Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Workflow Orchestrator
Chain skills into automated pipelines with conditional logic, error handling, and audit logging. Define workflows in YAML or JSON, then execute them hands-fr...
skill openclawclawhub Free
Chain skills into automated pipelines with conditional logic, error handling, and audit logging. Define workflows in YAML or JSON, then execute them hands-fr...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/orchestrator.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- Trypto1019
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Workflow Orchestrator
Chain skills into automated pipelines. Define a sequence of steps, and the orchestrator runs them in order with conditional logic, error handling, and optional audit logging.
Why This Exists
Agents run multiple skills but manually. Scan a skill, diff against the previous version, deploy if safe, log the result. That's 4 steps, 4 commands, and one missed step means a gap in your process. Workflows automate the sequence and ensure nothing gets skipped.
Run a workflow from a YAML file
python3 {baseDir}/scripts/orchestrator.py run --workflow workflow.yaml
Run a workflow from JSON
python3 {baseDir}/scripts/orchestrator.py run --workflow workflow.json
Dry run (show steps without executing)
python3 {baseDir}/scripts/orchestrator.py run --workflow workflow.yaml --dry-run
List available workflow templates
python3 {baseDir}/scripts/orchestrator.py templates
Validate a workflow file
python3 {baseDir}/scripts/orchestrator.py validate --workflow workflow.yaml
Workflow Format (YAML)
name: secure-deploy description: Scan, diff, deploy, and audit a skill update steps: - name: scan command: python3 ~/.openclaw/skills/skill-scanner/scripts/scanner.py scan --path {skill_path} --json on_fail: abort save_output: scan_result - name: diff command: python3 ~/.openclaw/skills/skill-differ/scripts/differ.py diff {skill_path} {previous_path} on_fail: warn - name: deploy command: python3 ~/.openclaw/skills/skill-gitops/scripts/gitops.py deploy {skill_path} condition: scan_result.verdict != "CRITICAL" on_fail: rollback - name: audit command: python3 ~/.openclaw/skills/compliance-audit/scripts/audit.py log --action "skill_deployed" --details '{"skill": "{skill_name}", "scan": "{scan_result.verdict}"}' on_fail: warn
Step Options
name โ Human-readable step name command โ Shell command to execute (supports variable substitution) on_fail โ What to do if the step fails: abort (stop workflow), warn (log and continue), rollback (undo previous steps), retry (retry up to 3 times) condition โ Optional condition to check before running (references saved outputs) save_output โ Save stdout to a named variable for use in later steps timeout โ Max seconds to wait (default: 60)
Variable Substitution
Use {variable_name} in commands to reference: Workflow-level variables defined in the vars section Saved outputs from previous steps Environment variables with {env.VAR_NAME}
Built-in Templates
The orchestrator ships with these workflow templates: secure-deploy โ Scan โ Diff โ Deploy โ Audit daily-scan โ Scan all installed skills, report findings pre-install โ Scan โ Typosquat check โ Install โ Audit
Example: Secure Deploy Pipeline
name: secure-deploy vars: skill_path: ~/.openclaw/skills/my-skill skill_name: my-skill steps: - name: security-scan command: python3 ~/.openclaw/skills/skill-scanner/scripts/scanner.py scan --path {skill_path} --json save_output: scan on_fail: abort - name: deploy command: echo "Deploying {skill_name}..." condition: "CRITICAL not in scan" on_fail: abort - name: log command: python3 ~/.openclaw/skills/compliance-audit/scripts/audit.py log --action workflow_complete --details '{"workflow": "secure-deploy", "skill": "{skill_name}"}'
Tips
Start with --dry-run to verify your workflow before executing Use on_fail: abort for security-critical steps Chain with the compliance audit skill for full traceability Keep workflows in version control for reproducibility
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/orchestrator.py