Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add openclaw/nix-openclaw-tools --skill wacrawlgit clone --depth 1 https://github.com/openclaw/nix-openclaw-toolsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/openclaw/nix-openclaw-tools/wacrawl)<a href="https://agentmods.dev/skills/openclaw/nix-openclaw-tools/wacrawl"><img src="https://agentmods.dev/badge/skills/openclaw/nix-openclaw-tools/wacrawl.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.00535 |
| Opus 5 | $0.00011 | $0.00267 |
| Sonnet 5 | $0.00004 | $0.00107 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
wacrawl scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
wacrawl
Use wacrawl to snapshot local WhatsApp Desktop data into a separate SQLite archive and search it offline.
When to Use
Use this skill when the user wants to:
- inspect local WhatsApp Desktop history without opening the app
- archive chats into a local SQLite database for repeat queries
- search WhatsApp messages locally with filters
- list chats, recent messages, or archive status from a read-only import
Requirements
- local WhatsApp Desktop data on the same machine
- enough local disk for
~/.wacrawl/wacrawl.db - understand that this is read-only inspection, not message sending
Setup
- Default source:
~/Library/Group Containers/group.net.whatsapp.WhatsApp.shared - Default archive DB:
~/.wacrawl/wacrawl.db - First sanity check:
wacrawl doctor
- First import:
wacrawl import
Common Commands
- Doctor:
wacrawl doctor - Import fresh snapshot:
wacrawl import - Archive status:
wacrawl status - List chats:
wacrawl chats --limit 20 - Recent messages:
wacrawl messages --limit 20 - One chat:
wacrawl messages --chat [email protected] --limit 50 - Search:
wacrawl search "release notes" - Filtered search:
wacrawl --json search "invoice" --from-them --after 2026-01-01
Notes
wacrawlis read-only and does not send messages.- It copies WhatsApp SQLite files into a temp snapshot before import.
- Use
--sourceto override the WhatsApp Desktop container path. - Use
--dbto archive somewhere other than~/.wacrawl/wacrawl.db.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 70 lines · 22 tokens per session scan A a57f3f28ce4d
wacrawl is a skill published in the GitHub repository openclaw/nix-openclaw-tools (53 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 535 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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