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Openclaw Xiaohongshu Ops

v0.1.0

Review-first Xiaohongshu/Rednote content ops for OpenClaw. Use when creating a repeatable workflow for topic research, draft generation, Feishu review, exact...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for zhangifonly/openclaw-xiaohongshu-ops.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Openclaw Xiaohongshu Ops" (zhangifonly/openclaw-xiaohongshu-ops) from ClawHub.
Skill page: https://clawhub.ai/zhangifonly/openclaw-xiaohongshu-ops
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install openclaw-xiaohongshu-ops

ClawHub CLI

Package manager switcher

npx clawhub@latest install openclaw-xiaohongshu-ops
Security Scan
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Purpose & Capability
The name/description (Xiaohongshu content ops with review-first workflow) matches the included docs and scripts: research, draft, preview, save packages, write memory, and a publish helper that invokes a local xhs_toolkit. However the skill package does not declare environment variables even though the README and scripts require XHS_TOOLKIT_ROOT (and the README references XHS_REVIEW_OPEN_ID). This omission is an inconsistency between declared requirements and actual needs.
Instruction Scope
SKILL.md and workspace docs instruct the agent to read many local template files and use the bundled scripts. The runtime scripts read and write local files (.openclaw/pending-xhs/, memory/), call a local toolkit (xhs_toolkit.py) via subprocess, and set a temporary Chrome user-data dir for publishing. These actions are coherent with the stated publish-assist purpose but the instructions assume a pre-existing local Xiaohongshu toolkit and specific environment variables (not listed in the skill metadata).
Install Mechanism
There is no network install spec and no downloads; the skill is instruction-heavy and ships Python scripts and docs. That reduces remote-install risk. The included scripts will be present on disk as part of the skill package, but nothing in the manifest fetches remote code.
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Credentials
The skill metadata declares no required env vars, yet scripts explicitly require XHS_TOOLKIT_ROOT (publish_approved_note.py raises if not set) and the README/TOOLS.md reference XHS_REVIEW_OPEN_ID. These environment variables are appropriate for a local publish workflow, but the omission from declared requirements is a coherence problem: a user could install/run the skill without realizing these variables are mandatory. No unrelated cloud credentials or broad secrets are requested, which is good.
Persistence & Privilege
The skill is not marked always:true and does not request elevated platform privileges. It writes files to local workspace subpaths (.openclaw/pending-xhs, memory/) and creates a temporary Chrome profile dir when publishing; those are reasonable for a content workflow and are scoped to the user's workspace/environment.
What to consider before installing
This package is largely what it says: a review-first Xiaohongshu content workflow with helper scripts. Before installing, note these practical issues and checks: 1) The metadata does not list required env vars but the code requires XHS_TOOLKIT_ROOT (and the README mentions XHS_REVIEW_OPEN_ID). Set and verify these before use. 2) publish_approved_note.py will call a local xhs_toolkit.py (via subprocess) and can perform a live publish if run with --allow-live and an exact --confirm-title; review that toolkit's code and understand its credentials and UI automation before allowing live runs. 3) The scripts write to .openclaw/pending-xhs/ and memory/ in your workspace and create a temporary Chrome user-data directory for publish runs—ensure you’re comfortable with those locations and have backups. 4) If you need the skill to declare requirements, request that the author add XHS_TOOLKIT_ROOT and XHS_REVIEW_OPEN_ID to the skill manifest so the platform can surface warnings and enforce least privilege. 5) If you want lower risk, run the scripts manually in a controlled environment (inspect xhs_toolkit.py first) rather than enabling autonomous invocation.

Like a lobster shell, security has layers — review code before you run it.

latestvk977xba1naqba29ag6cn9fyttd82hsmb
958downloads
1stars
1versions
Updated 10h ago
v0.1.0
MIT-0

Clawnote

Use this skill when the goal is to build or run a Xiaohongshu content workflow inside OpenClaw.

This skill is for:

  • daily AI news + OpenClaw practice drafts
  • Feishu-first review flow
  • Xiaohongshu-style rewriting
  • exact-title approval before publish
  • memory + cron driven content ops

What To Read

Start with:

  • workspace-template/AGENTS.md
  • workspace-template/SOUL.md
  • workspace-template/TOOLS.md

Read these when needed:

  • workspace-template/PUBLISH_ASSIST.md for publish rules
  • workspace-template/FEISHU_COMMANDS.md for user command patterns
  • docs/SAFETY.md for risk boundaries

Workflow

Follow this order:

  1. xhs-research
  2. xhs-draft
  3. xhs-publish-assist

Default mode is review-first, not auto-publish.

Bundled Scripts

Use these scripts instead of rewriting them:

  • workspace-template/scripts/save_publish_package.py
  • workspace-template/scripts/build_publish_package.py
  • workspace-template/scripts/publish_approved_note.py
  • workspace-template/scripts/write_memory_entry.py

Important Safety Rules

  • Do not publish without explicit user approval.
  • Treat deletion as a separate high-risk action.
  • Do not assume archive-to-draft works unless it has been re-verified for the current Xiaohongshu UI.
  • Prefer exact-match title confirmation over fuzzy matching.

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