Dreaming Extractor

Daily fact extraction from AI agent session history into a persistent learned.md memory file

This skill appears to do what it says: it reads your local OpenClaw agent session JSONL files, prepares a cleaned text input, and expects the agent/model to extract facts which are appended to memory/learned.md. Before installing, consider: 1) session files often contain sensitive content (credentials, private messages). Installing this skill will cause those contents to be processed by your agent/model runtime — ensure you trust the configured model provider and understand where model data is sent. 2) The provided scripts do not themselves call any external API; the factual extraction step is performed by the agent/model (so costs and data flow depend on your model configuration). 3) Review and restrict file permissions on ~/.openclaw/agents and your workspace if you do not want extracted facts persisted. 4) The budget.py enforces a $2/day hard cap in local bookkeeping, but real costs depend on your model provider billing — verify your model settings. If you are comfortable with local file reads and the agent using your configured model, the skill is coherent and reasonable to use.

Type: OpenClaw Skill Name: skill-dreaming-extractor Version: 1.0.0 The skill-dreaming-extractor is a well-structured tool designed to summarize an agent's daily session history into a persistent memory file (learned.md). It includes scripts (collect.py and budget.py) that safely handle session logs and track API costs with a configurable daily cap. The instructions in SKILL.md include specific 'Quality gates' and 'Extraction Rules' that instruct the AI agent to ignore sensitive scaffolding like tool outputs (e.g., file contents or git status), which serves as a security best practice to prevent accidental secret leakage into long-term memory. No indicators of data exfiltration, malicious execution, or unauthorized persistence were found.