Openclaw Xiaohongshu Ops

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

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.

Type: OpenClaw Skill Name: openclaw-xiaohongshu-ops Version: 0.1.0 The skill bundle implements a structured Xiaohongshu (Rednote) content workflow with a strong emphasis on 'human-in-the-loop' safety. The Python scripts (e.g., publish_approved_note.py and save_publish_package.py) handle local draft management and interface with an external toolkit via subprocess calls, but they include explicit guardrails such as mandatory exact-title matching and an --allow-live flag to prevent unauthorized execution. No evidence of data exfiltration, malicious prompt injection, or obfuscation was found.