Dream Journal

梦境记录、学习与分析工具。当用户提及梦境相关内容时，自动提取并学习新的梦境意象，进行文学化修饰后按日期记录。支持意象库自动扩充、关键词搜索、统计分析。从零开始，越用越懂你的梦。

Key things to check before installing: - Clarify the LLM claim: SKILL.md says it uses an LLM for classification but the script contains only local regex/rule logic and makes no network calls — ask the author whether an external model is intended and how it would be invoked. - Review data persistence: the script writes user data to /root/.openclaw/workspace/memory (dream_imagery_db.json, user_imagery.json, dream_imagery_base.json). Confirm that path is acceptable, that you are comfortable with persistent storage of personal/psychological content there, and whether the agent will create dreams.md and dream_stats.json as the docs promise. - Portability & permissions: the hard-coded /root path assumes root access and may behave unexpectedly in non-root or multi-user environments; consider running the skill in an isolated container or changing the path to a user-scoped folder. - Privacy: no network calls or credential requests are present in the visible code (good), but verify there are no hidden/updated versions that would add external endpoints. If you need strict privacy, audit or sandbox the script before use. - Functional testing: run the script in a non-production environment to confirm which files are created, how triggers are handled by your agent runtime, and whether any additional behavior occurs when the agent invokes it autonomously.

Type: OpenClaw Skill Name: oc-dream-journal Version: 1.1.1 The 'oc-dream-journal' skill is a legitimate tool for recording and analyzing dreams. The core logic in 'scripts/record_dream.py' uses standard Python libraries to perform text extraction, keyword categorization, and local file management within the designated workspace (/root/.openclaw/workspace/memory/). There are no indicators of data exfiltration, network activity, shell execution, or malicious prompt injection.