Has Anonymizer skill for OpenClaw
What this skill does
HaS (Hide and Seek) on-device text and image anonymization. Text: 8 languages (zh/en/fr/de/es/pt/ja/ko), open-set entity types.
The Has Anonymizer skill is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.
How to install the Has Anonymizer skill
The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:
- Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
- Open the in-app Skills panel.
- Search for
has-anonymizerand click Install. - The skill activates automatically when an incoming message matches its description.
Install from the command line
If you already run the OpenClaw CLI, add the Has Anonymizer skill with a single command:
openclaw skills add has-anonymizer
This pulls has-anonymizer from ClawHub and installs it into ~/.openclaw/skills/has-anonymizer/. Restart the OpenClaw gateway afterwards so the new skill is discovered.
How to use the Has Anonymizer skill
Once installed, the Has Anonymizer skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.
Turning images into video
Has Anonymizer works with images. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — turns stills into motion — pans and transitions, synced captions, and a vertical export for short-form feeds.
It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.
Manual install (advanced)
If you prefer manual installation:
- Click the Download skill .zip button above to grab
has-anonymizer-1.0.3.zipdirectly from our S3 mirror. - Unzip into
~/.openclaw/skills/has-anonymizer/(create the directory if it does not exist). - Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.
Frequently asked questions
How do I install Has Anonymizer?
Install Has Anonymizer in the OpenClaw Easy desktop app by opening the Skills panel, searching for has-anonymizer, and clicking Install. From a terminal you can run: openclaw skills add has-anonymizer. Either way the skill is placed in ~/.openclaw/skills/has-anonymizer/.
Is the Has Anonymizer skill free?
Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.
What does Has Anonymizer do?
HaS (Hide and Seek) on-device text and image anonymization. Text: 8 languages (zh/en/fr/de/es/pt/ja/ko), open-set entity types.
Related: more developer tools skills
If the Has Anonymizer skill looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:
Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.
Browse the full OpenClaw skill catalog
This page covers just one skill. The OpenClaw skill hub has 10,000+ more — search, sort by downloads or stars, and install any of them in one click. There is also a curated awesome-openclaw-skills list grouped by use case.
Get OpenClaw Easy — Free
Install Has Anonymizer and 10,000+ other OpenClaw skills in one click. Free, open-source, runs locally on macOS & Windows.
Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models