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Style Learner

作者 Zhang Haoyu · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
291
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1
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1
当前安装
2
版本数
在 OpenClaw 中安装
/install writing-style-learner
功能描述
Extract and save writing style patterns from technical documents to build personalized or team writing guides with structured, reusable style records.
安全使用建议
This skill appears to do what it says (extract style patterns from documents) and is low-risk as an instruction-only skill, but check the following before installing or using it: - Feishu access: The README mentions Feishu integration but the skill declares no Feishu credentials. Confirm how the agent will access Feishu documents (public links vs. private docs requiring API tokens or a connector). Do not supply credentials until you understand where and how they're used. - Data sensitivity: Extracted style profiles are saved to MEMORY.md or a team knowledge base. Avoid running the skill on documents that contain secrets or private credentials unless you trust the storage location and access controls. - Provenance: The source/homepage is unknown and the README's clone URL is a placeholder. Prefer skills with a verifiable repository or maintainer. Ask the publisher for the canonical repo and review it if possible. - Least privilege: If you must provide integration credentials, create a limited-scope token or use a read-only connector rather than full account credentials. If you want a stronger assurance, request the skill's canonical source repository and any code that would perform fetching from Feishu so you (or a security reviewer) can confirm precisely how documents are retrieved and where outputs are stored.
功能分析
Type: OpenClaw Skill Name: writing-style-learner Version: 1.0.1 The 'Style Learner' skill is designed to analyze writing patterns from documents (specifically Feishu/Lark links) and generate structured style guides. The provided files (SKILL.md, extract_style.md, README.md) contain instructions for the AI agent to extract linguistic and structural features and save them to a local 'MEMORY.md' file. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the behavior is consistent with the stated purpose of document analysis.
能力评估
Purpose & Capability
The skill's stated purpose is to extract writing style from documents (notably Feishu links). README explicitly says 'Feishu integration for document reading', but the skill declares no required environment variables or credentials for Feishu access. This is a modest incoherence: accessing private Feishu docs would normally require credentials or an integration, which the skill does not request or document.
Instruction Scope
SKILL.md and extract_style.md limit runtime behavior to analyzing documents provided by the user, producing structured style records, and saving results (MEMORY.md or a specified location). There are no instructions to read unrelated system files, exfiltrate data to unknown endpoints, or perform broad system enumeration.
Install Mechanism
There is no install spec and no code files to execute — the skill is instruction-only. README contains an optional git clone example (a generic placeholder URL), but no automated download or archive actions are specified. Instruction-only skills have lower install risk.
Credentials
The skill requires read access to the documents the user supplies and write access to MEMORY.md or a target knowledge base. It does not declare Feishu API keys or tokens even though it references Feishu document links; if the agent will fetch private Feishu docs, appropriate credentials or connectors will be needed. The lack of declared credentials is a documentation gap but not itself evidence of malicious intent.
Persistence & Privilege
Flags show the skill is not forced-always and allows normal autonomous invocation. The skill intends to write extracted profiles to MEMORY.md or another knowledge base (expected behavior). It does not request system-wide configuration changes or elevated privileges.
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 writing-style-learner
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /writing-style-learner 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
v1.0.1
- Updated usage examples to reflect a new author name ("Oldtimer" instead of "Zhang Haoyu"). - No functional or feature changes.
v1.0.0
- Initial release of writing-style-learner skill. - Analyze and extract writing style characteristics from technical and meeting documents. - Support for single or batch document processing, including team style learning. - Generates standardized style guides with details like structure, tone, vocabulary, and formatting habits. - Allows saving extracted guides to memory or a specified location for future reuse.
元数据
Slug writing-style-learner
版本 1.0.1
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 2
常见问题

Style Learner 是什么?

Extract and save writing style patterns from technical documents to build personalized or team writing guides with structured, reusable style records. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 291 次。

如何安装 Style Learner?

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

Style Learner 是免费的吗?

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

Style Learner 支持哪些平台?

Style Learner 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 Style Learner?

由 Zhang Haoyu(@oldtimerzhy)开发并维护,当前版本 v1.0.1。

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