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Vision-Action-Evolution Loop
作者
KingOfZhao
· GitHub ↗
· v1.0.0
· MIT-0
96
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install vision-action-evolution-loop
功能描述
视觉-动作-进化闭环框架 —— 将感知、规划、执行、评估、进化五阶段融合为自迭代认知循环
安全使用建议
This skill appears to be documentation for a runnable vision→action→evolution framework, but the package contains only markdown and no executable code or declared dependencies. Before installing or enabling it: 1) Ask the publisher for the missing implementation (the Python module and any model/artifact files) or a verified clawhub package URL. 2) Verify what runtime dependencies it needs (OpenCV, specific model files, robot drivers) and whether those will be installed from trusted sources. 3) Confirm whether the skill will perform network access (arXiv queries, model downloads) and whether that's acceptable. 4) If you test it, run it in a restricted environment (no access to sensitive files, no robot hardware attached, network limited) until you can review the actual code. The current mismatch (docs claiming an API that doesn't exist in the bundle) is the primary reason to treat this skill as suspicious rather than benign.
能力评估
Purpose & Capability
The name/description describe a runnable 5-stage vision→action→evolve pipeline (with a Python class and methods such as VisionActionEvolutionLoop.run_cycle and inject_feedback). However the published bundle contains only markdown docs and no implementation files or binaries. The skill also references OpenCV, VLA models, and robotic execution — none of which are declared as required binaries, packages, or environment variables. That mismatch (claims of executable functionality without any shipped implementation or declared dependencies) is incoherent.
Instruction Scope
SKILL.md gives concrete runtime examples (importing from skills.vision_action_evolution_loop, calling run_cycle, heartbeat tasks that check images and arXiv). The instructions do not ask for unrelated secrets or system credentials, but they assume access to local files (images/workspace), other skills (diepre-vision-cognition, self-evolution-cognition), network access for arXiv queries, and robotic hardware drivers. Because the module to be imported is absent, it's unclear what code would actually execute; that ambiguity grants the agent broad discretion unless clarified.
Install Mechanism
There is no install spec (instruction-only). That's lower risk than arbitrary downloads. The README suggests 'clawhub install' or copying into ~/.openclaw/skills/, but no install script or binary download is included. The absence of an install step means nothing new is written by the bundle itself — but it also means the declared functionality is not present in the package.
Credentials
The skill declares no required environment variables or credentials (good), but its runtime docs reference components that typically require system libraries, model files, or service access (OpenCV, VLA models, robot drivers, and network access to arXiv). Those required resources are not declared, so the bundle is under-specified: either it relies on other installed skills/systems or it expects the agent to fetch/install them dynamically. That lack of explicit dependency/credential declaration is disproportionate to the claimed capabilities.
Persistence & Privilege
The skill has always:false and default autonomy settings; it does not request persistent or elevated platform privileges in metadata. However HEARTBEAT.md describes periodic heartbeats and automated checks (search arXiv, process new images), which imply background activity if implemented. Because no implementation is provided, it's unclear whether and how such periodic behavior would be scheduled — a potential concern if a future implementation added autonomous background tasks.
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 vision-action-evolution-loop - 安装完成后，直接呼叫该 Skill 的名称或使用
/vision-action-evolution-loop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
v1.0.0
Skill工厂第1个自动生成: 五阶段闭环(Perceive→Plan→Execute→Evaluate→Evolve), 三阶段桥接, 工具增强策略
元数据
常见问题
Vision-Action-Evolution Loop 是什么？
视觉-动作-进化闭环框架 —— 将感知、规划、执行、评估、进化五阶段融合为自迭代认知循环. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 96 次。
如何安装 Vision-Action-Evolution Loop？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install vision-action-evolution-loop」即可一键安装，无需额外配置。
Vision-Action-Evolution Loop 是免费的吗？
是的，Vision-Action-Evolution Loop 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Vision-Action-Evolution Loop 支持哪些平台？
Vision-Action-Evolution Loop 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 Vision-Action-Evolution Loop？
由 KingOfZhao（@kingofzhao）开发并维护，当前版本 v1.0.0。
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