📦 Autonomous Agent — 智能体

v1.0.0

具备自驱能力的 AI 自主智能体框架,集成感知、判断、执行与反思四层架构,可独立完成复杂任务循环并持续自我优化。

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socneo 头像by @socneo·MIT
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License
MIT
最后更新
2026/3/21
0
安全扫描
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OpenClaw
可疑
medium confidence
NULL
评估建议
This skill implements a full autonomous agent that can watch file paths, monitor other skills, collect user interaction and system metrics, and store memories. Before installing or enabling autonomous operation: 1) Review the remaining/truncated source files (especially package_skill.py, any storage backend implementations, and any networking code) for outbound network calls, hardcoded endpoints, or export logic. 2) Check default config (autonomous_config.yaml) to see which file paths and event ...
详细分析 ▾
用途与能力
The name/description (autonomous agent) aligns with the included Python modules (perception, judgment, execution, reflection). The presence of code files implementing file watchers, skill-usage tracking, system metrics and a memory system is coherent with the stated purpose. However the SKILL.md claims instruction-only install but many code files are present — not a security flaw by itself, but it increases the runtime surface to audit.
指令范围
SKILL.md and the code explicitly instruct/implement monitoring of file system, skill usage, and user activity and refer to 'event-sources all' and persistent memory. That scope allows reading and recording of arbitrary paths and user interactions. The instructions are high-level (enable event sources, start agent) which gives the agent wide discretion to collect system state unless constrained by configuration; this is scope creep compared to a narrow helper skill.
安装机制
There is no install spec (lowest install risk) and no declared external downloads. That reduces supply-chain risk. Nonetheless, the package contains many executable Python modules — these will run when the skill is used, so the absence of a network install step does not eliminate runtime risk.
凭证需求
The skill requests no environment variables or external credentials in registry metadata. The code uses local system APIs (os, psutil) and reads files/paths configured at runtime. There are no declared secrets requirements, which is proportionate; still, ability to monitor arbitrary files is sensitive even without explicit credentials.
持久化与权限
The skill is not marked always:true (good), but it implements a memory system and references storage backend selection and retention periods. Some memory layers are 'permanent' by design. Because persistent storage/backends and any network/export logic are in the omitted/truncated files, there's risk the skill could write sensitive data to disk or external services. Treat persistent memory and any packaging/telemetry code (e.g., package_skill.py) as higher-privilege features that must be audited.
安全有层次,运行前请审查代码。

License

MIT

可自由使用、修改和再分发,需保留版权声明。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/3/21

NULL

无害

安装命令

点击复制
官方npx clawhub@latest install socneo-autonomous-agent
镜像加速npx clawhub@latest install socneo-autonomous-agent --registry https://cn.longxiaskill.com
数据来源ClawHub ↗ · 中文优化:龙虾技能库