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版本数
在 OpenClaw 中安装
/install rednote-research
功能描述
Research a topic through RedNote/Xiaohongshu discussion signals using either public-web mode (no login) or optional login-enhanced browser review when the us...
安全使用建议
This skill appears coherent and safe for research tasks: it defaults to public-web searches and only uses a login-enhanced browser path if the user explicitly chooses to log in in a controlled session. Before installing, confirm your agent platform supports interactive/browser automation (the skill expects to open a browser session for user login). Never enter passwords into chat — follow the skill's instructed browser-native login flow. If you plan to run any included scripts, you can inspect them locally first (they are simple, readable utilities) and ensure your runtime won't unexpectedly execute external downloads.
功能分析
Type: OpenClaw Skill
Name: rednote-research
Version: 0.4.0
The rednote-research skill bundle provides comprehensive tools for OSINT on the RedNote (Xiaohongshu) platform, including query expansion and claim normalization. It is classified as suspicious because it includes high-risk capabilities and potential vulnerabilities: the 'login-enhanced' mode involves browser automation and authenticated sessions, and the `scripts/claim_log_tools.py` utility performs unvalidated file reads via `Path(path).read_text()`, which could be exploited for arbitrary file disclosure if the agent is manipulated. While the documentation (SKILL.md and references) includes defensive instructions and safety guidelines for handling user logins, the combination of session-based browser access and lack of input sanitization in file-handling scripts meets the threshold for risky behavior without clear malicious intent.
能力评估
Purpose & Capability
The name/description (RedNote/Xiaohongshu research) matches the included materials: detailed SKILL.md, query builders, claim-log tools, and many reference templates for evidence handling. There are no unrelated required env vars, binaries, or installs that don't belong to a web-research/analysis skill.
Instruction Scope
Instructions are specific and constrained to public-web searching and an explicit, user-consented 'login-enhanced' browser review. The SKILL.md explicitly forbids asking for passwords in chat and requires the user to complete the login inside the browser session. Note: the skill assumes an agent/platform-provided browser automation environment for the login-enhanced flow — that capability is referenced but not declared as a required binary in metadata (this is a reasonable assumption on many agent platforms, but you should confirm the runtime supports interactive browser sessions).
Install Mechanism
No install spec is provided (instruction-only install), so nothing is downloaded or extracted. The repository includes small utility scripts (query builder, recovery builder, claim-log tools) which are local and readable; they don't perform network calls or hidden downloads in the provided source.
Credentials
The skill requests no environment variables, no credentials, and no config paths. Its optional login flow is explicitly user-driven and does not ask for credentials via chat, which is proportionate for the stated purpose.
Persistence & Privilege
The skill is not marked always:true and has default autonomous invocation allowed (normal for skills). It does not request permanent presence or elevated system privileges, nor does it attempt to modify other skills or system configuration.
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 rednote-research - 安装完成后，直接呼叫该 Skill 的名称或使用
/rednote-research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
v0.4.0
Make the skill operational for real use: add a concrete login-enhanced workflow, account-summary templates, minimal no-login user-input fallback paths, and stronger guidance for hybrid public-web plus user-provided evidence research.
v0.3.0
Add dual access modes to the skill: default public-web research plus optional login-enhanced browser review when the user explicitly chooses deeper coverage. Document the login decision path, account-summary escalation flow, and clearer caveats for partial no-login coverage.
v0.2.0
Expand the RedNote/Xiaohongshu public-web research skill with multimodal analysis guidance, recovery-oriented query generation from snippets/OCR/subtitles, structured claim-log tooling, stronger verification patterns, a scoring rubric, and reusable report templates.
v0.1.1
Privacy scrub; stronger workflows and reliability caveats; improved query builder with aliases/geo/verification families; added verification patterns reference.
v0.1.0
Initial release: public-web RedNote/Xiaohongshu reputation research workflow with query builder and scoring rubric.
元数据
常见问题
RedNote Research 是什么？
Research a topic through RedNote/Xiaohongshu discussion signals using either public-web mode (no login) or optional login-enhanced browser review when the us... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 304 次。
如何安装 RedNote Research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rednote-research」即可一键安装，无需额外配置。
RedNote Research 是免费的吗？
是的，RedNote Research 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
RedNote Research 支持哪些平台？
RedNote Research 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 RedNote Research？
由 Pippin（@pippin1214）开发并维护，当前版本 v0.4.0。
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