https://agentmods.dev/skills/cloudwave818/ieee-skills/ieee-reviewer)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.00286 |
| Sonnet 5 | $0.00020 | $0.00114 |
| Haiku 4.5 | $0.00010 | $0.00057 |
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 12d 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.
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.
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.
- agents/openai.yaml 207 B
- manifest.yaml 3.4 KB
- static/core/output-format.md 318 B
- static/core/stance.md 471 B
- static/core/workflow.md 461 B
- static/fragments/domain/ai-ml.md 169 B
- static/fragments/domain/circuits.md 137 B
- static/fragments/domain/communications.md 158 B
- static/fragments/domain/control.md 155 B
- static/fragments/domain/embedded-systems.md 152 B
- static/fragments/domain/general-engineering.md 156 B
- static/fragments/domain/power-energy.md 169 B
- static/fragments/domain/robotics.md 129 B
- static/fragments/domain/signal-processing.md 149 B
- static/fragments/review_scope/abstract-intro.md 283 B
- static/fragments/review_scope/experiments.md 201 B
- static/fragments/review_scope/figures-tables.md 349 B
- static/fragments/review_scope/full-manuscript.md 221 B
- static/fragments/review_scope/method.md 260 B
- static/fragments/review_scope/rebuttal-readiness.md 309 B
- static/fragments/review_scope/review-comment-audit.md 1.3 KB
- static/fragments/strictness/harsh.md 194 B
- static/fragments/strictness/quick.md 84 B
- static/fragments/strictness/standard.md 128 B
- static/fragments/venue/conference.md 211 B
- static/fragments/venue/generic.md 111 B
- static/fragments/venue/journal.md 144 B
- static/fragments/venue/letter.md 167 B
- static/fragments/venue/magazine.md 138 B
- static/fragments/venue/transaction.md 181 B
- static/gates/advancement.md 337 B
- static/gates/clarity.md 383 B
- static/gates/compliance.md 447 B
- static/gates/data.md 382 B
- static/gates/novelty.md 278 B
- static/gates/scope.md 316 B
- static/gates/validity.md 309 B
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.
- 12d ago First seen · 79 lines · 102 tokens per session scan A 7ffaaec576e4
ieee-reviewer is a skill published in the GitHub repository CloudWave818/ieee-skills (280 stars, last pushed 1mo ago), licensed MIT. It adds 102 tokens to every session and 572 once invoked, about $0.0005 per session on Opus 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.
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