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版本数
在 OpenClaw 中安装
/install capability-evolver-pro
功能描述
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
安全使用建议
Install it only if you want an agent to analyze runtime logs. Redact credentials, tokens, personal data, and sensitive internal details before sending logs, and review recommendations before turning them into automated tasks or long-lived records.
能力评估
Purpose & Capability
The skill analyzes supplied runtime logs, computes health scores, and generates improvement recommendations; the handler implements deterministic local analysis only.
Instruction Scope
The invocation examples include broad phrases such as general health checks and agent improvement, which could cause eager routing in some agents, but they remain related to the stated diagnostics purpose.
Install Mechanism
Installation is a standard OpenClaw skill add flow, with no elevated OS permissions, package bootstrap, or credential setup shown.
Credentials
Processing production, staging, or fleet logs is proportionate for this skill, but those logs may contain secrets, personal data, stack traces, or internal operational details.
Persistence & Privilege
Examples show scheduled analysis and storing derived recommendations or metrics, but the shipped handler does not persist data, modify files, call networks, or apply code changes.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install capability-evolver-pro - 安装完成后,直接呼叫该 Skill 的名称或使用
/capability-evolver-pro触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.2
- Updated integration and usage examples to remove external service/API references, ensuring all calls run locally via agent.run.
- Revised documentation for clarity and consistency, especially in scenario examples (e.g., pre-deployment health check now uses agent.run approach).
- Improved sample code in the quickstart and integration examples for OpenClaw and LangChain agents.
- Aligned continuous improvement and monitoring recipes with fully local execution, reflecting privacy guarantees.
- No changes to underlying logic or features; documentation update only.
v1.0.1
**Switched to fully local skill — no external API or key required.**
- Runs entirely within your OpenClaw agent for complete privacy and zero external dependencies.
- Removed API key requirement and all references to pay-per-call pricing.
- Updated installation and usage instructions for instant, local execution.
- Retained all analysis and evolution features with deterministic logic, no LLMs.
- Documentation clarifies local, private, and dependency-free architecture.
v1.0.0
Major change: Complete redesign and simplification of the skill. Previous implementation and tooling removed; replaced with a pure API-based, deterministic log analyzer focused on reliability insights and improvement proposals.
- Replaced all prior code and scripts with a single handler focused on log analysis and evolution proposal generation.
- Removed 95 files including all legacy assets, evolution logic, and local automation scripts.
- Introduced deterministic, stateless operation—no external AI/model dependency.
- Requires only CLAW0X_API_KEY for API access; all local environment complexity removed.
- Clear, concise SKILL.md with usage recipes, integration examples, and transparent pay-per-call pricing.
- Supports three main actions: analyze (error patterns & root cause), evolve (improvement roadmap), and status (system health).
元数据
常见问题
Capability Evolver 是什么?
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 13968 次。
如何安装 Capability Evolver?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install capability-evolver-pro」即可一键安装,无需额外配置。
Capability Evolver 是免费的吗?
是的,Capability Evolver 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Capability Evolver 支持哪些平台?
Capability Evolver 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Capability Evolver?
由 claw0x(@kennyzir)开发并维护,当前版本 v1.0.2。
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