Batch

Process multiple items with progress tracking, checkpointing, and failure recovery.

This skill is coherent and focused on batch processing, but before using it: run the recommended dry run on a small sample; review any destructive steps carefully (it explicitly prompts for confirmation for deletes); ensure backups exist for any data the batch will modify; verify that saving checkpoints/failures to /tmp is acceptable in your environment; and if you enable delegation to sub-agents, confirm you trust the agent's autonomy and the mechanism it will use (the docs mention delegation but don't specify transport or endpoints).

Type: OpenClaw Skill Name: batch Version: 1.0.0 The skill bundle describes a robust batch processing mechanism with features like progress tracking, checkpointing, error handling with retries, partial failure recovery, and rollback for destructive operations. All instructions to the AI agent in SKILL.md, errors.md, and strategies.md are operational and align with the stated purpose of processing multiple items. While the agent is instructed to perform file operations (e.g., saving temporary files, potentially deleting/modifying files with confirmation and rollback) and API calls, these are necessary capabilities for its function. There is no evidence of intentional malicious behavior such as data exfiltration, unauthorized remote control, persistence, or prompt injection designed to subvert the agent's core purpose.