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Agent Skill · 研究检索

peer-review(同行评审)

peer-review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

peer-review 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 73,139。

总安装 166周安装 17GitHub Stars 3下载 140核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:peer-review(同行评审)
来源仓库:https://github.com/drshailesh88/integrated_content_os
仓库路径:skills/peer-review
安装命令:
npx skills add https://github.com/drshailesh88/integrated_content_os --skill peer-review
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/drshailesh88/integrated_content_os --skill peer-review

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

peer-review 提供学术论文、技术方案与代码变更的同行评审流程支持。适用于确保逻辑严谨性、引用准确性与创新点突出度。可生成评审清单与反馈模板,结构化呈现优缺点列表。评审意见应聚焦内容本身,避免主观偏好影响专业判断。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/peer-review

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/drshailesh88/integrated_content_os --skill pee…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

peer-review 怎么安装?

在终端执行 npx skills add https://github.com/drshailesh88/integrated_content_os --skill peer-review。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

peer-review 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

peer-review 需要什么权限?

权限级别是只读。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。

peer-review 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

peer-review 用的人多吗?

公开数据是累计安装 166 次,近一周安装 17 次,下载 140 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

peer-review 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
peer-review

同行评审 · 本页

1663只读MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Scientific Critical Evaluation and Peer Review

Overview

Peer review is a systematic process for evaluating scientific manuscripts. Assess methodology, statistics, design, reproducibility, ethics, and reporting standards. Apply this skill for manuscript and grant review across disciplines with constructive, rigorous evaluation.

When to Use This Skill

This skill should be used when:

  • Conducting peer review of scientific manuscripts for journals
  • Evaluating grant proposals and research applications
  • Assessing methodology and experimental design rigor
  • Reviewing statistical analyses and reporting standards
  • Evaluating reproducibility and data availability
  • Checking compliance with reporting guidelines (CONSORT, STROBE, PRISMA)
  • Providing constructive feedback on scientific writing

Visual Enhancement with Scientific Schematics

When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.

If your document does not already contain schematics or diagrams:

  • Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
  • Simply describe your desired diagram in natural language
  • Nano Banana Pro will automatically generate, review, and refine the schematic

For new documents: Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text.

How to generate schematics:

python scripts/generate_schematic.py "your diagram description" -o figures/output.png

The AI will automatically:

  • Create publication-quality images with proper formatting
  • Review and refine through multiple iterations
  • Ensure accessibility (colorblind-friendly, high contrast)
  • Save outputs in the figures/ directory

When to add schematics:

  • Peer review workflow diagrams
  • Evaluation criteria decision trees
  • Review process flowcharts
  • Methodology assessment frameworks
  • Quality assessment visualizations
  • Reporting guidelines compliance diagrams
  • Any complex concept that benefits from visualization

For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.


Peer Review Workflow

Conduct peer review systematically through the following stages, adapting depth and focus based on the manuscript type and discipline.

Stage 1: Initial Assessment

Begin with a high-level evaluation to determine the manuscript's scope, novelty, and overall quality.

Key Questions:

  • What is the central research question or hypothesis?
  • What are the main findings and conclusions?
  • Is the work scientifically sound and significant?
  • Is the work appropriate for the intended venue?
  • Are there any immediate major flaws that would preclude publication?

Output: Brief summary (2-3 sentences) capturing the manuscript's essence and initial impression.

Stage 2: Detailed Section-by-Section Review

Conduct a thorough evaluation of each manuscript section, documenting specific concerns and strengths.

Abstract and Title
  • Accuracy: Does the abstract accurately reflect the study's content and conclusions?
  • Clarity: Is the title specific, accurate, and informative?
  • Completeness: Are key findings and methods summarized appropriately?
  • Accessibility: Is the abstract comprehensible to a broad scientific audience?
Introduction
  • Context: Is the background information adequate and current?
  • Rationale: Is the research question clearly motivated and justified?
  • Novelty: Is the work's originality and significance clearly articulated?
  • Literature: Are relevant prior studies appropriately cited?
  • Objectives: Are research aims/hypotheses clearly stated?
Methods
  • Reproducibility: Can another researcher replicate the study from the description provided?
  • Rigor: Are the methods appropriate for addressing the research questions?
  • Detail: Are protocols, reagents, equipment, and parameters sufficiently described?
  • Ethics: Are ethical approvals, consent, and data handling properly documented?
  • Statistics: Are statistical methods appropriate, clearly described, and justified?
  • Validation: Are controls, replicates, and validation approaches adequate?

