tencent-doc-update-watch

What This Skill Does

The tencent-doc-update-watch skill is a specialized utility designed to manage, monitor, and audit changes within Tencent Docs (docs.qq.com). It automates the re-crawling of specified document links—including Sheets, Docs, and AIO files—to track historical versions and identify modifications. By comparing current captures against previous snapshots using metadata keys like last_modify_ms, rev, and cgi_code, the skill generates both a machine-readable manifest.json and a human-readable report.md. A core tenet of this skill is its privacy-first architecture: it automatically scrubs URL query parameters to prevent token leakage, ensures sensitive raw files are purged post-processing, and provides clear status indicators such as UNCHANGED, CHANGED, NEW, or FIRST_RUN.

Installation

You can install this skill directly using the OpenClaw CLI: clawhub install openclaw/skills/skills/chinasilva/tencent-doc-update-watch

Use Cases

• Project Management: Track daily progress updates in collaborative project sheets without manually checking links.
• Knowledge Management: Monitor shared documentation for updates, ensuring your local archives remain synchronized with upstream content.
• Compliance & Auditing: Keep a history of document changes for project records, allowing for specific diff-based audit trails.
• Private Monitoring: Maintain visibility into document status changes without exposing sensitive tracking tokens or raw data to your persistent workspace storage.

Example Prompts

1. "Check for updates on my project docs using the configuration file at references/default-docs.json and save the reports in the /tmp/my-audit folder."
2. "Re-crawl the Tencent docs listed in my-docs.json and compare the results against the snapshot from last Tuesday. Keep the raw files for debugging purposes."
3. "Verify the status of my team's shared sheet. Did anything change since the last time I ran the watch tool? Output the report to the current workspace."

Tips & Limitations

• Privacy: If you encounter unexpected parsing issues, enable the --keep-raw flag to troubleshoot, but remember to manually delete the raw/ directory afterward to maintain your data privacy standards.
• Comparison Strategy: The skill relies on metadata signals. Ensure the documents you are tracking have stable versions, as some transient document states might trigger false positives in the rev signal.
• Performance: For large lists of documents, ensure your system has sufficient network bandwidth, as sequential crawling can take time depending on the document complexity and size.