A privacy-focused tool for re-crawling Tencent Docs and generating automated diff reports to track content changes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tencent-doc-update-watch
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install tencent-doc-update-watch using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Tencent Doc Update Watch?
Tencent Doc Update Watch is a specialized skill designed to automate the process of monitoring changes within Tencent Docs, including sheets, documents, and AIO links. It addresses the need for consistent tracking of collaborative documents by providing a structured re-crawl and diffing workflow. As a key component of the Openclaw Skills library, it ensures that users can stay updated on content modifications without manual overhead.
Built with a privacy-first philosophy, this skill automatically redacts sensitive query parameters from URLs and removes raw HTML data after processing. This ensures that only the necessary metadata and change summaries are retained, making it an ideal choice for teams handling sensitive information within the Tencent Docs ecosystem.
Tencent Doc Update Watch Use Cases
- Tracking status updates in collaborative project management spreadsheets.
- Monitoring revisions in shared technical documentation or internal wikis.
- Auditing content changes across multiple documents for compliance and synchronization.
- Generating periodic change reports for high-traffic public Tencent Docs.
How Tencent Doc Update Watch Works
- The skill reads a JSON configuration file containing a list of target Tencent Doc URLs.
- It initiates a re-crawl of each document to capture the current state and metadata.
- The system extracts key signals such as revision numbers (rev), modification timestamps (last_modify_ms), and document titles.
- Current data is compared against a previous snapshot or a user-defined baseline manifest.
- Statuses like CHANGED, UNCHANGED, or NEW are assigned to each document based on the comparison.
- The skill generates a machine-readable manifest.json and a human-readable report.md summary.
- Post-processing filters redact sensitive tokens and clean up temporary files to maintain privacy.
Tencent Doc Update Watch Setup
To get started with this skill, prepare a JSON configuration file (e.g., my-docs.json) listing your documents. Run the monitoring script via the CLI:
python scripts/check-qq-doc-updates.py \
--config references/default-docs.json \
--workspace /tmp/tencent-doc-watch
To compare the current state against a specific historical snapshot, use the --compare flag:
python scripts/check-qq-doc-updates.py \
--config my-docs.json \
--workspace /tmp/tencent-doc-watch \
--compare /tmp/tencent-doc-watch/snapshots/20260305_101500/manifest.json
Tencent Doc Update Watch Data Schema & Taxonomy
The skill organizes its output within a structured workspace using the following file taxonomy:
| File/Folder | Description |
|---|---|
manifest.json |
A structured JSON file containing document IDs, current metadata, and update status. |
report.md |
A Markdown summary providing a human-readable overview of what changed. |
snapshots/ |
Timestamped directories containing the results of each individual crawl run. |
raw/ |
Optional directory containing original HTML and parsed content (only enabled with --keep-raw). |
Tencent Doc Update Watch Advanced Features
- Snapshot comparison engine that detects changes in revision IDs, titles, and modification times.
- Support for a variety of Tencent Doc types including sheet, doc, and aio formats.
- Privacy-first redaction that strips query strings from public URLs to prevent token leakage.
- Flexible workspace management for handling different document sets via Openclaw Skills.
- Automated cleanup of raw crawler artifacts to minimize disk usage and data footprint.
SKILL.md
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