Critical elements to verify:

  • Sample sizes and power calculations
  • Randomization and blinding procedures
  • Inclusion/exclusion criteria
  • Data collection protocols
  • Computational methods and software versions
  • Statistical tests and correction for multiple comparisons
Results
  • Presentation: Are results presented logically and clearly?
  • Figures/Tables: Are visualizations appropriate, clear, and properly labeled?
  • Statistics: Are statistical results properly reported (effect sizes, confidence intervals, p-values)?
  • Objectivity: Are results presented without over-interpretation?
  • Completeness: Are all relevant results included, including negative results?
  • Reproducibility: Are raw data or summary statistics provided?

Common issues to identify:

  • Selective reporting of results
  • Inappropriate statistical tests
  • Missing error bars or measures of variability
  • Over-fitting or circular analysis
  • Batch effects or confounding variables
  • Missing controls or validation experiments
Discussion
  • Interpretation: Are conclusions supported by the data?
  • Limitations: Are study limitations acknowledged and discussed?
  • Context: Are findings placed appropriately within existing literature?
  • Speculation: Is speculation clearly distinguished from data-supported conclusions?
  • Significance: Are implications and importance clearly articulated?
  • Future directions: Are next steps or unanswered questions discussed?

Red flags:

  • Overstated conclusions
  • Ignoring contradictory evidence
  • Causal claims from correlational data
  • Inadequate discussion of limitations
  • Mechanistic claims without mechanistic evidence
References
  • Completeness: Are key relevant papers cited?
  • Currency: Are recent important studies included?
  • Balance: Are contrary viewpoints appropriately cited?
  • Accuracy: Are citations accurate and appropriate?
  • Self-citation: Is there excessive or inappropriate self-citation?

Stage 3: Methodological and Statistical Rigor

Evaluate the technical quality and rigor of the research with particular attention to common pitfalls.

Statistical Assessment:

  • Are statistical assumptions met (normality, independence, homoscedasticity)?
  • Are effect sizes reported alongside p-values?
  • Is multiple testing correction applied appropriately?
  • Are confidence intervals provided?
  • Is sample size justified with power analysis?
  • Are parametric vs. non-parametric tests chosen appropriately?
  • Are missing data handled properly?
  • Are exploratory vs. confirmatory analyses distinguished?

Experimental Design:

  • Are controls appropriate and adequate?
  • Is replication sufficient (biological and technical)?
  • Are potential confounders identified and controlled?
  • Is randomization properly implemented?
  • Are blinding procedures adequate?
  • Is the experimental design optimal for the research question?

Computational/Bioinformatics:

  • Are computational methods clearly described and justified?
  • Are software versions and parameters documented?
  • Is code made available for reproducibility?
  • Are algorithms and models validated appropriately?
  • Are assumptions of computational methods met?
  • Is batch correction applied appropriately?

Stage 4: Reproducibility and Transparency

Assess whether the research meets modern standards for reproducibility and open science.

Data Availability:

  • Are raw data deposited in appropriate repositories?
  • Are accession numbers provided for public databases?
  • Are data sharing restrictions justified (e.g., patient privacy)?
  • Are data formats standard and accessible?

Code and Materials:

  • Is analysis code made available (GitHub, Zenodo, etc.)?
  • Are unique materials available or described sufficiently for recreation?
  • Are protocols detailed in sufficient depth?

Reporting Standards:

  • Does the manuscript follow discipline-specific reporting guidelines (CONSORT, PRISMA, ARRIVE, MIAME, MINSEQE, etc.)?
  • See references/reporting_standards.md for common guidelines
  • Are all elements of the appropriate checklist addressed?

Stage 5: Figure and Data Presentation

Evaluate the quality, clarity, and integrity of data visualization.

Quality Checks:

  • Are figures high resolution and clearly labeled?
  • Are axes properly labeled with units?
  • Are error bars defined (SD, SEM, CI)?
  • Are statistical significance indicators explained?
  • Are color schemes appropriate and accessible (colorblind-friendly)?
  • Are scale bars included for images?
  • Is data visualization appropriate for the data type?

