Task Orchestrator

Intelligent task management and execution coordination officer. Automatically generates task lists, intelligently decomposes complex tasks, matches AI agents...

This skill appears coherent and self-contained: the scripts operate on local JSON task files and do not contact external endpoints or request credentials. Before installing or running it, consider these practical precautions: - Review the code locally (you already have full source) and run it in a sandbox or container if you are cautious. - Be aware progress_monitor.py will overwrite the tasks JSON you point it at (it saves changes in place). Back up any important files before using the update action. - The 'agent' names in references are placeholders for matching — they do not automatically call external agent services. If you adapt the skill to invoke external agents, you'll need to add credentials and networking; re-review for new risks then. - If you plan to run these scripts on shared or production hosts, run them with a dedicated working directory to avoid accidental modification of other files. No red flags were found in the included code or SKILL.md; confidence is high because all behavior is visible in the bundled source and it does not perform network I/O or request secrets.

Type: OpenClaw Skill Name: task-orchestrator Version: 1.0.0 The 'task-orchestrator' skill bundle is a legitimate tool for decomposing complex goals into structured task trees and managing their execution. The included Python scripts (task_decomposer.py, priority_calculator.py, and progress_monitor.py) perform standard JSON processing and logic for task sorting and status tracking without any dangerous system calls, network activity, or obfuscation. The SKILL.md instructions are well-aligned with the stated purpose and do not contain any prompt-injection attempts or malicious directives.