After the 2026 ClawHavoc supply-chain attack, many teams stopped installing third-party Skills from ClawHub but still depend on the plugin ecosystem. This article is for developers who already run Gateway and are preparing to roll ClawHub skills into production. It complements our install guide with a security selection runbook: clawhub inspect audit, clawhub pin version freeze, allowBundled whitelist, staged rollout (read-only to write to system calls), plus key rotation and openclaw doctor acceptance after a bad install. It ties into Gateway hardening and MCP whitelist guidance.
From February 2026, security researchers disclosed ClawHavoc, a large-scale poisoning campaign against OpenClaw's official skill marketplace ClawHub. Attackers uploaded malicious Skills disguised as crypto trackers, YouTube tools, and productivity plugins. They used ClickFix 2.0 social engineering: SKILL.md "prerequisite install" sections that trick users into pasting curl | bash, stealing API keys and environment variables, and in some cases deploying macOS infostealers or Windows reverse shells. A Koi Security audit found roughly 12% of registry skills carried malicious payloads. OpenClaw later shipped Phase 2 moderation with multi-signal arbitration, but registry review cannot replace your runtime governance.
Treating ClawHub like npm: Skills run under Gateway process privileges. One malicious skill can read every Provider key on the host.
Trusting stars and download counts: ClawHavoc batches used inflated metrics and slug impersonation to rank higher.
Skipping manual SKILL.md review: Malicious pre-install steps often hide in "environment setup" sections, not obvious doc blocks.
Sharing one workspace for prod and experiments: Mixing ./skills with ~/.openclaw/skills lets experimental write access pollute production agents.
Patching CVEs without skill inventory: After CVE-2026-25253, a previously installed malicious skill may still be on disk.
Decoupling from MCP whitelist: New tools introduced by a skill never enter openclaw.json policy boundaries, so exec approval becomes theater.
| Source | Audit cost | Best stage | Primary risk |
|---|---|---|---|
| Bundled (npm-shipped) | Low; pair with allowBundled | Production baseline | Limited features; upgrades follow OpenClaw releases |
| Team-built ./skills | Controlled; internal PR review | Production customization | Maintenance cost; needs version pin |
| High-reputation ClawHub skill | Medium; inspect + manual SKILL.md read | Staging / read-only rollout | Compromised author account; malicious update diff |
| New upload / low downloads | High; isolate on a test VM | Lab VM only | ClawHavoc impersonation, ClickFix social engineering |
| Split with install guide | — | First onboarding | See ClawHub install guide |
"Registry says clean" only means the current scan passed. Your production bar should be: who installed it, which version, which keys it can reach, and how you roll back in ten minutes.
This sequence assumes Gateway is already daemonized via openclaw onboard --install-daemon. For Docker isolation see Compose production volumes; for Linux systemd see Ubuntu systemd.
Inventory current state: openclaw skills list plus clawhub list; record slug, version, and install path (workspace ./skills vs ~/.openclaw/skills).
Inspect before install: clawhub search "keyword" then clawhub inspect <slug>; review moderation verdict, author skill count, and whether changelog shows a sudden large rewrite.
Isolate and trial install: In a non-production workspace run clawhub install <slug>; read SKILL.md end to end and reject any "run this curl/bash for dependencies" block that does not come from an official domain.
Pin and read-only rollout: After acceptance run clawhub pin <slug>; disable write/exec tools on the agent first and validate retrieval-only behavior; pair with exec approval and networkPolicy.
Configure allowBundled whitelist: In openclaw.json skills section set the allowBundled array so production nodes only load listed bundled skills plus pinned ClawHub slugs; all other install requests go through change control.
Doctor acceptance and observability: openclaw doctor --deep; after a new session run openclaw logs --follow to confirm clean skill load; cross-check tool registry against MCP whitelist.
# 2026 ClawHub production selection — audit → trial → pin → whitelist openclaw skills list clawhub list clawhub search "summarize" clawhub inspect summarize-web --version latest # Isolated workspace trial (example) cd ~/openclaw-staging && clawhub install summarize-web grep -R "curl\|bash\|wget" skills/*/SKILL.md clawhub pin summarize-web openclaw config set skills.allowBundled '["memory-core","summarize-web"]' openclaw gateway restart openclaw doctor --deep
Tip: clawhub update --all breaks the psychological safety of pin policy. Production cron should use ticket-driven updates with a re-run of inspect in staging.
Warning: If SKILL.md asks you to export third-party API keys into a shell profile, prefer openclaw configure or SecretRef instead of plaintext in the Gateway environment.
If you suspect a malicious skill is installed, follow revoke first, clean second, rotate third:
Stop Gateway immediately: openclaw gateway stop or systemd stop to block further outbound traffic.
Uninstall the skill: clawhub uninstall <slug> or delete the matching skills/<slug>/ directory; check crontab and LaunchAgent for unexpected entries.
Rotate credentials: All LLM Provider keys, Brave Search key, Gateway token (gateway.auth.token); check Anthropic/OpenAI consoles for abnormal call spikes.
Re-accept: openclaw doctor --fix plus our auth troubleshooting guide.
Trial-installing skills on a laptop or shared VPS often mixes experiment directories with production Gateway under the same user. An exclusive, snapshot-capable macOS node fits a staged flow: trial skill, pin, promote to production. If you want VPS-like provisioning for SSH-maintainable Macs where this runbook ships in a golden image, NodeMini Mac Mini cloud rental is usually the better fit: same ops mindset as remote Mac launchd and iOS CI on one machine, reducing the risk of trialing a malicious skill on the same host that holds production keys.
Yes, but only with inspect-before-install: review moderation signals, pin versions, and use allowBundled in production. Install flow: ClawHub install guide.
allowBundled controls which skills may load; MCP whitelist controls which external tools a skill may call. Both layers are required for a complete boundary. See MCP tools guide.
Separate trial and production nodes or workspaces. Sizing and billing: Mac Mini cloud rental rates. Access help: help center.