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 Rezenders/scientific_writing_agent --skill section-reviewgit clone --depth 1 https://github.com/Rezenders/scientific_writing_agentWrote 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/rezenders/scientific_writing_agent/section-review)<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.
<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>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 | $0.00022 | $0.00757 |
| Opus 5.5 | $0.00009 | $0.00303 |
| Sonnet 5.5 | $0.00004 | $0.00151 |
| Haiku 4.5 | $0.00002 | $0.00076 |
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.
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:
- Target section file and section heading
- The full target section text
- The neighboring section context immediately before and after when available
- 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.mdwhen 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
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.
- 17d ago Changed · +9 lines 6313d6d28337
- 1mo ago Changed · +29 lines · -8 tokens per session e21093a40712
- 2mo ago First seen · 70 lines · 30 tokens per session scan A d6d7e77dc9a9
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.
section-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| section-reviewRezenders/scientific_writing_agent | Skill | 14 | 17d ago | Apache-2.0 | A | 22 | Claude Code, 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 |