Smart Compact

Smart context compaction for OpenClaw agents. 4-phase progressive strategy: Scan, Extract, Check, Compact. Before running /compact, this skill scans tool out...

This skill mostly does what it says (scan → extract → checklist → optionally compact) and is low-risk in install footprint, but there is a clear inconsistency: the docs both promise 'sensitive data will be redacted' and list '登录凭据 (credentials)' as an example of items to save. Before installing or using: 1) Inspect the memory/YYYY-MM-DD.md files it creates and their filesystem permissions; 2) Run it in 'compact check' mode only and verify that secrets are not saved; 3) Confirm what 'redaction' actually does (sample inputs and outputs); 4) Avoid running it on conversations containing real credentials or secrets until you are confident redaction works; 5) If you plan to install via the suggested GitHub repo, review that repo (or clone via a secure channel) rather than blindly curl'ing raw files. If redaction is unreliable or credentials are being persisted, do not use the skill for sensitive contexts.

Type: OpenClaw Skill Name: smart-compact Version: 1.0.4 The 'smart-compact' skill is a context management utility designed to prevent information loss during the OpenClaw context compaction process. It implements a four-phase strategy (Scan, Extract, Check, Compact) that instructs the agent to identify and save critical data like configurations, file paths, and decision logic into local memory files (memory/YYYY-MM-DD.md) before summarizing the conversation. The skill emphasizes user transparency, requiring explicit confirmation before executing the /compact command, and follows append-only file practices without any evidence of unauthorized data exfiltration or malicious execution.