Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- Initial release of version 1.1.0. - Updated core logic in scripts/orchestrator.py.
What This Skill Does
Runs sequences of skills as automated pipelines defined in YAML or JSON. Each step supports conditional execution, failure handling (abort, warn, rollback, retry), output passing between steps, and optional audit logging. A dry-run mode shows what would execute without running anything.
Replaces manual multi-command sequences with a single declarative file, so steps run in order and nothing gets skipped when a condition or failure occurs.
When to use it
- Running a security scan before deploying a skill update
- Scheduling daily scans across all installed skills
- Chaining a diff check with a conditional deploy step
- Validating and logging skill installs for a compliance record
- Previewing a multi-step workflow before committing to execution
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: run the secure-deploy workflow for my-skill
- 1Loads workflow.yaml defining scan, deploy, and log steps
- 2Runs skill-scanner against the skill path and saves output to a variable
- 3Checks saved scan output for a CRITICAL verdict before proceeding
- 4Executes deploy step if condition passes, aborts if not
- 5Logs the completed workflow action via compliance-audit
Skill deployed and audit entry written, or workflow aborted with a logged reason