Search local WhatsApp Desktop chats, messages, and media metadata read-only.
The material indicates this skill is for local, offline reading and archiving of WhatsApp Desktop chat data, with no required secrets and no declared remote endpoints. Overall exfiltration risk appears low, but it handles sensitive local chat data and the repository shows weak adoption and unclear maintenance, so cautious use is advisable.
The material explicitly says there are no required secrets or environment variables, and the README does not require API tokens, account credentials, or external authentication; no direct credential collection or abuse surface is evident.
No remote endpoints are declared, and the described function is to snapshot local WhatsApp Desktop data into a local SQLite archive and search it offline; there is no indication in the material of sending user data to external services.
The system flags this as prompt-only, suggesting the audited artifact is more like instructions/usage text than bundled executable agent logic; while the README lists local commands, the material shows no request for extra system privileges or covert execution behavior.
It is described as reading the local WhatsApp Desktop container directory and copying related SQLite files into a temporary snapshot before importing them into `~/.wacrawl/wacrawl.db`; although positioned as read-only inspection, it accesses highly sensitive chats, messages, and media metadata, and allows `--source` and `--db` overrides, so scope should be constrained and the archive protected.
Positive factors are that it is open-source on GitHub and the source is auditable; however, the repository shows 0 stars, no declared license, and unknown maintenance status, indicating weak community validation and unclear ongoing support, so source and dependencies should be reviewed before use.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "wacrawl" skill from askskill: 1. Download https://raw.githubusercontent.com/openclaw/nix-openclaw-tools/main/tools/wacrawl/skills/wacrawl/SKILL.md 2. Save it as ~/.claude/skills/wacrawl/SKILL.md 3. Reload skills and tell me it's ready
Search the local WhatsApp Desktop archive for messages containing "contract" and list sender, chat name, timestamp, and a short message preview in reverse chronological order.
A list of matching messages for quickly locating relevant conversations.
Read the local WhatsApp Desktop archive for chats with "Zhang San" and summarize the main discussion topics, key dates, and mentioned action items from the last 30 days.
A communication summary highlighting recent discussion points and action items.
Analyze the local WhatsApp Desktop archive for a group over the past 90 days, count images, videos, and documents, and list peak sending time periods for each media type.
Counts and time distribution by media type to understand group content activity.
Use wacrawl to snapshot local WhatsApp Desktop data into a separate SQLite archive and search it offline.
Use this skill when the user wants to:
~/.wacrawl/wacrawl.db~/Library/Group Containers/group.net.whatsapp.WhatsApp.shared~/.wacrawl/wacrawl.dbwacrawl doctorwacrawl importwacrawl doctorwacrawl importwacrawl statuswacrawl chats --limit 20wacrawl messages --limit 20wacrawl messages --chat [email protected] --limit 50wacrawl search "release notes"wacrawl --json search "invoice" --from-them --after 2026-01-01wacrawl is read-only and does not send messages.--source to override the WhatsApp Desktop container path.--db to archive somewhere other than ~/.wacrawl/wacrawl.db.Mirror Discord history into SQLite for offline search, analysis, and reporting.
Search places, details, and reviews via Google Places with human or JSON output.
Search Markdown knowledge bases, notes, and docs to quickly find needed information.
Watch file changes and automatically rebuild across any language or build system.
Convert text to speech locally and offline with sherpa-onnx, no cloud needed.
Regenerate OpenClaw release changelog sections from Git history before releases.
Read local WhatsApp chat history for search, analysis, and information extraction.
Search, structure, export, and manage authorized WhatsApp Web conversations.
Read, summarize, and send WhatsApp messages safely from your own number.
Read and send WhatsApp messages through AI with human-approved sending.
Scrape, crawl, map, and search web data for AI agents.
Operate WhatsApp directly via MCP for messaging, groups, and contact automation.