Integrity Checks:

  • Are there signs of image manipulation (duplications, splicing)?
  • Are Western blots and gels appropriately presented?
  • Are representative images truly representative?
  • Are all conditions shown (no selective presentation)?

Clarity:

  • Can figures stand alone with their legends?
  • Is the message of each figure immediately clear?
  • Are there redundant figures or panels?
  • Would data be better presented as tables or figures?

Stage 6: Ethical Considerations

Verify that the research meets ethical standards and guidelines.

Human Subjects:

  • Is IRB/ethics approval documented?
  • Is informed consent described?
  • Are vulnerable populations appropriately protected?
  • Is patient privacy adequately protected?
  • Are potential conflicts of interest disclosed?

Animal Research:

  • Is IACUC or equivalent approval documented?
  • Are procedures humane and justified?
  • Are the 3Rs (replacement, reduction, refinement) considered?
  • Are euthanasia methods appropriate?

Research Integrity:

  • Are there concerns about data fabrication or falsification?
  • Is authorship appropriate and justified?
  • Are competing interests disclosed?
  • Is funding source disclosed?
  • Are there concerns about plagiarism or duplicate publication?

Stage 7: Writing Quality and Clarity

Assess the manuscript's clarity, organization, and accessibility.

Structure and Organization:

  • Is the manuscript logically organized?
  • Do sections flow coherently?
  • Are transitions between ideas clear?
  • Is the narrative compelling and clear?

Writing Quality:

  • Is the language clear, precise, and concise?
  • Are jargon and acronyms minimized and defined?
  • Is grammar and spelling correct?
  • Are sentences unnecessarily complex?
  • Is the passive voice overused?

Accessibility:

  • Can a non-specialist understand the main findings?
  • Are technical terms explained?
  • Is the significance clear to a broad audience?

Structuring Peer Review Reports

Organize feedback in a hierarchical structure that prioritizes issues and provides actionable guidance.

Summary Statement

Provide a concise overall assessment (1-2 paragraphs):

  • Brief synopsis of the research
  • Overall recommendation (accept, minor revisions, major revisions, reject)
  • Key strengths (2-3 bullet points)
  • Key weaknesses (2-3 bullet points)
  • Bottom-line assessment of significance and soundness

Major Comments

List critical issues that significantly impact the manuscript's validity, interpretability, or significance. Number these sequentially for easy reference.

Major comments typically include:

  • Fundamental methodological flaws
  • Inappropriate statistical analyses
  • Unsupported or overstated conclusions
  • Missing critical controls or experiments
  • Serious reproducibility concerns
  • Major gaps in literature coverage
  • Ethical concerns

For each major comment:

  1. Clearly state the issue
  2. Explain why it's problematic
  3. Suggest specific solutions or additional experiments
  4. Indicate if addressing it is essential for publication

Minor Comments

List less critical issues that would improve clarity, completeness, or presentation. Number these sequentially.

Minor comments typically include:

  • Unclear figure labels or legends
  • Missing methodological details
  • Typographical or grammatical errors
  • Suggestions for improved data presentation
  • Minor statistical reporting issues
  • Supplementary analyses that would strengthen conclusions
  • Requests for clarification

For each minor comment:

  1. Identify the specific location (section, paragraph, figure)
  2. State the issue clearly
  3. Suggest how to address it

Specific Line-by-Line Comments (Optional)

For manuscripts requiring detailed feedback, provide section-specific or line-by-line comments:

  • Reference specific page/line numbers or sections
  • Note factual errors, unclear statements, or missing citations
  • Suggest specific edits for clarity

Questions for Authors

List specific questions that need clarification:

  • Methodological details that are unclear
  • Seemingly contradictory results
  • Missing information needed to evaluate the work
  • Requests for additional data or analyses

Tone and Approach

Maintain a constructive, professional, and collegial tone throughout the review.

