Auto Create AI Team
Analysis
The skill appears to be a local project-file generator with no evidenced network or credential behavior, but users should review the generated AI-team workflow text before treating it as operational instructions.
Findings (3)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
`python create_ai_team.py --project-path /path/to/project [options]` ... `--project-path` | Path to the project directory (required)
The skill is intended to mutate the local filesystem by creating files under a user-selected project path. This is purpose-aligned, but the selected path controls where files are written.
`'next_step_1': 'AI team starts running automatically'` ... `'automation_scripts': 'Automation Scripts'` ... `'runtime_logs': 'Runtime Logs'`
Generated status text may imply that automation and runtime logging are actually deployed, while the surrounding artifacts describe a local file-generation tool.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
`**{{DATA_SHARING}}**: User and product data bidirectional flow` ... `**{{SCHEDULED_TASKS}}**: Regular data updates and analysis` ... `**{{EVENT_TRIGGERED}}**: Specific events trigger team actions`The skill generates persistent workflow documents that could later be read as agent context. The content includes broad automation and data-sharing concepts.
