원클릭으로
paper-repo
找论文的代码仓库。 当用户问"代码在哪"、"有没有实现"、"帮我找 repo"、 "官方代码"、"复现"、"复现代码"、"开源实现"、 "开源代码"、"GitHub 地址"时触发。 验证仓库真实性后自动 clone。
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
找论文的代码仓库。 当用户问"代码在哪"、"有没有实现"、"帮我找 repo"、 "官方代码"、"复现"、"复现代码"、"开源实现"、 "开源代码"、"GitHub 地址"时触发。 验证仓库真实性后自动 clone。
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
一键导入论文:从标题/DOI/链接/模糊描述开始,自动走完 resolve → acquire → repo 管线。 当用户说"导入这篇论文"、"帮我把这篇论文弄下来"、"下载这篇论文"、 "把这篇论文弄到本地"、"帮我搞定这篇论文"时触发。 覆盖从搜索到下载到找代码的全流程。如果用户只需要搜索/确认论文身份, 不需要下载,应使用 paper-search skill。 三步默认全部执行:确定论文 → 获取 PDF+markdown → 找代码仓库。 用 --no-acquire 跳过下载,--no-repo 跳过代码搜索。
搜索论文并解析论文身份,生成结构化 metadata.yaml。 当用户要搜论文、找文献、确认论文身份(标题/DOI/arXiv ID/URL)、 查论文信息、做论文 metadata 时触发。 不负责下载 PDF 或转 markdown(那是 paper-acquire 的工作)。 覆盖 20+ 学术源(arXiv、PubMed、Semantic Scholar、Crossref、OpenAlex、DBLP、Unpaywall 等)。 如果用户想要"导入论文"(全流程),应使用 paper-import skill。 如果用户只要"下载论文"或"获取 PDF",应使用 paper-acquire skill。
获取论文原文:下载 PDF 并转成结构化 markdown。 当用户要求下载论文、获取 PDF、把论文转成 markdown 时触发。 也作为 paper-search 的下游自动步骤——确定了论文身份后自动获取原文。
PDF 转高质量 markdown,支持公式、表格、混合排版。 当用户要求 PDF 转 markdown、提取论文文本、OCR 提取时触发。 注意:paper-acquire 内部会调用它,不需要单独触发。
把一篇论文拆解成结构化研究卡片。 当用户说"做个卡片"、"写阅读笔记"、"总结这篇论文"、 "帮我读一下"、"结构化分析"、"拆解论文"时触发。 输出 card.md(快速概览)和 card-deep.md(深度分析)。
| name | paper-repo |
| description | 找论文的代码仓库。 当用户问"代码在哪"、"有没有实现"、"帮我找 repo"、 "官方代码"、"复现"、"复现代码"、"开源实现"、 "开源代码"、"GitHub 地址"时触发。 验证仓库真实性后自动 clone。 |
| argument-hint | <folder_slug> | <metadata_path> |
Discover implementation repository for a paper.
This skill owns:
metadata.yaml → repo_search sectionrepo/ → cloned repository (when confidence is high/medium)This skill does not:
identity or bibliography sectionsStep 1: Extract clues from paper content (scripts)
→ PDF metadata URLs
→ paper.md code links + context
→ Output: candidate URLs with evidence
Step 2: Search GitHub if needed (web-kit)
→ ask-search "{title} site:github.com" -e google -n 10
→ ask-search "{method_name} github" -e google -n 10
→ Add search results to candidates
Step 3: Verify candidates (web-kit)
→ crwlr crawl -o md "{repo_url}"
→ Judge: official vs reimplementation, author match, code-paper alignment
Step 4: Select best candidate and clone (if confidence >= medium)
→ git clone {repo_url} repo/
→ Update cloned_to in metadata.yaml
Step 5: Write repo_search to metadata.yaml
→ selected: best candidate with confidence
→ candidates: all found with sources
Read from:
$PAPERS_DIR/{folder_slug}/metadata.yaml
bibliography.authors — for author verificationbibliography.venue — for contextidentity.aliases.doi — for citation matching$PAPERS_DIR/{folder_slug}/paper/paper.pdf$PAPERS_DIR/{folder_slug}/paper/paper.mdWrite to metadata.yaml:
repo_search:
selected:
url: "https://github.com/owner/repo"
confidence: "high" # high / medium / low / none
source: "paper_md" # paper_pdf / paper_md / github_search
evidence:
- "README cites the paper DOI: 10.xxx"
- "Author names match: Hongbin Pei"
type: "official" # official / community / reimplementation
cloned_to: "repo/" # filled after git clone
candidates:
- url: "https://github.com/owner/repo"
source: "paper_md"
confidence: "high"
context: "Code availability section mentions this URL"
- url: "https://github.com/other/repo"
source: "github_search"
confidence: "low"
context: "Name similarity only"
Auto-clone when:
confidence is high or mediumDo not clone when:
confidence is low or none--no-clone flag# Clone command (use Bash tool, not PowerShell)
cd $PAPERS_DIR/{folder_slug}
git clone {repo_url} repo/
Windows / NTFS: Some repos contain paths with characters invalid on NTFS (e.g.
:in timestamps). Ifgit clonecheckout fails with path errors: download the repo as a zip archive instead, do not extract it. Record in metadata.yaml:cloned_to: "repo.zip" clone_note: "Archive only — contains NTFS-incompatible paths"
After cloning, update cloned_to field in metadata.yaml.
Extract URLs from PDF metadata and annotations.
uv run --script "${SKILL_DIR}/scripts/extract_urls_from_pdf.py" $PAPERS_DIR/{folder_slug}/paper/paper.pdf
Output: JSON list of URLs found in PDF with source annotation.
Extract code-related links from paper.md with surrounding context.
uv run --script "${SKILL_DIR}/scripts/extract_code_links_from_md.py" $PAPERS_DIR/{folder_slug}/paper/paper.md
Output: JSON list of code links with context lines.
| Criterion | How to check |
|---|---|
| DOI citation | README or repo description contains paper DOI |
| Author match | GitHub owner name matches one of bibliography.authors |
| Method name | Repo name contains the method name from title |
| Paper link | README links to arXiv/publisher URL from urls.canonical |
| Code alignment | Repo implements the core algorithm described in paper |
| Level | Criteria |
|---|---|
high | DOI citation + author match + official implementation stated |
medium | Repo matches method name + README mentions paper, but no author match |
low | Only name similarity, no explicit paper connection |
none | No candidate found or clearly unrelated |
Priority order:
paper.md → Code availability section, footnote linkspaper.pdf → PDF metadata URLs, annotation linksPaper often explicitly states: "Code is available at https://github.com/..."
When paper content has no explicit link:
# Search by paper title + github
ask-search "{paper_title} github" -e google -n 10
# Search by method name (if identifiable)
ask-search "{method_name} github" -e google -n 10
# Direct GitHub search via site:
ask-search "site:github.com {method_name}" -e google -n 10
If GitHub search yields no high-confidence result, try general search (code may be on author homepage, project page, or as ZIP download):
ask-search "{paper_title} code download" -e google -n 5
ask-search "{first_author} {method_name} code" -e google -n 5
For each candidate URL:
${SKILL_DIR}/../web-kit/scripts/crwlr crawl -o md "{repo_url}"
Look for:
This skill runs after paper-acquire.
Use paper-import for end-to-end workflow including repo discovery.
| File | When to read |
|---|---|
| repo-verification.md | Need detailed verification criteria |