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ZeeLin Academic Paper
作者
dongjiangliu9-tech
· GitHub ↗
· v1.0.1
636
总下载
1
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4
当前安装
2
版本数
在 OpenClaw 中安装
/install zeelin-academic-paper
功能描述
高校硕博研究生必备，理工科论文 AI 全流程创作助手：自动生成论文标题、大纲、引言、综述、论证、结果分析和结论，保持学术严谨性和逻辑一致性，支持自定义章节数量 - Powered by ZeeLin
安全使用建议
This skill is coherent for generating structured academic drafts from user-provided references and local templates, but pay attention to two practical risks before installing or using it: 1) Privacy / data location: the skill repeatedly claims "fully local / no external API calls." In practice, the agent that executes these instructions will use whatever LLM backend your OpenClaw environment is configured with (e.g., OpenAI). If that backend is a cloud service, content you send to the skill (reference text, drafts) may be transmitted to that service. If you require guaranteed on-device processing, verify your OpenClaw instance is running a local model and confirm model invocation does not go to external providers. 2) Academic-integrity risk: templates ask the model to produce simulated data and long, detailed sections; the skill warns users to verify and replace simulated data. Do not rely on generated data or unverified citations for real submissions — always human-review, verify references, and ensure compliance with your institution’s rules. Additional practical checks: review workspace file permissions for the skill's directory, confirm no unexpected network access from your environment, and test with non-sensitive sample input first.
功能分析
Type: OpenClaw Skill
Name: zeelin-academic-paper
Version: 1.0.1
The skill is designed for local academic paper generation, explicitly stating '无外部 API 调用' (no external API calls) and '无数据泄露风险' (no data leakage risk) across SKILL.md, PRIVACY.md, and README.md. The required 'file-system' capability is justified for reading local prompt templates (references/prompts_zh.md) and storing generated papers in the OpenClaw workspace. All prompt templates focus on content generation without any instructions for malicious execution, data exfiltration, or persistence mechanisms. There is no evidence of intentional harmful behavior or malicious prompt injection instructions within the skill's own files.
能力评估
Purpose & Capability
Name/description (academic paper generator) lines up with the declared requirement (file-system capability) and the content of SKILL.md and templates. The skill only needs local templates and user-provided references — those needs are proportionate. However, the SKILL.md and PRIVACY.md repeatedly assert "完全本地化 / 无外部 API 调用," which may be misleading because the skill is an instruction set for an LLM-driven agent (agents/openai.yaml exists). Unless the host is running a local model, model invocation will go to an external service, so the "fully local" claim is not verifiably true from the skill alone.
Instruction Scope
Runtime instructions are narrowly scoped: read local template references/prompts_zh.md and solicit user reference material, then generate structured sections. The instructions do not direct the agent to read unrelated system files, environment variables, or send data to external endpoints. Two notes: (1) templates explicitly instruct generating synthetic data/tables — this carries an integrity risk (fabricated data) and the skill warns the user, and (2) the workflow expects the platform LLM to produce long-form content, which implies model invocation even though the SKILL.md claims no external calls.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute. This is low-risk from an installation perspective — nothing is downloaded or written by an installer.
Credentials
No environment variables, credentials, or external config paths are requested. The single declared capability is file-system access (to read templates), which is appropriate for a template-driven generator.
Persistence & Privilege
Default privileges (always: false, user-invocable, model invocation allowed). The skill does not request permanent presence or modify other skills. No elevated privileges are declared.
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 zeelin-academic-paper - 安装完成后，直接呼叫该 Skill 的名称或使用
/zeelin-academic-paper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
v1.0.1
📝 更新技能描述，增加'高校硕博研究生必备'前缀，明确目标用户群体
v1.0.0
🎉 初始版本发布：理工科论文 AI 全流程创作助手，支持自动生成标题、大纲、引言、综述、论证、结果分析和结论，完全本地化运行，保护学术数据隐私
元数据
常见问题
ZeeLin Academic Paper 是什么？
高校硕博研究生必备，理工科论文 AI 全流程创作助手：自动生成论文标题、大纲、引言、综述、论证、结果分析和结论，保持学术严谨性和逻辑一致性，支持自定义章节数量 - Powered by ZeeLin. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 636 次。
如何安装 ZeeLin Academic Paper？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install zeelin-academic-paper」即可一键安装，无需额外配置。
ZeeLin Academic Paper 是免费的吗？
是的，ZeeLin Academic Paper 完全免费（开源免费），可自由下载、安装和使用。
ZeeLin Academic Paper 支持哪些平台？
ZeeLin Academic Paper 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 ZeeLin Academic Paper？
由 dongjiangliu9-tech（@dongjiangliu9-tech）开发并维护，当前版本 v1.0.1。
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