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Xiaohongshu Assistant Operator

作者 a950701zz · GitHub ↗ · v0.1.0
cross-platform ⚠ suspicious
846
总下载
0
收藏
5
当前安装
1
版本数
在 OpenClaw 中安装
/install xiaohongshu-assistant-operator
功能描述
Automates daily Xiaohongshu content creation, publishing, marketing, and engagement for creator ID 4740535877 with strict persona and promotion controls.
安全使用建议
Do not install or provide account credentials to this skill until the author clarifies how it will authenticate and execute publishing. Ask the publisher these specific questions: (1) How does the skill authenticate to Xiaohongshu? (environment variables, OAuth, stored browser session, or external service?), (2) What credentials or tokens are required and what minimal scopes/permissions are needed? (3) Where is publish_strict.py (SKILL.md references it but it isn't included)? (4) Will the skill store any credentials persistently and where? (5) Can you run the skill in a sandbox/test account first? If you must test, use a throwaway creator account with limited permissions and prefer manual-trigger mode only. Finally, confirm that automated publishing complies with Xiaohongshu's terms of service and that you trust the skill owner before granting any authentication material.
功能分析
Type: OpenClaw Skill Name: xiaohongshu-assistant-operator Version: 0.1.0 The skill bundle is designed for automated social media content creation and management, which inherently involves high-risk capabilities such as external web interactions and content publishing. While the instructions in `SKILL.md` and `references/strict-publish-validation.md` do not show explicit malicious intent (e.g., data exfiltration, backdoors, or malicious prompt injection), the agent is instructed to perform actions like 'Submit post' and 'Navigate to creator note management page' on an external platform. These capabilities, if exploited or misused, could lead to unauthorized content, account compromise, or other vulnerabilities, classifying it as suspicious due to the inherent risks of automated external interactions.
能力评估
Purpose & Capability
The skill's name and description match the instructions (operating a single creator account end-to-end). However, the workflow requires account-level access (reading creator notes, submitting posts, checking the creator management page) but the skill declares no credentials, auth method, or config paths. That mismatch (wanting to perform privileged platform actions while requesting no auth) is incoherent.
Instruction Scope
SKILL.md explicitly instructs the agent to read the last 5 creator notes, submit posts (image-text mode), navigate the creator management page to validate posts, and run scheduled comment interactions. These are concrete I/O actions against an external platform but the instructions do not specify how to authenticate, what endpoints or UI automation to use, nor do they provide or include the referenced publish_strict.py script. The open-ended 'scan industry trends' step is also vague about allowed external endpoints. Overall the runtime instructions exceed what an instruction-only skill has declared.
Install Mechanism
There is no install spec and no code files beyond plain text references. That minimizes install-time risk, but also means the skill depends on the agent's existing environment (browsers, sessions, or external connectors) which is not described.
Credentials
The skill performs actions that normally require authentication tokens or browser sessions (publish, management-list checks, reading private creator notes) but declares no required environment variables or credentials. This is disproportionate: either the skill assumes implicit access to the user's Xiaohongshu account (not declared) or the SKILL.md is incomplete. Either case is a red flag.
Persistence & Privilege
always is false (normal) and autonomous invocation is allowed (platform default). Autonomous operation plus the ability to publish content increases potential impact if credentials are later supplied, but autonomy alone is not unusual — the main concern is the missing authentication/operation details combined with autonomous publishing capability.
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 xiaohongshu-assistant-operator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /xiaohongshu-assistant-operator 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
v0.1.0
- Initial release: fully automated Xiaohongshu content management skill for creator Bu Zhuan Dao Da Mo Xing Bu Gai Ming (ID: 4740535877) - Implements end-to-end daily workflow: topic detection, industry trend analysis, post generation (3/day), controlled marketing, strict validation, and comment interaction - Supports both cold start and stable growth operation phases with strategy references - Enforces strict posting and promotion constraints aligned with the creator persona - Includes manual trigger mode for one-cycle execution
元数据
Slug xiaohongshu-assistant-operator
版本 0.1.0
许可证
累计安装 7
当前安装数 5
历史版本数 1
常见问题

Xiaohongshu Assistant Operator 是什么?

Automates daily Xiaohongshu content creation, publishing, marketing, and engagement for creator ID 4740535877 with strict persona and promotion controls. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 846 次。

如何安装 Xiaohongshu Assistant Operator?

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

Xiaohongshu Assistant Operator 是免费的吗?

是的,Xiaohongshu Assistant Operator 完全免费(开源免费),可自由下载、安装和使用。

Xiaohongshu Assistant Operator 支持哪些平台?

Xiaohongshu Assistant Operator 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 Xiaohongshu Assistant Operator?

由 a950701zz(@a950701zz)开发并维护,当前版本 v0.1.0。

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