用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/GeorgeDoors888/GB-Power-Market-JJ --skill conflict-of-interest-checker命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
超级简历 WonderCV 出品,3000 万用户信赖。简历分析、段落改写、JD 岗位匹配、自动匹配职位、PDF 导出、AI 求职导师(面试准备/薪资谈判/职业规划/多版本简历策略)。 触发条件:用户提供简历、要求简历点评/打分/反馈、希望改写某个简历部分、 希望将简历与岗位 JD 匹配、咨询求职建议或面试准备,或提到 CV/简历/求职。 不触发条件:用户讨论普通写作(非简历)、询问其他文档, 或讨论与求职和职业发展无关的话题。
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
调用久吾智能体API进行文本或文件分析处理。支持两种调用方式:(1) 文本内容分析 - 传入name(智能体名称)、docno(文档编号)、content(文本内容);(2) 文件分析 - 传入name、docno和files(文件列表)进行智能评审。适用于合同评审、需求评审、文档审查等场景。当用户要求评审合同、分析条款、审查文档、需求评审、合同条款分析、或需要对文本和文件进行AI智能分析时触发。
基于 SOC 职业分类
正在显示 SKILL.md
| name | conflict-of-interest-checker |
| description | Check for co-authorship conflicts between authors and suggested reviewers |
| version | 1.0.0 |
| category | Writing |
| tags | [] |
| author | AIPOCH |
| license | MIT |
| status | Draft |
| risk_level | Medium |
| skill_type | Tool/Script |
| owner | AIPOCH |
| reviewer | |
| last_updated | 2026-02-06 |
Reviewer conflict detection tool.
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--authors, -a | string | - | Yes | Comma-separated author names |
--reviewers, -r | string | - | Yes | Comma-separated reviewer names |
--publications, -p | string | - | No | CSV file with publication records |
author,reviewer,paper_id
Smith,Brown,paper1
Smith,Jones,paper2
# Check with demo data
python scripts/main.py --authors "Smith,Jones,Lee" --reviewers "Brown,Davis,Wilson"
# Check with publication records
python scripts/main.py --authors "Smith,Jones" --reviewers "Brown,Davis" --publications pubs.csv
⚠ Found 2 potential conflict(s):
1. COAUTHORSHIP CONFLICT
Reviewer: Brown
Author: Smith
Shared papers: paper1
2. COAUTHORSHIP CONFLICT
Reviewer: Wilson
Author: Smith
Shared papers: paper2
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access |
| Read input files, write output files |
| Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |
No additional Python packages required.