section-review

section-review is a skill for Claude Code, Codex from Rezenders/scientific_writing_agent. It costs 22 tokens per session (757 once invoked), scanned A, original, Apache-2.0.

A review process for checking a complete manuscript section and its fit with the sections around it.

In plain words
What is it for?
Use it after substantially rewriting a section, before sending it to a co-author, or during preparation for publication.
Why use it?
It can find unclear claims, repetition, weak paragraph flow, and inconsistencies before the section is shared or submitted.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md; mentions Codex.

Good fit Use it after substantially rewriting a section, before sending it to a co-author, or during preparation for publication.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rezenders/scientific_writing_agent/section-review
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 Rezenders/scientific_writing_agent --skill section-review
Clone the repo
git clone --depth 1 https://github.com/Rezenders/scientific_writing_agent

Made for: Claude Code, 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 section-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/rezenders/scientific_writing_agent/section-review/github.svg)](https://agentmods.dev/skills/rezenders/scientific_writing_agent/section-review)
Your own site
<a href="https://agentmods.dev/skills/rezenders/scientific_writing_agent/section-review"><img src="https://agentmods.dev/badge/skills/rezenders/scientific_writing_agent/section-review/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 section-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/rezenders/scientific_writing_agent/section-review"><img src="https://agentmods.dev/badge/skills/rezenders/scientific_writing_agent/section-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 757 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.
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 $0.00022 $0.00757
Opus 5.5 $0.00009 $0.00303
Sonnet 5.5 $0.00004 $0.00151
Haiku 4.5 $0.00002 $0.00076

Measured 17d ago against content hash 6313d6d28337, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

section-review 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 17d 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.

.agents/skills/section-review/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Section Review

Overview

This is a review-only workflow for a complete section. It combines scientific critique with consistency auditing and returns one prioritized, evidence-backed report.

Follow AGENTS.md for manuscript policy and use the local Codex review agents in .agents/agents/.

When To Use

  • After writing or substantially rewriting a full section
  • Before handing a section to a co-author
  • Before higher-risk submission checks
  • When a section may have drifted from the rest of the manuscript

Inputs Required

Provide:

  1. Target section file and section heading
  2. The full target section text
  3. The neighboring section context immediately before and after when available
  4. Optional focus concerns, such as claim accuracy, comparison framing, or terminology drift

Local Agents To Use

  • .agents/agents/scientific-paper-reviewer.md
  • .agents/agents/consistency-auditor.md
  • .agents/agents/paper-implementation-checker.md when the section is implementation-heavy or makes detailed technical claims

Workflow

Phase 0 - Optional Implementation Verification

For implementation-heavy sections such as <SECTION_FILE>, <SECTION_FILE>, <SECTION_FILE>, or claim-dense parts of <SECTION_FILE>, run a targeted paper-implementation-checker pass first on the highest-risk claims.

Use this branch when technical correctness is the primary risk. Summarize any DIVERGES or CANNOT_VERIFY findings before the broader review phases.

Phase 1 - Scientific Review

Use scientific-paper-reviewer on the target section and neighboring context.

Review for:

  • local clarity
  • redundancy
  • claim precision and strength
  • paragraph flow
  • alignment with neighboring sections

Flag critical issues first and keep evidence grounded in the manuscript text.

Phase 2 - Consistency Audit

Use consistency-auditor on the same section.

Audit for:

  • macro drift
  • terminology drift
  • acronym consistency
  • notation mismatches
  • naming inconsistencies
  • contribution-statement alignment with the rest of the manuscript

Read the full file on GitHub · 108 lines

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. 17d ago Changed · +9 lines 6313d6d28337
  2. 1mo ago Changed · +29 lines · -8 tokens per session e21093a40712
  3. 2mo ago First seen · 70 lines · 30 tokens per session scan A d6d7e77dc9a9

Subscribe to this mod's changes

section-review is a skill published in the GitHub repository Rezenders/scientific_writing_agent (14 stars, last pushed 17d ago), licensed Apache-2.0. It adds 22 tokens to every session and 757 once invoked, about $0.0001 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

section-review compared with skills from other repositories

section-review next to 6 skills from other repositories
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section-reviewRezenders/scientific_writing_agentSkill1417d agoApache-2.0A22Claude Code, Codex
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matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
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research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
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