Build a retrieval-informed chapter skeleton (`outline/chapter_skeleton.yml`) from taxonomy/core scope before stable H3 decomposition. **Trigger**: chapter sk...

This skill appears coherent and limited to generating outline/chapter_skeleton.yml from a local taxonomy and optional GOAL.md. Before running, inspect scripts/run.py and the tooling files (already included) if you want to verify behavior; run it in a workspace you control. Note it will read and write files under the provided workspace path (it also backs up/atomically writes files). No network access or credentials are required. If you need stronger assurance, run the script in a sandboxed test workspace first.

Type: OpenClaw Skill Name: chapter-skeleton Version: 1.0.0 The chapter-skeleton skill bundle is designed to generate a chapter-level outline (outline/chapter_skeleton.yml) from a taxonomy file. The core logic in scripts/run.py and the extensive utility functions in the tooling/ directory are focused on YAML/JSON processing, text normalization, and quality gate validation. The code uses standard Python libraries and follows the expected OpenClaw architecture, including a runner (tooling/executor.py) that uses subprocess.run to execute local scripts. There are no indicators of malicious behavior such as network exfiltration, unauthorized file access, persistence mechanisms, or prompt injection. The behavior is transparent and strictly aligned with the stated purpose of stabilizing chapter structures in a research pipeline.