paper2blog

paper2blog is a skill for Codex from microsoft/ResearchStudio. It costs 109 tokens per session (4,506 once invoked), scanned A, original, MIT.

A workflow for turning an academic paper or related research material into two editorial documents: a Chinese WeChat article and an English research-blog article. arXiv and OpenReview are services where researchers share papers and reviews.

In plain words
What is it for?
Use it to analyse papers, prepare figures, map evidence to claims, and produce the two bilingual DOCX articles.
Why use it?
It helps an editing team turn technical research into readable articles while keeping claims, figures, numbers, captions, and source links consistent between languages.

Skill for Codex ✓ vendor

Written for Codex: agents/openai.yaml present.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python skills/paper2assets/scripts/build_package.py <paper.pdf> --outdir "$BLOG_OUT".

Good fit Use it to analyse papers, prepare figures, map evidence to claims, and produce the two bilingual DOCX articles.

Compare 6 skills from other repositories ↓
About the project

ResearchStudio is a collection of skills that helps researchers develop an initial research direction into a paper and its related publication materials. It is used with Claude Code and Codex to create outputs such as papers, posters, videos, blogs, and reels. The catalogue entries are its own workflow skills for different stages of the research lifecycle.

microsoft/ResearchStudio · 3,549 stars · on GitHub · aka.ms

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/microsoft/ResearchStudio
agentmods
npx agentmods add skills/microsoft/researchstudio/paper2blog

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.

agentmods badge for paper2blog

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/researchstudio/paper2blog/github.svg)](https://agentmods.dev/skills/microsoft/researchstudio/paper2blog)
Your own site
<a href="https://agentmods.dev/skills/microsoft/researchstudio/paper2blog"><img src="https://agentmods.dev/badge/skills/microsoft/researchstudio/paper2blog/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 paper2blog

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/researchstudio/paper2blog"><img src="https://agentmods.dev/badge/skills/microsoft/researchstudio/paper2blog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,506 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00109 $0.04506
Opus 5.5 $0.00044 $0.01802
Sonnet 5.5 $0.00022 $0.00901
Haiku 4.5 $0.00011 $0.00451

Measured 2mo ago against content hash bc70d284295f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paper2blog 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.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/build_wechat_docx.py, scripts/check_blog_package.py, scripts/crop_figure.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

ResearchStudio-Reel/skills/paper2blog/SKILL.md · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bilingual Paper Editorial

Purpose

Create an editorial package for an editing team from academic paper materials. By default the package has two required deliverables, both .docx:

  • <blog_outdir>/blog_zh.docx — a Chinese WeChat public-account article.
  • <blog_outdir>/blog_en.docx — an English research-blog article.

Both carry strong content logic, figure-text coordination, captions, and source links. They share one evidence map and one set of extracted/cropped figures — you do the paper analysis and figure prep once, then write the article twice, once per language. When a paper2assets package exists, use it as that shared source of truth so blog, poster, slides, and video agree on the same section claims, figures, numbers, and narration scripts. Visual polish is secondary because editors may re-layout the article.

The two versions are not a mirror translation of each other. They report the same facts, figures, numbers, and claims, but each is voiced for its own audience: the _zh version in the restrained, public-account WeChat register; the _en version in a neutral Western research-blog register (see references/editorial-style.md). Write each natively in its language rather than translating sentence-by-sentence.

The default reader is technically curious but not necessarily expert in the paper's subfield. Preserve academic accuracy while making the contribution understandable and worth reading.

Work autonomously. Read the paper, make the editorial judgment calls yourself, and deliver two finished drafts — don't stop to ask the user to confirm the hook, structure, figures, captions, or titles. The only thing you never guess is a checkable hard fact (paper/code link, DOI, affiliation, acceptance status): if it isn't in the inputs, omit it rather than inventing one. Everything else, decide and move on.

Output Contract

Follow the shared paper2assets v2 layout. The paper2blog bundle top level holds only deliverable files plus manifest.json; dependencies and build artifacts live under a single assets/ container:

Read the full file on GitHub · 238 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. 2mo ago First seen · 238 lines · 109 tokens per session scan A bc70d284295f

Subscribe to this mod's changes

paper2blog is a skill published in the GitHub repository microsoft/ResearchStudio (3,549 stars, last pushed 1mo ago), licensed MIT. It adds 109 tokens to every session and 4,506 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.

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