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Install in OpenClaw
/install xiaohongshu-assistant-operator
Description
Automates daily Xiaohongshu content creation, publishing, marketing, and engagement for creator ID 4740535877 with strict persona and promotion controls.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xiaohongshu-assistant-operator - After installation, invoke the skill by name or use
/xiaohongshu-assistant-operator - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Xiaohongshu Assistant Operator?
Automates daily Xiaohongshu content creation, publishing, marketing, and engagement for creator ID 4740535877 with strict persona and promotion controls. It is an AI Agent Skill for Claude Code / OpenClaw, with 846 downloads so far.
How do I install Xiaohongshu Assistant Operator?
Run "/install xiaohongshu-assistant-operator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Xiaohongshu Assistant Operator free?
Yes, Xiaohongshu Assistant Operator is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Xiaohongshu Assistant Operator support?
Xiaohongshu Assistant Operator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Xiaohongshu Assistant Operator?
It is built and maintained by a950701zz (@a950701zz); the current version is v0.1.0.
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