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sci-figure科幻人物

Agent Skill

sci-figure 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

480

周安装

20

GitHub Stars

33

下载量

160
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sci-figure(科幻人物)
来源仓库:https://github.com/shzhao27208/aut_sci_write
仓库路径:skills/sci-figure
安装命令:
npx skills add https://github.com/shzhao27208/aut_sci_write --skill sci-figure
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/shzhao27208/aut_sci_write --skill sci-figure

简介

sci-figure 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定仓库安装并使用该技能。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 可结合来源仓库和原始 README 进一步核验具体用法和功能边界。

SKILL.md

Sci-Figure — Scientific Figure Extractor

Precisely extract figures and sub-figures from academic PDF papers.

Script Directory

Scripts in scripts/ subdirectory. Replace ${SKILL_DIR} with this SKILL.md's directory path.

ScriptPurpose
scripts/extract_figure.pyMain CLI for figure extraction

Preferences (EXTEND.md)

Use Bash to check EXTEND.md existence (priority order):

# Check project-level first
test -f .baoyu-skills/Sh_Sci_Fig/EXTEND.md && echo "project"

# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.baoyu-skills/Sh_Sci_Fig/EXTEND.md" && echo "user"

EXTEND.md Supports: Default DPI | Default output format | Tesseract path

Usage

python ${SKILL_DIR}/scripts/extract_figure.py <input.pdf> [options]

Options

OptionShortDescriptionDefault
<input>PDF file pathRequired
--figure-fFigure number (1, 2, 3...)Required (except --list/--all)
--subfigure-sSub-figure label (a, b, c...)None (returns whole figure)
--output-oOutput directoryCurrent directory
--dpi-dOutput resolution600
--list-lList all available figure numbersfalse
--allExtract all figuresfalse
--formatOutput formatpng

Examples

# Extract Figure 2, sub-figure c
python ${SKILL_DIR}/scripts/extract_figure.py paper.pdf -f 2 -s c

# Extract entire Figure 3
python ${SKILL_DIR}/scripts/extract_figure.py paper.pdf -f 3

# List all available figures in a PDF
python ${SKILL_DIR}/scripts/extract_figure.py paper.pdf --list

# Extract all figures
python ${SKILL_DIR}/scripts/extract_figure.py paper.pdf --all

# Custom output directory and DPI
python ${SKILL_DIR}/scripts/extract_figure.py paper.pdf -f 2 -s c -o ./output/ -d 300

Output:

Extracted: figure_2c.png (1920x1080, 600 DPI)

Error Handling

ScenarioBehavior
Figure number not foundError + list all available figure numbers
OCR recognition failedReturn entire figure region
Sub-figure split failedReturn entire figure region
No sub-figure labels foundReturn entire figure region

Tech Stack

LibraryRole
pdfplumberText + coordinate extraction (locate "Figure X" labels)
PyMuPDF (fitz)PDF → high-quality image rendering (600 DPI)
opencv-pythonBoundary detection, contour analysis
PillowFinal cropping, format conversion
pytesseractOCR for sub-figure label recognition

Detected Figure Fields

FieldTypeDescription
numberintFigure number
pageintPage index (0-based)
bboxtupleCrop region in pixels
bbox_pdftupleCrop region in PDF points
captionstrCaption text (truncated to 200 chars)
caption_fullstrFull caption text (no truncation)
caption_bbox_pdftupleCaption bounding box in PDF points
sublabelslist[str]Sub-figure labels, e.g. ["a","b","c"]
sublabel_detailslist[dict]Labels with detected format, e.g. {"label":"a","format":"(a)"}
figure_typestrOne of: figure, scheme, chart, supplementary, extended_data
is_supplementaryboolTrue for supplementary and extended_data types
imagendarrayCropped figure image (numpy array)

Extension Support

Custom configurations via EXTEND.md. See Preferences section for paths and supported options.


© License & Copyright

Aut_Sci_Write — Autonomous Scientific Writer

  • Author: Shuo Zhao
  • License: MIT License
  • Copyright: © 2026 Shuo Zhao. All rights reserved.
  • Original Work: This is an original work created by the author. No reproduction, redistribution, or commercial use without explicit permission. Permission is hereby granted, free of charge, to any person obtaining a copy of this software... (See the LICENSE file in the root directory for the full MIT terms.)

*This skill is part of the Aut_Sci_Write suite. For full license terms, see the LICENSE file in the project root.*

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.45%
按下载量换算55

Claude

33.47%
按下载量换算54

Cursor

17.47%
按下载量换算28

Gemini CLI

9.21%
按下载量换算15

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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