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ZeeLin Academic Paper
by
dongjiangliu9-tech
· GitHub ↗
· v1.0.1
636
Downloads
1
Stars
4
Active Installs
2
Versions
Install in OpenClaw
/install zeelin-academic-paper
Description
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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install zeelin-academic-paper - After installation, invoke the skill by name or use
/zeelin-academic-paper - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is ZeeLin Academic Paper?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 636 downloads so far.
How do I install ZeeLin Academic Paper?
Run "/install zeelin-academic-paper" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is ZeeLin Academic Paper free?
Yes, ZeeLin Academic Paper is completely free (open-source). You can download, install and use it at no cost.
Which platforms does ZeeLin Academic Paper support?
ZeeLin Academic Paper is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created ZeeLin Academic Paper?
It is built and maintained by dongjiangliu9-tech (@dongjiangliu9-tech); the current version is v1.0.1.
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