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Build agents that learn from user corrections by updating and following dated rules to improve performance and reduce repeated mistakes over time.

开发与 DevOps

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.0

统计:⭐ 0 · 24 · 0 current installs · 0 all-time installs

0

安装量(当前) 0

🛡 VirusTotal:Pending · OpenClaw :可疑

Package:amdf01-debug/sw-self-improving-agent

安全扫描(ClawHub)

  • VirusTotal:Pending
  • OpenClaw :可疑

OpenClaw 评估

The skill's purpose (learning from corrections by maintaining RULES.md) is plausible, but the instructions implicitly require reading/writing workspace files and accessing external resources (calendar, projects folder, sending email) without declaring those resources or describing sanitization — that mismatch is concerning.

目的

The name/description match the SKILL.md: it aims to log corrections and evolve a RULES.md operating manual. However, the guidance expects the agent to consult a 'projects/' folder and check a calendar before suggesting times — capabilities that go beyond the stated, self-contained 'rules' purpose and are not declared as required resources.

说明范围

SKILL.md directs the agent to create, read, update, and silently scan RULES.md and to modify AGENTS.md. It also tells the agent to check calendar data and include status from a projects/ folder when referencing projects. Those are file-system and external-service actions (and could capture user corrections that contain sensitive data). The instructions use the word 'silently' for periodic scans, which grants the agent ongoing, background discr…

安装机制

This is an instruction-only skill with no install spec and no code files — low installation risk. Nothing is downloaded or written by a package installer.

证书

The skill declares no required env vars or config paths, yet it implies access to calendars, project folders, and email workflows. That mismatch means the skill expects capabilities (read/write workspace files, access to calendar/email) but doesn't declare them, so it's unclear what credentials or filesystem access will be used.

持久

While always:false, the instructions explicitly require persistent behavior: log every correction, scan RULES.md every ~10 interactions, and automatically update AGENTS.md. That grants ongoing write/read persistence in the agent environment and could produce long-lived files containing user corrections (which may include sensitive info).

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Self-Improving Agent」。简介:Build agents that learn from user corrections by updating and following dated r…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/amdf01-debug/sw-self-improving-agent/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

暂无本地缓存内容,可在后台执行详情同步。