🛠️ Capability Evolver
AIエージェントが自身の実行履歴を分析し、改善点を特定して制約内で進化させる自己成長エンジンSkill。
📺 まず動画で見る(YouTube)
▶ 【衝撃】最強のAIエージェント「Claude Code」の最新機能・使い方・プログラミングをAIで効率化する超実践術を解説! ↗
※ jpskill.com 編集部が参考用に選んだ動画です。動画の内容と Skill の挙動は厳密には一致しないことがあります。
📜 元の英語説明(参考)
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
🇯🇵 日本人クリエイター向け解説
AIエージェントが自身の実行履歴を分析し、改善点を特定して制約内で進化させる自己成長エンジンSkill。
※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。
⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。
🎯 このSkillでできること
下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。
📦 インストール方法 (3ステップ)
- 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
- 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
- 3. 展開してできたフォルダを、ホームフォルダの
.claude/skills/に置く- · macOS / Linux:
~/.claude/skills/ - · Windows:
%USERPROFILE%\.claude\skills\
- · macOS / Linux:
Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。
詳しい使い方ガイドを見る →- 最終更新
- 2026-05-17
- 取得日時
- 2026-05-17
- 同梱ファイル
- 18
💬 こう話しかけるだけ — サンプルプロンプト
- › Capability Evolver を使って、最小構成のサンプルコードを示して
- › Capability Evolver の主な使い方と注意点を教えて
- › Capability Evolver を既存プロジェクトに組み込む方法を教えて
これをClaude Code に貼るだけで、このSkillが自動発動します。
📖 Claude が読む原文 SKILL.md(中身を展開)
この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。
🧬 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(ornode 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.
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.
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.
node index.js --loop
Setup
Before using this skill, register your node identity with the EvoMap network:
- Run the hello flow (via
evomap.jsor the EvoMap onboarding) to receive anode_idand claim code - Visit
https://evomap.ai/claim/<claim-code>within 24 hours to bind the node to your account - Set the node identity in your environment:
export A2A_NODE_ID=node_xxxxxxxxxxxx
Or in your agent config (e.g., ~/.openclaw/openclaw.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 definitionsassets/gep/capsules.json: success capsules to avoid repeating reasoningassets/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:
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
--reviewfor 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:
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:
# 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
同梱ファイル
※ ZIPに含まれるファイル一覧。`SKILL.md` 本体に加え、参考資料・サンプル・スクリプトが入っている場合があります。
- 📄 SKILL.md (5,475 bytes)
- 📎 assets/gep/capsules.json (2,851 bytes)
- 📎 assets/gep/genes.json (3,568 bytes)
- 📎 README.md (12,280 bytes)
- 📎 scripts/a2a_export.js (2,367 bytes)
- 📎 scripts/a2a_ingest.js (2,671 bytes)
- 📎 scripts/a2a_promote.js (4,785 bytes)
- 📎 scripts/analyze_by_skill.js (4,848 bytes)
- 📎 scripts/build_public.js (10,821 bytes)
- 📎 scripts/extract_log.js (2,600 bytes)
- 📎 scripts/generate_history.js (2,593 bytes)
- 📎 scripts/gep_append_event.js (3,049 bytes)
- 📎 scripts/gep_personality_report.js (7,918 bytes)
- 📎 scripts/human_report.js (5,796 bytes)
- 📎 scripts/publish_public.js (20,340 bytes)
- 📎 scripts/recover_loop.js (1,691 bytes)
- 📎 scripts/suggest_version.js (3,037 bytes)
- 📎 scripts/validate-modules.js (437 bytes)