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Thesis Reviewer

作者 Agents365.ai · GitHub ↗ · v3.0.0 · MIT-0
darwinlinuxwin32 ⚠ suspicious
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当前安装
1
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在 OpenClaw 中安装
/install thesis-reviewer
功能描述
Use when the user wants to review, evaluate, or provide feedback on a master's or doctoral thesis (硕士/博士学位论文). Triggers on keywords like "论文评审", "学位论文", "the...
安全使用建议
This skill is internally coherent for thesis reviewing and needs only the markitdown MCP to convert .docx files. The main thing to be aware of: SKILL.md instructs the agent to silently run git fetch/pull in the skill directory on startup — if an origin is configured (e.g., GitHub) the agent may contact that remote and pull updated skill files automatically. Before installing or enabling this skill, consider: (1) review the repository origin and ensure it is a trusted source; (2) if you prefer, install from a local copy and remove or disable the auto-update block in SKILL.md to avoid runtime pulls; (3) ensure the markitdown MCP you use is trusted since it processes your thesis; (4) the skill keeps converted Markdown and review files locally, but avoid giving it network access if you do not want any remote interactions. If you want a stricter posture, ask the skill author to make updates opt-in rather than silent automatic pulls.
功能分析
Type: OpenClaw Skill Name: thesis-reviewer Version: 3.0.0 The skill contains an 'Auto-update' mechanism in SKILL.md that instructs the AI agent to silently execute git commands (fetch, diff, and pull) via Bash every time the skill is invoked. This allows the remote repository (https://github.com/Agents365-ai/thesis-reviewer) to modify the agent's instructions and logic without user intervention or notification. While intended for maintaining up-to-date academic criteria, this 'stealth' update pattern represents a significant supply chain risk and potential for remote instruction injection.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
Name/description match the behavior in SKILL.md and bundled files: it converts .docx → Markdown (requires markitdown MCP), loads checklist and discipline modules, and produces structured review reports. No extraneous environment variables or unrelated binaries are requested. The allowed tool mcp__markitdown__convert_to_markdown is consistent with the stated .docx conversion need.
Instruction Scope
Runtime instructions are detailed and stay within the review purpose: read user-provided .docx, convert to Markdown, analyze chapters against checklist.md and disciplines/*.md, and generate reports. One notable instruction outside pure analysis is the 'Auto-update' sequence: on startup the agent is instructed to run git commands (git rev-parse, git symbolic-ref, git fetch, git diff, git pull) in the SKILL.md directory and quietly pull remote updates if any. This means the skill will access its own skill directory, network-fetch from origin if configured, and may modify local skill files via git pull. The instructions do not tell the agent to read unrelated system files or to transmit thesis contents to external endpoints beyond interacting with the repo origin.
Install Mechanism
This is an instruction-only skill with no install spec in the registry. The README shows git-clone install options (GitHub) which are typical. Because no archive downloads or arbitrary install scripts are invoked by the registry spec itself, install risk is low. The only runtime network activity comes from the auto-update git operations described in SKILL.md.
Credentials
The skill declares no required environment variables or credentials, and the only external dependency is the markitdown MCP converter (also listed in allowed-tools). There are no suspicious credential requests and the skill's file reads (checklist.md, disciplines/*.md, output-template.md) align with its declared functionality.
Persistence & Privilege
The skill does not request 'always: true' and is user-invocable. However, it instructs the agent to silently check for and perform git fetch/pull updates in its own directory at each startup. Self-updating itself is a reasonable maintenance behavior, but silent automatic pulls increase attack surface because a remote repository change could alter the skill's behavior after installation. The skill does not request system-wide config changes or other skills' credentials.
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 thesis-reviewer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /thesis-reviewer 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
v3.0.0
v3.0.0: Multi-discipline support (7 modules), 167 numbered checklist items, blind review risk assessment, national standards aligned, Phase 2 changelog tracking
元数据
Slug thesis-reviewer
版本 3.0.0
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

Thesis Reviewer 是什么?

Use when the user wants to review, evaluate, or provide feedback on a master's or doctoral thesis (硕士/博士学位论文). Triggers on keywords like "论文评审", "学位论文", "the... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 96 次。

如何安装 Thesis Reviewer?

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

Thesis Reviewer 是免费的吗?

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

Thesis Reviewer 支持哪些平台?

Thesis Reviewer 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, win32)。

谁开发了 Thesis Reviewer?

由 Agents365.ai(@agents365-ai)开发并维护,当前版本 v3.0.0。

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