An OpenClaw Skill Card summarizes who published a skill, what it claims to do, where it came from, and what ClawHub’s security pipeline found. It is useful evidence before installation, but it is not a promise that the skill is safe in every environment.
The key reading habit is to combine the verdict with the skill’s authority and source. A legitimate publishing skill can still be high impact because it can change public data.
This guide reflects official information available on September 2, 2026.
What a Skill Card tells you
Skill Cards are generated trust artifacts attached to published ClawHub skills.
They bring publisher identity, provenance, declared behavior, scan findings, and a final verdict into one view.
ClawHub says card information is verified by the registry rather than copied only from a publisher description.
The card helps you ask better questions; it does not inspect your exact credentials, configuration, or intended use.
How the ClawScan pipeline works
ClawHub combines static analysis, VirusTotal telemetry, NVIDIA SkillSpector findings, provenance, metadata, and moderation history.
ClawScan evaluates those signals together instead of assuming one scanner provides the full answer.
The official announcement reports low overlap among scanner positives, illustrating that each system sees a different risk surface.
A combined verdict therefore needs context, especially when a tool has broad but legitimate capabilities.
What each scanner is good at
- VirusTotal is strongest as malware and file-reputation telemetry.
- Static analysis identifies dangerous code patterns and artifact structure.
- SkillSpector looks for agentic risks such as hidden instructions and purpose-behavior mismatches.
- ClawScan weighs the signals and the artifact’s stated purpose.
- Human review connects those findings to your data and permissions.
No single layer replaces the others.
Read audit status and risk separately
ClawHub currently documents Pass, Review, Warn, Malicious, Pending, and Error audit states.
Pass means no visible issue above low risk was found; it does not mean zero risk.
Review or Warn requires reading the findings, while Malicious means do not install.
Risk level describes potential blast radius: Low, Medium, or High authority and impact.
A medium-risk skill can be legitimate, while a pending scan is incomplete evidence.
Verify from the command line
The official skills documentation provides a verification command and an option to print the card:
openclaw skills verify @owner/<slug>
openclaw skills verify @owner/<slug> --cardUse an owner-qualified reference to reduce publisher ambiguity.
Confirm that the verified version matches the version you intend to install.
Inspect findings before installation
- Read what was flagged, why, the affected content, and the recommendation.
- Compare requested credentials and environment variables with the stated job.
- Inspect included scripts, install steps, package metadata, and file manifests.
- Check owner, source repository, version, changelog, and maintenance history.
- Pause when a finding is unexplained or the audit is pending or errored.
Install only content you understand and trust.
What scans cannot guarantee
A clean artifact can later call a compromised dependency or external service.
Semantic analysis can produce false positives and false negatives.
Scanners cannot know whether your credentials are overprivileged or whether a command is safe for your production environment.
Updates can change behavior, so an earlier card should not be treated as approval for every later release.
A safer adoption workflow
Review the card and source, then test the exact version with nonsensitive data and minimal permissions.
Prefer an isolated workspace, restrict network and command access, and observe what the skill actually reads or changes.
If you are creating your own reusable workflow, use the OpenClaw Skill Workshop guide to keep generated instructions inactive until review.
Skill Cards reduce uncertainty by making evidence visible. The final decision still belongs to the operator who understands the environment, data, and acceptable blast radius.