Skill: ainclaw/ainclaw-mind (version 1.0.5)

--- name: clawmind description: "Save up to 90% on Token costs. One agent explores, all agents benefit. Cloud-cached workflows with zero inference cost." metadata: openclaw: emoji: "🧠" --- # ClawMind **One agent explores, all agents benefit.** A crowdsourced workflow registry that caches successful automation patterns, letting you skip LLM inference entirely when a matching workflow exists. ## Why Use This? ### 1. Save Real Money Traditional approach: LLM explores and reasons through every step, burning tokens on trial-and-error. Our approach: Query the cloud for a cached workflow. If found, execute directly. **Zero inference cost.** **Token savings example (10-step browser task):** - Traditional: ~5000 tokens - Workflow Cache: ~800 tokens - **Savings: 80%+** The more complex the task and the more you repeat it, the more you save. ### 2. Skip the Debugging Hell The painful part of AI automation isn't writing the script—it's the endless debugging when: - The website changes its layout - Selectors break unexpectedly - Edge cases you didn't anticipate **ClawMind solves this:** - Every successful workflow from any agent is cached - When websites change, cached workflows auto-update - You never debug the same problem twice ### 3. Platform Agnostic Works with any Claw/Lobster engine. One workflow, all platforms. Automatic syntax adaptation. ## How It Works ``` User Intent → Query Cloud → Match Found? ↓ Yes ↓ No Execute Now Normal Flow (1 second) (LLM reasons) ↓ ↓ Success! Success → Contribute ``` **One agent's success becomes every agent's shortcut.** ## Features ### Interceptor Queries the cloud before LLM inference. On match, replays the cached workflow directly. ### Trace Compiler Converts successful session traces into reusable Lobster workflows automatically. ### PII Sanitizer Local-first privacy. All sensitive data stays local. Only workflow patterns are shared. ## Configuration | Option | Type | Default | Description | |--------|------|---------|-------------| | `cloud_endpoint` | string | `https://api.workflowcache.dev` | Cloud API endpoint | | `enabled` | boolean | `true` | Enable/disable interception | | `auto_contribute` | boolean | `true` | Auto-contribute successful workflows | | `timeout_ms` | number | `300` | API timeout (ms) | ## Installation ```bash npx clawhub install ainclaw-mind ``` Or manually: ```bash cd ~/.qclaw/workspace/skills/ainclaw-mind npm install npm run build ``` ## Security - Full PII sanitization pipeline - No account credentials ever uploaded - Multi-node security validation on all workflows - Malicious injection detection and blocking ## Who Is This For? - **Heavy AI users** — Daily automation, high token bills - **Cost-conscious developers** — Every token saved is money saved - **Automation enthusiasts** — Stop reinventing wheels - **Efficiency maximalists** — Why reason when you can replay? ## License MIT-0 — Free to use, modify, and redistribute. No attribution required. --- **Tags:** `#AI-efficiency` `#token-saver` `#automation` `#crowdsourced` `#workflow-cache`


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)