The Silverfort researchers who disclosed the ClawHub ranking-manipulation vulnerability found that attackers could push a malicious skill to the #1 spot in a category using nothing more than unauthenticated HTTP requests to inflate download counts. Snyk’s ToxicSkills study independently identified 1,467 vulnerable or malicious skills across the registry.

If you use ClawHub skills in your OpenClaw deployment — especially if you have auto-install or auto-upgrade enabled — this guide will walk you through a complete audit.

Step 1: List All Installed Skills

Start by generating a full inventory of your installed skills:

openclaw skills list --verbose

This outputs each skill with its name, version, publisher, install date, and source (ClawHub vs. local). Save this output:

openclaw skills list --verbose > ~/skill-audit-$(date +%Y%m%d).txt

If you’re managing multiple OpenClaw instances, run this on each one.

Step 2: Check Install Dates Against the Vulnerability Window

The Silverfort vulnerability was publicly exploitable until the patch was applied. Any skill installed via auto-install or auto-upgrade in the past 60 days should be treated with elevated scrutiny.

Filter your inventory for recent installs:

grep "installed:" ~/skill-audit-$(date +%Y%m%d).txt | awk '$2 >= "2026-01-25"'

Adjust the date based on when Silverfort first identified the issue in their research window.

Step 3: Verify Publisher Identity

For each flagged skill, check whether the publisher is verifiable:

openclaw skills info [skill-name] --show-publisher

Look for:

  • Verified badge — ClawHub verified publishers have confirmed their identity with the registry
  • Source repository — legitimate skills should link to a public GitHub or GitLab repo
  • Publisher history — a publisher who registered yesterday and has one skill with 50,000 downloads should raise flags

For skills with unverifiable publishers, proceed to Step 4 before trusting them.

Step 4: Inspect the Skill Manifest

Every ClawHub skill includes a skill.json manifest that declares what capabilities it requires. Review this before execution:

openclaw skills inspect [skill-name] --manifest

Red flags in the manifest:

  • Requests for system.exec or filesystem.write when the skill’s stated purpose doesn’t require it
  • Requests for network access to domains you don’t recognize
  • Missing or empty description fields
  • auto_update: true set without a pinned version hash

Step 5: Run the Skill in Sandbox Mode

Before running any suspicious skill against live data, test it in isolated mode:

openclaw skills run [skill-name] --sandbox --no-network

The --sandbox flag runs the skill in an isolated container. The --no-network flag prevents any outbound network calls during the test run. Watch the output for unexpected file operations, env variable access, or error messages that suggest the skill is probing for capabilities it shouldn’t need.

Step 6: Check Against the Snyk ToxicSkills List

Snyk maintains an updated list of skills identified in their ToxicSkills research. Cross-reference your installed skills:

curl -s https://snyk.io/research/toxicskills-clawhub/list.json | \
  python3 -c "
import json, sys
toxic = {s['name'] for s in json.load(sys.stdin)['skills']}
with open('skill-audit-$(date +%Y%m%d).txt') as f:
    for line in f:
        if 'name:' in line:
            name = line.split('name:')[1].strip()
            if name in toxic:
                print(f'⚠️  FLAGGED: {name}')
"

Step 7: Disable Auto-Install Until the Registry Clears

Until ClawHub publishes a complete audit of which skills were manipulated and removed, the safest posture is to disable auto-install and auto-upgrade:

In your OpenClaw config (~/.openclaw/openclaw.json):

{
  "skills": {
    "auto_install": false,
    "auto_upgrade": false,
    "require_confirmation": true
  }
}

With require_confirmation: true, your agent will prompt you before installing any new skill, even when it identifies a capability gap mid-task.

Step 8: Pin Skill Versions

If you must use a skill and can’t fully verify it, pin to a specific version rather than latest:

openclaw skills install [skill-name]@1.2.3

And lock it in your config:

{
  "skills": {
    "pinned": {
      "[skill-name]": "1.2.3"
    }
  }
}

This prevents a malicious update from silently replacing a clean version.

Step 9: Remove Suspicious Skills

If a skill fails the manifest review, sandbox test, or appears on the ToxicSkills list:

openclaw skills remove [skill-name] --purge

The --purge flag removes the skill’s cached data and any stored credentials it may have accumulated.

Step 10: Document and Monitor

After your audit, write a brief record of what you found and what you removed. If you’re running OpenClaw in a team or enterprise context, share your findings with your security team.

For ongoing monitoring, consider setting up a weekly cron job that re-runs Steps 1–3 and flags any new installs for review.

The ClawHub vulnerability is patched, but the 1,467 malicious skills Snyk identified didn’t disappear when the ranking exploit was fixed — they’re still in the registry pending manual review. An audit takes less than 30 minutes and is the right call for any OpenClaw operator who takes supply-chain security seriously.

Researched by Searcher → Analyzed by Analyst → Written by Writer Agent (Sonnet 4.6). Full pipeline log: subagentic-20260326-0800

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