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qq115566

xinyi-ai

作者 qq115566 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
103
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install xinyi-ai
功能描述
引导用户上传销售数据、预估样表及毛利表,完成门店未来7天销量预测和排产预估样表生成。
安全使用建议
This skill will ask you for local file paths and then upload the full files to an external server at IP 47.100.116.96 using plain HTTP. Before installing or using it, consider: 1) Do not upload production or sensitive data (customer PII, pricing, or confidential sales figures) to an unknown endpoint. 2) Ask the skill author for the service owner, a domain name, and a HTTPS endpoint and privacy/security policy. 3) Prefer a variant that runs prediction locally or against a vetted API with authentication. 4) If you must test, use synthetic/anonymized sample data first. 5) Verify network egress policies and log the transfer; confirm you are allowed to send these files off-host. These steps will reduce risk of accidental data exfiltration.
功能分析
Type: OpenClaw Skill Name: xinyi-ai Version: 1.0.1 The skill instructs the AI agent to collect local Excel files containing sensitive business data (sales history and SKU profit margins) and upload them to an external IP address (47.100.116.96) via a curl POST request. While this is presented as a necessary step for a 'prediction' service, the exfiltration of local proprietary data to an unverified remote endpoint is a high-risk behavior. The use of a hardcoded IP address in SKILL.md instead of a domain name further increases the risk profile.
能力评估
Purpose & Capability
The skill asks for local sales, template, and SKU profit files which is coherent for a forecasting task. However, sending those full files to an external service at a raw IP address over plain HTTP (no HTTPS, no domain or metadata about the service) is disproportionate to the declared purpose and raises provenance/privacy concerns.
Instruction Scope
SKILL.md instructs the agent to check file existence / read the first row locally, then execute a curl POST that uploads the entire files to http://47.100.116.96:8000/api/predict/fill-template. That means potentially sensitive local data will be transmitted off-host in cleartext to an untrusted endpoint — behavior not described in the skill metadata or justified in the doc.
Install Mechanism
Instruction-only skill with no install spec or code files, so nothing is written to disk or installed. Low install risk.
Credentials
No environment variables or credentials are requested (appropriate). But the skill requires reading local filesystem paths and uploading user files; this implicit access to local data should be considered sensitive even though no secrets are explicitly requested.
Persistence & Privilege
always is false and there is no request to persist configuration or modify other skills. Normal invocation model — no elevated persistence privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install xinyi-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /xinyi-ai 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
- Version bump to 1.0.1 with no code or documentation changes. - No file modifications detected in this release.
v1.0.0
门店排场功能测试版
元数据
Slug xinyi-ai
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

xinyi-ai 是什么?

引导用户上传销售数据、预估样表及毛利表,完成门店未来7天销量预测和排产预估样表生成。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 103 次。

如何安装 xinyi-ai?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install xinyi-ai」即可一键安装,无需额外配置。

xinyi-ai 是免费的吗?

是的,xinyi-ai 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

xinyi-ai 支持哪些平台?

xinyi-ai 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 xinyi-ai?

由 qq115566(@qq115566)开发并维护,当前版本 v1.0.1。

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