Core Executing Plans

当有实施计划需要批量执行时使用，需要人工检查点

This skill appears to do what it says (batch-run plan tasks with manual checkpoints) but has a few gaps you should address before enabling it: - Expect the agent to read project files and to make commits. If you don't want code changes, run it in a forked or sandboxed repo or ensure the agent is restricted to read-only access. - The SKILL.md states a REQUIRED SUB-SKILL (core-finishing-branch) but the registry metadata does not declare that dependency — verify that sub-skill exists and is installed, or the workflow may fail. - Committing/pushing typically requires git credentials; the skill declares none. Decide how the agent will obtain and be limited in using those credentials (short-lived tokens, least privilege, audit logs). - The instructions are vague on how plans are located — confirm expected file paths or provide explicit plan artifacts to avoid accidental access to unrelated files. - If you plan to allow autonomous runs, enforce the described manual checkpoints (ensure the agent truly pauses for human confirmations) and test behavior in a safe environment first. If you cannot verify the sub-skill, credential handling, and workspace/file boundaries, treat this skill as risky and prefer manual operation or additional safeguards.

Type: OpenClaw Skill Name: ooooooooo Version: 0.1.0 The skill bundle defines a standard operational workflow for an AI agent to execute batch tasks with manual checkpoints and verification steps. The instructions in SKILL.md are focused on project management, TDD cycles, and human-in-the-loop validation, with no evidence of malicious intent, data exfiltration, or unauthorized command execution.