Academic Press Release Writing

v1.0.0

学术新闻稿撰写专业工具。包含规范的五段式写作结构、全流程工作步骤、常见问题解决方案和效率提升技巧。**当以下情况时使用此 Skill**:(1) 需要撰写学术机构、科研团队的新闻通稿/宣传稿;(2) 需要将学术论文、科研成果转化为面向公众的科普性新闻稿;(3) 用户提到"学术新闻稿"、"科研宣传稿"、"论文新闻稿...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
Purpose & Capability
Name/description (academic press‑release writing) match the included SKILL.md, checklist, and template. The detailed requirements (five‑paragraph structure, image extraction from paper PDFs, Markdown + Word outputs) are aligned with the stated purpose.
Instruction Scope
Instructions are specific and stay within the stated purpose, including a precise Python example to extract figures and an automated workflow to produce Markdown and a .docx. Two points to note: (1) the SKILL.md references running 'python scripts/extract_figures.py' but the repository does not include that script — the agent would need to create or obtain it; (2) the skill expects the agent to read user‑supplied PDF files and write Word/Markdown files (which is expected for this purpose). There are no instructions to read unrelated system files or to transmit data to external endpoints.
Install Mechanism
This is an instruction‑only skill with no install spec (lowest install risk). However, the provided extraction code relies on the PyMuPDF 'fitz' library and an external script name; those dependencies are not declared or bundled, so the agent would need the Python environment and packages available or to install them at runtime.
Credentials
No environment variables, credentials, or config paths are required. The skill does not request unrelated secrets or broad credential access; it only operates on user-provided material (PDFs) and produces local output files.
Persistence & Privilege
The skill does not request 'always: true' or other elevated persistence. It does instruct writing local files (Markdown/.docx) and extracting images, which is appropriate for its stated purpose and scoped to its own outputs.
Assessment
This skill appears coherent and focused on turning academic papers into press releases and extracting figures from PDFs. Before installing or running it, consider: (1) The SKILL.md assumes you can run Python code and the PyMuPDF (fitz) library and refers to a script ('scripts/extract_figures.py') that is not included — confirm whether your environment already has these or whether the agent will attempt to download/install code. (2) The skill reads user‑supplied PDFs and writes Markdown/.docx files and extracted images — avoid using unpublished or confidential PDFs unless you trust the execution environment. (3) Verify any automated actions (creating files, running scripts) with the agent before allowing them, and confirm that no extracted images are uploaded externally. (4) If you want stricter control, require the skill to run only when explicitly invoked (disable autonomous invocation) or ask the skill author for the missing extraction script and a declared dependency list (e.g., PyMuPDF) before use.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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