Best Practices:

  • Be constructive: Frame criticism as opportunities for improvement
  • Be specific: Provide concrete examples and actionable suggestions
  • Be balanced: Acknowledge strengths as well as weaknesses
  • Be respectful: Remember that authors have invested significant effort
  • Be objective: Focus on the science, not the scientists
  • Be thorough: Don't overlook issues, but prioritize appropriately
  • Be clear: Avoid ambiguous or vague criticism

Avoid:

  • Personal attacks or dismissive language
  • Sarcasm or condescension
  • Vague criticism without specific examples
  • Requesting unnecessary experiments beyond the scope
  • Demanding adherence to personal preferences vs. best practices
  • Revealing your identity if reviewing is double-blind

Special Considerations by Manuscript Type

Original Research Articles

  • Emphasize rigor, reproducibility, and novelty
  • Assess significance and impact
  • Verify that conclusions are data-driven
  • Check for complete methods and appropriate controls

Reviews and Meta-Analyses

  • Evaluate comprehensiveness of literature coverage
  • Assess search strategy and inclusion/exclusion criteria
  • Verify systematic approach and lack of bias
  • Check for critical analysis vs. mere summarization
  • For meta-analyses, evaluate statistical approach and heterogeneity

Methods Papers

  • Emphasize validation and comparison to existing methods
  • Assess reproducibility and availability of protocols/code
  • Evaluate improvements over existing approaches
  • Check for sufficient detail for implementation

Short Reports/Letters

  • Adapt expectations for brevity
  • Ensure core findings are still rigorous and significant
  • Verify that format is appropriate for findings

Preprints

  • Recognize that these have not undergone formal peer review
  • May be less polished than journal submissions
  • Still apply rigorous standards for scientific validity
  • Consider providing constructive feedback to help authors improve before journal submission

Presentations and Slide Decks

⚠️ CRITICAL: For presentations, NEVER read the PDF directly. ALWAYS convert to images first.

When reviewing scientific presentations (PowerPoint, Beamer, slide decks):

Mandatory Image-Based Review Workflow

NEVER attempt to read presentation PDFs directly - this causes buffer overflow errors and doesn't show visual formatting issues.

Required Process:

  1. Convert PDF to images using Python: python skills/scientific-slides/scripts/pdf_to_images.py presentation.pdf review/slide --dpi 150 # Creates: review/slide-001.jpg, review/slide-002.jpg, etc.
  2. Read and inspect EACH slide image file sequentially
  3. Document issues with specific slide numbers
  4. Provide feedback on visual formatting and content

Print when starting review:

[HH:MM:SS] PEER REVIEW: Presentation detected - converting to images for review
[HH:MM:SS] PDF REVIEW: NEVER reading PDF directly - using image-based inspection
Presentation-Specific Evaluation Criteria

Visual Design and Readability:

  • Text is large enough (minimum 18pt, ideally 24pt+ for body text)
  • High contrast between text and background (4.5:1 minimum, 7:1 preferred)
  • Color scheme is professional and colorblind-accessible
  • Consistent visual design across all slides
  • White space is adequate (not cramped)
  • Fonts are clear and professional

Layout and Formatting (Check EVERY Slide Image):

  • No text overflow or truncation at slide edges
  • No element overlaps (text over images, overlapping shapes)
  • Titles are consistently positioned
  • Content is properly aligned
  • Bullets and text are not cut off
  • Figures fit within slide boundaries
  • Captions and labels are visible and readable

Content Quality:

  • One main idea per slide (not overloaded)
  • Minimal text (3-6 bullets per slide maximum)
  • Bullet points are concise (5-7 words each)
  • Figures are simplified and clear (not copy-pasted from papers)
  • Data visualizations have large, readable labels
  • Citations are present and properly formatted
  • Results/data slides dominate the presentation (40-50% of content)

Structure and Flow:

  • Clear narrative arc (introduction → methods → results → discussion)
  • Logical progression between slides
  • Slide count appropriate for talk duration (~1 slide per minute)
  • Title slide includes authors, affiliation, date
  • Introduction cites relevant background literature (3-5 papers)
  • Discussion cites comparison papers (3-5 papers)
  • Conclusions slide summarizes key findings
  • Acknowledgments/funding slide at end

Scientific Content:

  • Research question clearly stated
  • Methods adequately summarized (not excessive detail)
  • Results presented logically with clear visualizations
  • Statistical significance indicated appropriately
  • Conclusions supported by data shown
  • Limitations acknowledged where appropriate
  • Future directions or broader impact discussed

