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小红书评论分析
作者
allinherog-star
· GitHub ↗
· v1.0.0
· MIT-0
93
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当前安装
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版本数
在 OpenClaw 中安装
/install xhs-sentiment-dashboard
功能描述
使用此技能分析小红书笔记评论区的情感倾向和用户态度。提供情感分类、正负面评论占比、情绪关键词提取和舆情洞察。当用户发送小红书笔记链接或 note ID 并要求分析评论区时使用。此技能不提供笔记内容下载或抓取。
安全使用建议
Before installing or enabling this skill: (1) Understand that when you provide a Xiaohongshu note link the skill will send that link (and any parameters) to ai-skills.ai for analysis — verify you trust that third party and their privacy policy. (2) The skill requires an AISKILLS_API_KEY (revocable) even though registry metadata omitted it; only use a key you can revoke and monitor usage. (3) The provided one‑line script assumes curl, jq and a shell are available — confirm those tools are present or adapt the commands. (4) Avoid sending sensitive or private links as comments can contain PII; test first with non-sensitive data. (5) Prefer skills whose registry metadata accurately lists required env vars and binaries; consider asking the publisher to correct the manifest before use.
功能分析
Type: OpenClaw Skill
Name: xhs-sentiment-dashboard
Version: 1.0.0
The skill contains a shell injection vulnerability in the 'One-click script' section of SKILL.md, where the user-provided $LINK variable is passed directly into a bash command without sanitization. It also requires the AISKILLS_API_KEY environment variable and sends user data (links and API keys) to a third-party domain (ai-skills.ai). While the behavior is aligned with the stated purpose of sentiment analysis, the insecure script construction and external data transmission pose a risk to the user's environment and data privacy.
能力评估
Purpose & Capability
The skill's claimed purpose (sentiment analysis of Xiaohongshu comments) matches the runtime behavior: it delegates analysis to ai-skills.ai. However the registry metadata (required env vars: none; required binaries: none) contradicts SKILL.md which requires AISKILLS_API_KEY and assumes curl/jq. This mismatch is unexpected and should be fixed or explained.
Instruction Scope
SKILL.md explicitly instructs the agent to POST the user-provided note link/contentId and to include X-API-Key to https://ai-skills.ai. That means user-provided links (and likely comment data fetched by the third party) are transmitted off-device. The skill text claims it "does not provide note content download or scraping," but because the instructions send links to a third party that will perform analysis/fetching, users may be surprised about who actually accesses the content. The script also assumes availability of curl, jq and a POSIX shell, but the manifest declared no required binaries.
Install Mechanism
Instruction-only skill with no install spec or code files — minimal local install risk. Nothing is written to disk by the skill package itself.
Credentials
SKILL.md declares a required AISKILLS_API_KEY and documents that the key will be sent to ai-skills.ai, but the published registry metadata lists no required env vars. This omission is disproportionate and misleading. Also the skill requests an API key (sensible for a third-party service) but users should be aware that the key will authenticate requests that include user-supplied links.
Persistence & Privilege
always is false and the skill is user-invocable only; it does not request persistent presence or modify other skills or system settings.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install xhs-sentiment-dashboard - 安装完成后,直接呼叫该 Skill 的名称或使用
/xhs-sentiment-dashboard触发 - 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
v1.0.0
xhs-sentiment-dashboard 1.0.0 初始发布版
- 支持对小红书笔记评论区进行情感分析,识别正面、负面及中性评论比例。
- 提取评论区高频关键词和主导情绪,生成结构化舆情洞察报告。
- 支持通过笔记链接或 note ID 分析评论,API Key 经认证后完成任务。
- 明确提示数据会发送至 ai-skills.ai,强调数据安全与配额限制。
- 提供 Bash 一键分析脚本及接口调用流程说明。
元数据
常见问题
小红书评论分析 是什么?
使用此技能分析小红书笔记评论区的情感倾向和用户态度。提供情感分类、正负面评论占比、情绪关键词提取和舆情洞察。当用户发送小红书笔记链接或 note ID 并要求分析评论区时使用。此技能不提供笔记内容下载或抓取。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 93 次。
如何安装 小红书评论分析?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xhs-sentiment-dashboard」即可一键安装,无需额外配置。
小红书评论分析 是免费的吗?
是的,小红书评论分析 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
小红书评论分析 支持哪些平台?
小红书评论分析 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 小红书评论分析?
由 allinherog-star(@allinherog-star)开发并维护,当前版本 v1.0.0。
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