根据输入的职业技能标准文档，输出基于知识图谱的三层学习路径规划。适用于职业技能学习、职业资格认证学习。本技能以中国国内职业技能为目标，参考资源为国内官方资源。详细说明见 references/README.md

Things to consider before installing and running: - Missing runtime/dependency declarations: SKILL.md and scripts expect tools/libraries that are not declared in metadata. Ensure your environment provides: a suitable Python 3 runtime, PyYAML (yaml), and the pdftotext binary (poppler-utils) if you plan to process PDFs. Without these the skill may fail or behave unexpectedly. - Network access and scraping: the code actively fetches content from public Chinese sites (baike.baidu.com, osta.org.cn, openstd.samr.gov.cn, icourse163.org, etc.). Confirm you allow outbound HTTP(S) from the agent environment and consider rate limits / terms of service for those sites. - Long-running, no hard timeout: the SKILL.md states “no hard timeout” and incremental file writes and progress notifications; run it in a controlled/sandboxed environment to avoid runaway jobs or unexpected resource use. - File writes: the skill writes temporary files to /tmp and produces outputs in an output_dir; review these outputs and ensure sensitive documents are not unintentionally uploaded. - Legality/ToS: automated scraping of sites (e.g., Baidu Baike) may conflict with site terms of service—review before wide use. - Audit the scripts: although I saw no hidden external command-and-control endpoints, you should review scripts (especially truncated/omitted files) for any hardcoded or obfuscated endpoints before granting broader permissions. - If you need stricter safety: run the skill in an isolated container/VM with limited network access, install only required dependencies, and review logs/output files. If you want to prevent autonomous runs, keep model invocation controlled (disable autonomous invocation in your agent policy).

Type: OpenClaw Skill Name: learning-path-builder Version: 2.4.1 The 'learning-path-builder' skill bundle is a legitimate tool designed to generate structured learning paths from professional standard documents (PDFs). The bundle contains Python scripts (e.g., scripts/baidu_baike_extractor.py, scripts/rag_integration.py) that extract and validate information from authoritative sources such as Baidu Baike, Wikipedia, and Arxiv. The instructions in SKILL.md and README.md clearly define a multi-step workflow involving text extraction, knowledge graph construction, and multi-format output (JSON, CSV, JSON-LD). There is no evidence of malicious intent, data exfiltration, persistence mechanisms, or harmful prompt injections; all network and file operations are aligned with the stated purpose of building educational content.