Borrowing it
Nothing to install: this file belongs to Guo-Chenxu/paper-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Guo-Chenxu/paper-agent/main/.claude/skills/paper-annotation-reviser/SKILL.mdgit clone --depth 1 https://github.com/Guo-Chenxu/paper-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/guo-chenxu/paper-agent/paper-annotation-reviser)<a href="https://agentmods.dev/skills/guo-chenxu/paper-agent/paper-annotation-reviser"><img src="https://agentmods.dev/badge/skills/guo-chenxu/paper-agent/paper-annotation-reviser/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/guo-chenxu/paper-agent/paper-annotation-reviser"><img src="https://agentmods.dev/badge/skills/guo-chenxu/paper-agent/paper-annotation-reviser.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 | $0.00053 | $0.01285 |
| Opus 5.5 | $0.00021 | $0.00514 |
| Sonnet 5.5 | $0.00011 | $0.00257 |
| Haiku 4.5 | $0.00005 | $0.00128 |
Grade A, and why
paper-annotation-reviser 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.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Annotation Reviser
Overview
Turn an annotated paper PDF into a verifiable TeX revision workflow. Core principle: annotations are not merely local sentence-level TODOs; they are samples that reveal similar issues across the whole paper.
REQUIRED SUB-SKILL: Use pdf-annotation-extractor to extract or read PDF annotations.
When To Use
- The user provides an annotated paper PDF and asks to revise
.tex/ LaTeX source files. - The user asks to "revise the paper according to annotations", "do not only fix annotated locations", or "check the whole paper for similar issues".
- The user wants to preserve writing issues identified in annotations for later reuse by
ai-detector.
Do not use this for plain text polishing without PDF annotations. For those tasks, prefer normal editing or ai-detector.
Workflow
1. Extract or read annotations
- If no annotation file already exists, invoke
pdf-annotation-extractorto generate Markdown and, when needed, JSON as well. - If
*_annotations.mdor*_annotations.jsonalready exists, read the existing file and spot-check whether the PDF/annotation summary matches. - Record the annotation count, page numbers, annotation types, source text snippets, and comment content.
2. Build an annotation-to-TeX location table
For each actionable annotation, build a table:
| Annotation | PDF Page | Selected Text | TeX Location | Action |
|---|---|---|---|---|
| ID | page number | short excerpt from annotated text | path/to/file.tex:line or unmatched |
revise / ignore / ask |
When locating text, account for differences between PDF and TeX: line breaks, hyphenation, TeX commands, math symbols, citation commands, and escaped characters. If a location cannot be found, do not guess-edit; mark it as unmatched and explain why.
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 · 133 lines · 53 tokens per session scan A 150d97696f4f
paper-annotation-reviser is a skill published in the GitHub repository Guo-Chenxu/paper-agent (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,285 once invoked, about $0.0002 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 2026-08-31.
paper-annotation-reviser compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paper-annotation-reviserGuo-Chenxu/paper-agent | Skill | 4 | 2d ago | Apache-2.0 | A | 53 | Claude Code |
| pydicomK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 52 | Claude Code, Codex |
| nature-paper2wordYuan1z0825/nature-skills | Skill | 52k | 2d ago | Apache-2.0 | A | 233 | Codex |
| pptx-postersK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 59 | Claude Code |
| nature-paper-transYuan1z0825/nature-skills | Skill | 52k | 2d ago | Apache-2.0 | A | 68 | Codex |
| extracting-lab-tablesmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 210 | Claude Code |
| paper-compilewanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | B | 53 | Claude Code |