Audit OpenClaw workspace markdown files for token bloat and security gaps.
npx skills add https://github.com/win4r/openclaw-workspace --skill openclaw-workspace
Please help me install this Agent Skill. Skill: openclaw-workspace Source: https://github.com/win4r/openclaw-workspace/tree/main Command: npx skills add https://github.com/win4r/openclaw-workspace --skill openclaw-workspace
OpenClaw agents rely on a set of markdown workspace files to define their identity, behavior, memory, and operational rules, but unmanaged workspaces quickly suffer from bloat, redundant content, stale entries, and missing security gates — wasting tokens on every turn, creating contradictory behavior, and risking private memory leaks in group chats.
Use the openclaw-workspace skill to audit my OpenClaw workspace files for token bloat, redundancy, and security gaps, then propose targeted edits to reduce my per-turn token usage.
High-intent search queries and answers about installing and using this skill.
To reduce token waste in OpenClaw agent workspace files, you need to audit them for character count bloat and redundant content. This skill scans your workspace to eliminate redundancy and enforces a strict 20,000 character limit per file to optimize per-turn token usage.
Your agent shares private user context in group chats because of missing security gating for private memory files. This skill identifies missing MEMORY.md gating in your AGENTS.md boot sequence and implements mandatory security gates to prevent private memory leakage risks.
The best way to set up a new OpenClaw agent workspace is to establish a minimal viable file set with the correct file order and boot sequence configuration. This skill guides you through creating a fully functional, secure workspace from scratch while adhering to bootstrap file token budgets.
To distill daily session logs into curated long-term memory, you process recurring lessons and iron-law rules into a lean MEMORY.md file. This skill promotes valuable entries while archiving old logs to free up your token budget and maintain a clean memory structure.
The token budget limits for an OpenClaw workspace are 20,000 characters per individual file and 150,000 characters across all bootstrap files. This skill enforces these standardized limits to prevent workspace bloat and ensure efficient agent operation.
To audit existing agent workspaces for stale entries and deprecated rules, you scan all workspace files for old SSH hosts and outdated rules. This skill detects staleness and proposes targeted edits to clean up contradictory behavior and reduce token waste.
JansenAnalyticsAnalyze session logs and memory files to reveal inefficiencies and improvement opportunities.
0xb11aProvision and deploy OpenClaw agents across Docker or Bare-Metal paths.
pingshian0131Resets OpenClaw agent conversation sessions via gateway commands with optional agent filtering.
pablontivAudit and optimize AI context files to reduce token waste.
