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 agentmods add skills/microsoft/researchstudio/paper2blognpx skills add microsoft/ResearchStudio --skill paper2bloggit clone --depth 1 https://github.com/microsoft/ResearchStudioWhat 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 | $0.00109 | $0.04506 |
| Opus 5 | $0.00055 | $0.02253 |
| Sonnet 5 | $0.00022 | $0.00901 |
| Haiku 4.5 | $0.00011 | $0.00451 |
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 3d 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 — 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:
What ships with it
12 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 236 B
- README.md 4.5 KB
- references/case-study-acl2026.md 2.8 KB
- references/editorial-style.md 6.7 KB
- references/image-guidelines.md 8.6 KB
- references/output-contract.md 6.3 KB
- references/review-checklist.md 4.4 KB
- requirements.txt 291 B
- scripts/build_wechat_docx.py 13 KB runs code
- scripts/check_blog_package.py 39 KB runs code
- scripts/crop_figure.py 15 KB runs code
- scripts/extract_pdf.py 38 KB runs code
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.
- 3d ago First seen · 238 lines · 109 tokens per session scan A bc70d284295f
paper2blog is a skill published in the GitHub repository microsoft/ResearchStudio (2,614 stars, last pushed 4d ago), licensed MIT. It adds 109 tokens to every session and 4,506 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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