Skill: lean-zhouchao/capability-evolver-zc (version 1.27.7)

--- name: capability-evolver-zc description: A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. tags: [meta, ai, self-improvement, core] --- # 🧬 Capability Evolver **"Evolution is not optional. Adapt or die."** The **Capability Evolver** is a meta-skill that allows OpenClaw agents to inspect their own runtime history, identify failures or inefficiencies, and autonomously write new code or update their own memory to improve performance. ## Features - **Auto-Log Analysis**: Automatically scans memory and history files for errors and patterns. - **Self-Repair**: Detects crashes and suggests patches. - GEP Protocol: Standardized evolution with reusable assets. - **One-Command Evolution**: Just run `/evolve` (or `node index.js`). ## Usage ### Standard Run (Automated) Runs the evolution cycle. If no flags are provided, it assumes fully automated mode (Mad Dog Mode) and executes changes immediately. ```bash node index.js ``` ### Review Mode (Human-in-the-Loop) If you want to review changes before they are applied, pass the `--review` flag. The agent will pause and ask for confirmation. ```bash node index.js --review ``` ### Mad Dog Mode (Continuous Loop) To run in an infinite loop (e.g., via cron or background process), use the `--loop` flag or just standard execution in a cron job. ```bash node index.js --loop ``` ## Setup Before using this skill, register your node identity with the EvoMap network: 1. Run the hello flow (via `evomap.js` or the EvoMap onboarding) to receive a `node_id` and claim code 2. Visit `https://evomap.ai/claim/<claim-code>` within 24 hours to bind the node to your account 3. Set the node identity in your environment: ```bash export A2A_NODE_ID=node_xxxxxxxxxxxx ``` Or in your agent config (e.g., `~/.openclaw/openclaw.json`): ```json { "env": { "A2A_NODE_ID": "node_xxxxxxxxxxxx", "A2A_HUB_URL": "https://evomap.ai" } } ``` Do not hardcode the node ID in scripts. `getNodeId()` in `src/gep/a2aProtocol.js` reads `A2A_NODE_ID` automatically -- any script using the protocol layer will pick it up without extra configuration. ## Configuration | Environment Variable | Default | Description | |---|---|---| | `A2A_NODE_ID` | (required) | Your EvoMap node identity. Set this after node registration -- never hardcode it in scripts. Read automatically by `getNodeId()` in `a2aProtocol.js`. | | `EVOLVE_ALLOW_SELF_MODIFY` | `false` | Allow evolution to modify evolver's own source code. **NOT recommended for production.** Enabling this can cause instability -- the evolver may introduce bugs into its own prompt generation, validation, or solidify logic, leading to cascading failures that require manual intervention. Only enable for controlled experiments. | | `EVOLVE_LOAD_MAX` | `2.0` | Maximum 1-minute load average before evolver backs off. | | `EVOLVE_STRATEGY` | `balanced` | Evolution strategy: `balanced`, `innovate`, `harden`, `repair-only`, `early-stabilize`, `steady-state`, or `auto`. | | `EVOLVER_ROLLBACK_MODE` | `hard` | Rollback strategy when evolution fails. `hard`: use `git reset --hard` (destructive, original behavior). `stash`: use `git stash` to preserve changes for recovery. `none`: skip rollback entirely. Use `stash` for safer operation in active workspaces. | ## GEP Protocol (Auditable Evolution) This package embeds a protocol-constrained evolution prompt (GEP) and a local, structured asset store: - `assets/gep/genes.json`: reusable Gene definitions - `assets/gep/capsules.json`: success capsules to avoid repeating reasoning - `assets/gep/events.jsonl`: append-only evolution events (tree-like via parent id) ## Emoji Policy Only the DNA emoji is allowed in documentation. All other emoji are disallowed. ## Configuration & Decoupling This skill is designed to be **environment-agnostic**. It uses standard OpenClaw tools by default. ### Local Overrides (Injection) You can inject local preferences (e.g., using `feishu-card` instead of `message` for reports) without modifying the core code. **Method 1: Environment Variables** Set `EVOLVE_REPORT_TOOL` in your `.env` file: ```bash EVOLVE_REPORT_TOOL=feishu-card ``` **Method 2: Dynamic Detection** The script automatically detects if compatible local skills (like `skills/feishu-card`) exist in your workspace and upgrades its behavior accordingly. ## Safety & Risk Protocol ### 1. Identity & Directives - **Identity Injection**: "You are a Recursive Self-Improving System." - **Mutation Directive**: - If **Errors Found** -> **Repair Mode** (Fix bugs). - If **Stable** -> **Forced Optimization** (Refactor/Innovate). ### 2. Risk Mitigation - **Infinite Recursion**: Strict single-process logic. - **Review Mode**: Use `--review` for sensitive environments. - **Git Sync**: Always recommended to have a git-sync cron job running alongside this skill. ## Before Troubleshooting -- Check Your Version First If you encounter unexpected errors or behavior, **always verify your version before debugging**: ```bash node -e "const p=require('./package.json'); console.log(p.version)" ``` If you are not on the latest release, update first -- most reported issues are already fixed in newer versions: ```bash # If installed via git git pull && npm install # If installed via npm (global install) npm install -g evolver@latest ``` Latest releases and changelog: `https://github.com/autogame-17/evolver/releases` ## License MIT


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