← Back to Skills Marketplace
Ai Automation Workflows
by
Ömer Karışman
· GitHub ↗
· v0.1.5
4861
Downloads
1
Stars
47
Active Installs
3
Versions
Install in OpenClaw
/install ai-automation-workflows
Description
Build automated AI workflows combining multiple models and services. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools:...
Usage Guidance
Install only if you intend to build inference.sh automations. Prefer the manual or checksum-verified CLI install path, review any cron jobs you add, do not send secrets or private files to model prompts or webhooks, and redact command output before alerting to external services.
Capability Analysis
Type: OpenClaw Skill
Name: ai-automation-workflows
Version: 0.1.5
The skill bundle is classified as suspicious due to its extensive use of powerful shell scripting capabilities that introduce significant vulnerabilities, even though presented for legitimate automation. Key indicators include the `curl -fsSL ... | sh` installation method for the `inference.sh` CLI (a supply chain risk), numerous examples of direct bash command execution with variable expansion (e.g., `$(cat $file)`, `$(date ...)`) which creates a high risk of shell injection (RCE) if user input is not sanitized, and the demonstration of external network calls to arbitrary URLs (`https://your-webhook.com/alert`) and cron job setup for persistence. While these are presented as features for AI automation, their combined presence without robust input sanitization makes the skill highly susceptible to abuse for data exfiltration, arbitrary command execution, or persistence if an attacker can inject malicious input into the agent or the workflow variables, as shown in `SKILL.md`.
Capability Assessment
Purpose & Capability
The examples match the stated purpose: batch AI jobs, chained model calls, scheduled generation, logging, monitoring, Python wrappers, and webhook alerts.
Instruction Scope
Examples pass variables, command output, model output, and local file contents into prompts or webhooks, so users need to sanitize inputs and avoid using sensitive data.
Install Mechanism
The quick start uses curl-to-shell for the inference.sh CLI, but the artifact discloses this and provides a checksum/manual-install note; no hidden installer file is bundled.
Credentials
Network use, model-provider calls, local file reads, and optional webhook alerts are proportionate to AI workflow automation, but they can move local data off-host.
Persistence & Privilege
Cron examples create recurring jobs only when the user manually configures them; this is disclosed and aligned with scheduled automation.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-automation-workflows - After installation, invoke the skill by name or use
/ai-automation-workflows - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.5
ai-automation-workflows v0.1.5 changelog
- Adds comprehensive SKILL.md with clear description, usage examples, and supported automation patterns (batch, pipeline, parallel, conditional, retry/fallback).
- Provides ready-to-use Bash scripts for batch processing, scheduled/cron jobs, conditional logic, and monitoring/logging.
- Documents integration methods using inference.sh CLI, Python SDK, and webhook/error alerting.
- Includes install instructions, quick start recipe, and references to external documentation.
v0.1.1
- Expanded SKILL.md with detailed workflow patterns, examples, and scripts for common AI automation tasks.
- Added quick start guides and usage examples for batch, sequential, parallel, conditional workflows, retries, and fallbacks.
- Included cron job setup and sample scripts for scheduled automation.
- Provided templates for logging, monitoring, and error alerting in workflows.
- Added Python SDK usage sample for advanced automation pipelines.
v0.1.0
- Initial release of ai-automation-workflows.
- Provides practical guides and scripts for building automated AI workflows using the inference.sh CLI.
- Includes workflow patterns: batch processing, sequential pipelines, parallel operations, conditional logic, and retry with fallback.
- Offers setup examples for scheduled automation with cron jobs.
- Demonstrates monitoring and logging practices including error alerting.
- Features Bash scripting and Python SDK usage for content and data automation.
Metadata
Frequently Asked Questions
What is Ai Automation Workflows?
Build automated AI workflows combining multiple models and services. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools:... It is an AI Agent Skill for Claude Code / OpenClaw, with 4861 downloads so far.
How do I install Ai Automation Workflows?
Run "/install ai-automation-workflows" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ai Automation Workflows free?
Yes, Ai Automation Workflows is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Ai Automation Workflows support?
Ai Automation Workflows is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ai Automation Workflows?
It is built and maintained by Ömer Karışman (@okaris); the current version is v0.1.5.
More Skills