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Skill Evolver

作者 pagoda111king · GitHub ↗ · v0.3.0 · MIT-0
cross-platform ⚠ suspicious
118
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install skill-evolver-v2
功能描述
Use this skill when evolving skills and extracting patterns from execution data. Provides automatic feedback collection, AI suggestion generation, impact tra...
安全使用建议
This skill looks like a plausible 'meta' tool, but there are red flags you should resolve before installing: - Ask the author for the missing source code (src/*) that SKILL.md and package.json reference. Without it you can't verify what will run. - Clarify what event stream/logs the skill will access and how: which platform API, file paths, or hooks? The manifest currently declares no credentials or config paths which is inconsistent with its claims. - Confirm exactly what the skill will do with Read/Write/Bash/Exec tools. Request a minimal permission list and explicit commands or endpoints. If it needs shell access, prefer running it in an isolated sandbox/container. - Ask how data is stored/encrypted locally and where keys are kept. If the skill processes sensitive user data, require documented encryption and retention policies (and proof in code). - Do not grant system-level or cloud credentials until you review the implementation. If possible, run the skill in a test account or sandbox first and monitor file/system/network activity. If the author can't provide the missing code or concrete integration details, treat the package as incomplete and avoid installing it on production systems.
功能分析
Type: OpenClaw Skill Name: skill-evolver-v2 Version: 0.3.0 The skill-evolver bundle describes a 'meta-skill' designed to monitor, analyze, and modify other skills through a 'Hook system' and 'Event-driven architecture.' It requests high-privilege tools (Bash, Exec) and explicitly states it captures inputs and outputs of other skill executions (SKILL.md, CLAWHUB-UPLOAD.md). While the documentation claims data is stored locally, the capability to intercept and record all agent-skill interactions represents a significant surveillance and privacy risk, especially as the core implementation code for the monitoring logic is not provided for review.
能力评估
Purpose & Capability
The README and SKILL.md describe an event-driven hook system that captures skill calls, stores/encrypts data locally, runs A/B tests, and reference runtime code (e.g., './src/event-bus', ReportFactory). However the package contains no src/ code files. The skill declares no required env vars or config paths even though it claims to access execution logs and perform local encryption/private deployment. That mismatch (describing a backend that would need platform hooks, storage, or credentials but not declaring any) is incoherent.
Instruction Scope
The SKILL.md header lists tools ['Read','Write','Bash','Exec'], and the prose instructs the agent to collect past execution data, subscribe to events, and run code examples. But it doesn't specify where to get event streams or logs, nor provide the referenced implementation. The instructions are high‑level and give the agent broad discretion (e.g., 'collect past 7 days feedback', 'auto-create A/B tests'), which could require reading files, invoking shell commands, or calling external endpoints—actions not constrained or justified in the doc.
Install Mechanism
This is instruction-only (no install spec), which is lower risk. However package.json and many code snippets reference a src/ directory and modules that are not present in the package. That inconsistency suggests either incomplete packaging or missing implementation — something to clarify before trusting the skill.
Credentials
The skill requests no environment variables or credentials in the manifest, yet claims capabilities (event hooks, local encrypted storage, private deployment, A/B test traffic control) that normally require platform integration, storage access, or credentials. Also the declared agent tools (Read/Write/Bash/Exec) allow file and shell access; using them is not justified by the manifest and expands the attack surface.
Persistence & Privilege
always is false (good). The skill is allowed to invoke autonomously (default) and the SKILL.md implies it will subscribe to events and store data locally — this is not inherently invalid, but autonomous invocation combined with the ability to run shell commands and read/write files increases risk if permissions/data sources are unclear. The skill does not explicitly request modifying other skills or system configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install skill-evolver-v2
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /skill-evolver-v2 触发
  4. 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
v0.3.0
skill-evolver v0.3.0 - Improved description and documentation for feedback collection, pattern extraction, AI suggestion generation, impact tracking, and A/B testing. - Clarified use cases for skill optimization, evolution, validation, feedback collection, A/B testing, pattern extraction, and confidence estimation. - Added detailed FAQ and updated pricing plans for personal, business, and enterprise editions. - Expanded explanation of core value and applicable scenarios to highlight continuous skill improvement and reduced maintenance. - Provided summary table of features for each pricing tier.
元数据
Slug skill-evolver-v2
版本 0.3.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Skill Evolver 是什么?

Use this skill when evolving skills and extracting patterns from execution data. Provides automatic feedback collection, AI suggestion generation, impact tra... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 118 次。

如何安装 Skill Evolver?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install skill-evolver-v2」即可一键安装,无需额外配置。

Skill Evolver 是免费的吗?

是的,Skill Evolver 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Skill Evolver 支持哪些平台?

Skill 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 Skill Evolver?

由 pagoda111king(@pagoda111king)开发并维护,当前版本 v0.3.0。

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