Common Presentation Issues to Flag:

Critical Issues (Must Fix):

  • Text overflow making content unreadable
  • Font sizes too small (<18pt)
  • Element overlaps obscuring data
  • Insufficient contrast (text hard to read)
  • Figures too complex or illegible
  • No citations (completely unsupported claims)
  • Slide count drastically mismatched to duration

Major Issues (Should Fix):

  • Inconsistent design across slides
  • Too much text (walls of text, not bullets)
  • Poorly simplified figures (axis labels too small)
  • Cramped layout with insufficient white space
  • Missing key structural elements (no conclusion slide)
  • Poor color choices (not colorblind-safe)
  • Minimal results content (<30% of slides)

Minor Issues (Suggestions for Improvement):

  • Could use more visuals/diagrams
  • Some slides slightly text-heavy
  • Minor alignment inconsistencies
  • Could benefit from more white space
  • Additional citations would strengthen claims
  • Color scheme could be more modern
Review Report Format for Presentations

Summary Statement:

  • Overall impression of presentation quality
  • Appropriateness for target audience and duration
  • Key strengths (visual design, content, clarity)
  • Key weaknesses (formatting issues, content gaps)
  • Recommendation (ready to present, minor revisions, major revisions)

Layout and Formatting Issues (By Slide Number):

Slide 3: Text overflow - bullet point 4 extends beyond right margin
Slide 7: Element overlap - figure overlaps with caption text
Slide 12: Font size - axis labels too small to read from distance
Slide 18: Alignment - title not centered

Content and Structure Feedback:

  • Adequacy of background context and citations
  • Clarity of research question and objectives
  • Quality of methods summary
  • Effectiveness of results presentation
  • Strength of conclusions and implications

Design and Accessibility:

  • Overall visual appeal and professionalism
  • Color contrast and readability
  • Colorblind accessibility
  • Consistency across slides

Timing and Scope:

  • Whether slide count matches intended duration
  • Appropriate level of detail for talk type
  • Balance between sections
Example Image-Based Review Process
[14:30:00] PEER REVIEW: Starting review of presentation
[14:30:05] PEER REVIEW: Presentation detected - converting to images
[14:30:10] PDF REVIEW: Running pdf_to_images.py on presentation.pdf
[14:30:15] PDF REVIEW: Converted 25 slides to images in review/ directory
[14:30:20] PDF REVIEW: Inspecting slide 1/25 - title slide
[14:30:25] PDF REVIEW: Inspecting slide 2/25 - introduction
...
[14:35:40] PDF REVIEW: Inspecting slide 25/25 - acknowledgments
[14:35:45] PDF REVIEW: Completed image-based review
[14:35:50] PEER REVIEW: Found 8 layout issues, 3 content issues
[14:35:55] PEER REVIEW: Generating structured feedback by slide number

Remember: For presentations, the visual inspection via images is MANDATORY. Never attempt to read presentation PDFs as text - it will fail and miss all visual formatting issues.

Resources

This skill includes reference materials to support comprehensive peer review:

references/reporting_standards.md

Guidelines for major reporting standards across disciplines (CONSORT, PRISMA, ARRIVE, MIAME, STROBE, etc.) to evaluate completeness of methods and results reporting.

references/common_issues.md

Catalog of frequent methodological and statistical issues encountered in peer review, with guidance on identifying and addressing them.

Final Checklist

Before finalizing the review, verify:

  • Summary statement clearly conveys overall assessment
  • Major concerns are clearly identified and justified
  • Suggested revisions are specific and actionable
  • Minor issues are noted but properly categorized
  • Statistical methods have been evaluated
  • Reproducibility and data availability assessed
  • Ethical considerations verified
  • Figures and tables evaluated for quality and integrity
  • Writing quality assessed
  • Tone is constructive and professional throughout
  • Review is thorough but proportionate to manuscript scope
  • Recommendation is consistent with identified issues

平台分布

Claude Code

30.56%
按下载量换算43

OpenCode

23.47%
按下载量换算33

Antigravity

18.63%
按下载量换算26

Gemini CLI

13.17%
按下载量换算18

windsurf

9.04%
按下载量换算13

Codex

3.72%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

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。

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