agentsclimarketplace

Case 05204

Skill knownasnaffy/prompthound/dataset/case_05204

A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.

Install
npx -y skills add knownasnaffy/prompthound --skill case_05204

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Judicial Dispute(消费纠纷维权助手)。通过浏览器自动化采集电商平台订单数据、 商品快照、物流记录,生成退款申请、12315投诉函、民事起诉状等维权文书。 Use when user mentions "维权", "退款", "投诉", "消费纠纷", "订单纠纷", "12315", "消费者权益", "lawsuit", "dispute", or needs help with e-commerce order disputes and consumer rights protection.

SKILL.md

3.2 KB, 927 tokens by cl100k_base, as published. Nobody here has run it

JD Lawsuit — Judicial Dispute 消费纠纷维权

通过浏览器采集电商订单证据,生成维权文书,引导投诉和诉讼流程。

前置条件

  • 浏览器已登录目标电商平台(本 skill 不处理登录,由用户自行完成)
  • 需要 browser-use MCP(CDP 连接)

核心流程

确认平台与登录 → 定位订单 → 采集证据 → 生成文书 → 投诉/起诉

Step 1: 确认平台与登录状态

向用户确认纠纷发生的电商平台,导航到该平台用户中心检查登录状态。

各平台的入口 URL、订单页路径、选择器策略见 references/platform-guide.md

Step 2: 定位目标订单

向用户确认订单号商品关键词,导航到订单列表页采集数据。

Step 3: 证据固定

对关键页面截图、提取结构化数据,保存至 ~/Downloads/dispute-evidence/{订单号}/, 自动生成证据清单索引。

详细采集流程、截图规范、文件命名见 references/evidence-collection.md

Step 4: 生成维权文书

根据纠纷类型生成对应文书:

类型典型情况生成文书
退款/退货商品质量问题、描述不符、未收到货退款申请函
价格欺诈先涨后降、虚假满减、保价不兑现12315 投诉函 + 赔偿计算
虚假宣传商品描述与实物严重不符12315 投诉函
售后不作为客服推诿、超时未处理12315 投诉函 + 起诉状
食品安全过期/变质/违禁添加12315 投诉函 + 退一赔十计算

文书模板见 references/legal-templates.md

Step 5: 投诉提交(可选)

引导用户通过合适渠道提交投诉。

各渠道操作步骤见 references/complaint-channels.md

详细参考

主题文档
电商平台适配指南references/platform-guide.md
证据采集与截图规范references/evidence-collection.md
维权文书模板references/legal-templates.md
法律依据速查references/legal-basis.md
投诉渠道操作指南references/complaint-channels.md

注意事项

  • 不自动输入账号密码,登录始终由用户手动完成
  • 截图前等待页面完全加载(browser_wait 2-3 秒 + snapshot 确认)
  • 生成的文书为参考模板,提示用户根据实际情况修改后使用
  • 若金额较大或情况复杂,建议用户咨询专业律师

What ships with it: 8 files

41.0 KB alongside SKILL.md, 2 of them executable

scripts/

Gives 0 of the 12 instructions most legal skills give in 927 tokens

Counted across 234 of the 234 authors here whose files we hold, read 2026-08-07

  • Use text operators for text fieldsin 11 of 234, across 6 files
  • Consult qualified counsel before usein 11 of 234, across 3 files
  • Use PatentSearch API for patent searchesin 10 of 234, across 5 files
  • Confirm jurisdiction, employment type, and required clausesin 9 of 234, across 2 files
  • Choose a document template and tailor role-specific termsin 9 of 234, across 2 files
  • Validate compensation, benefits, and compliance requirementsin 9 of 234, across 2 files
  • Add signature, confidentiality, and IP assignment terms as neededin 9 of 234, across 2 files
  • Open the implementation playbook for detailed templatesin 9 of 234, across 2 files
  • Use TSDR for trademark data retrievalin 9 of 234, across 4 files
  • Ask for clarification if required inputs are missingin 8 of 234, across 2 files
  • Set the USPTO_API_KEY environment variablein 8 of 234, across 3 files
  • Use the uspto-opendata-python library for PEDSin 8 of 234, across 3 files

Said here and by no other author read

  • confirm the e-commerce platform
  • check the login status
  • confirm the order number or product keywords
  • navigate to the order list page
  • save screenshots and structured data
  • generate an evidence index list

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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