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Task Automation Workflows
by
engsathiago
· GitHub ↗
· v1.0.0
· MIT-0
490
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1
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Install in OpenClaw
/install task-automation-workflows
Description
Automate repetitive tasks with scripts, workflows, and schedules. Create efficient automation for file operations, data processing, API calls, and scheduled...
Usage Guidance
This skill is essentially an examples cookbook for automations; it is not malicious but has some gaps you should be aware of before using it. Things to consider before installing or running these examples: 1) Dependencies: the examples use Pillow (PIL), pandas, requests, and schedule — ensure you install and verify these packages in a controlled environment. 2) Review code: the snippets perform destructive file operations (rename/move) and write files — review and test on a safe directory or with dry‑run logic first. 3) Network calls: batch API examples will send data to endpoints; never run them against production endpoints or with real credentials until you understand what will be transmitted. 4) Scheduling: cron examples create persistent jobs; add them only after validating scripts and paths. 5) Least privilege and sandboxing: run experiments in an isolated account/container and avoid giving this skill broad filesystem or credential access. 6) If you want the skill to be safer/coherent, ask the author to: declare required packages, list any environment variables/credentials needed, add warnings about destructive operations, and provide non‑destructive example modes (dry-run).
Capability Analysis
Type: OpenClaw Skill
Name: task-automation-workflows
Version: 1.0.0
The skill bundle provides a comprehensive set of templates for task automation, including file operations, data processing, and API interactions. The code snippets in SKILL.md use standard Python libraries (os, shutil, pandas, requests) and follow best practices for error handling, logging, and idempotency. No indicators of data exfiltration, malicious execution, or prompt injection were found.
Capability Assessment
Purpose & Capability
The name/description match the content: the SKILL.md is a general-purpose automation cookbook (file ops, data processing, API calls, scheduling). However the instructions include code that imports third‑party Python packages (Pillow/PIL, pandas, requests, schedule) while the skill metadata declares no required binaries or packages. That omission is disproportionate: either the skill should declare these runtime dependencies or explicitly state it only provides examples.
Instruction Scope
The SKILL.md contains concrete code that performs filesystem modifications (os.rename, shutil.move, writing output files), long‑running schedulers (schedule loop, cron examples), and network calls (requests.post). Those are legitimate for automation, but they give the agent/runner the ability to modify local files and send data to external endpoints. The instructions do not constrain which directories or endpoints to use, nor do they warn about destructive operations or sensitive-data exfiltration risk.
Install Mechanism
No install spec is provided (instruction‑only), which is low risk in terms of supply chain. However because the examples rely on external Python packages, the lack of any declared dependency/install instructions means an operator might attempt to run snippets without providing required libraries — a usability and coherence gap.
Credentials
The skill declares no environment variables or credentials, which matches its examples that do not explicitly reference secret env vars. That said, many API examples implicitly require endpoints/keys (requests.post) and the skill does not document what secrets would be needed or how they should be provided, leaving room for accidental misconfiguration or insecure handling of credentials.
Persistence & Privilege
The skill does not request always:true, does not include install hooks, and does not claim to modify other skills or system agent configuration. Cron examples show how a user might persist a job, but persistence would be created manually by the user — the skill itself does not request elevated persistence or privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install task-automation-workflows - After installation, invoke the skill by name or use
/task-automation-workflows - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release. Automate repetitive tasks with scripts, workflows, and schedules. File operations, data processing, API calls, and scheduled jobs.
Metadata
Frequently Asked Questions
What is Task Automation Workflows?
Automate repetitive tasks with scripts, workflows, and schedules. Create efficient automation for file operations, data processing, API calls, and scheduled... It is an AI Agent Skill for Claude Code / OpenClaw, with 490 downloads so far.
How do I install Task Automation Workflows?
Run "/install task-automation-workflows" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Task Automation Workflows free?
Yes, Task Automation Workflows is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Task Automation Workflows support?
Task Automation Workflows is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Task Automation Workflows?
It is built and maintained by engsathiago (@engsathiago); the current version is v1.0.0.
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