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在 OpenClaw 中安装
/install peer-review-response-drafter
功能描述
Assist in drafting professional peer review response letters. Trigger when user mentions "reviewer comments", "response letter", "peer review", "revise and r...
安全使用建议
This skill appears coherent and limited to drafting responses. Before installing or using it, consider: 1) privacy—you will likely paste or upload unpublished manuscript text and reviewer comments, so avoid supplying sensitive or embargoed data to third parties or shared environments; 2) execution context—the included Python script runs locally in the agent environment, so review the script if you run it outside a sandbox; 3) trust—if you intend to run this in a managed/cloud agent, confirm the operator's data handling policy. If you want extra assurance, inspect the full scripts/main.py file (no network calls or credential access were found in the provided content).
功能分析
Type: OpenClaw Skill
Name: peer-review-response-drafter
Version: 1.0.0
The skill's core purpose is benign, but the `scripts/main.py` file contains a significant vulnerability. It allows arbitrary file read and write operations via the `--input` and `--output` command-line arguments (and interactive mode's save functionality) without any path sanitization or restriction. This directly contradicts the security claims in `SKILL.md` that state 'Input file paths validated (no ../ traversal)' and 'Output directory restricted to workspace'. An attacker controlling the script's arguments could exploit this to read or overwrite arbitrary files on the system, depending on the agent's permissions. There is no evidence of intentional malicious behavior, but this is a critical vulnerability.
能力评估
Purpose & Capability
Name and description (drafting peer-review responses) match the included materials (SKILL.md, templates) and the bundled script (scripts/main.py). No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md describes parsing reviewer comments, drafting responses, and tone adjustments; the instructions and parameters (interactive mode, input-file, tone, format) stay within that scope. The skill expects input text/files from the user but does not instruct reading unrelated system files or accessing external services.
Install Mechanism
No install spec is provided (instruction-only with an included helper script). This is the lowest-risk pattern; the bundled Python script and small requirements.txt are proportional to the task. There are no downloads from remote URLs or archive extraction steps.
Credentials
The skill requests no environment variables, credentials, or config paths. The requirement list is empty and the code shown contains no network calls or credential access. Input comes from user-provided files/strings, which is appropriate for this purpose.
Persistence & Privilege
Flags are default (always:false, disable-model-invocation:false). The skill does not request permanent presence or escalate privileges, nor does it modify other skills or system-wide settings.
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 peer-review-response-drafter - 安装完成后,直接呼叫该 Skill 的名称或使用
/peer-review-response-drafter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
v1.0.0
Peer Review Response Drafter — Initial release
- Drafts professional, structured response letters to academic peer reviewer comments.
- Automatically generates point-by-point responses with appropriate academic tone (diplomatic, formal, or assertive).
- Accepts a variety of input formats including pasted text, files, and structured data.
- Includes interactive and automated modes, with support for Markdown, plain text, or LaTeX output.
- Ensures responses address all reviewer comments, reference manuscript changes, and maintain a professional style.
元数据
常见问题
Peer Review Response Drafter 是什么?
Assist in drafting professional peer review response letters. Trigger when user mentions "reviewer comments", "response letter", "peer review", "revise and r... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 444 次。
如何安装 Peer Review Response Drafter?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install peer-review-response-drafter」即可一键安装,无需额外配置。
Peer Review Response Drafter 是免费的吗?
是的,Peer Review Response Drafter 完全免费(开源免费),可自由下载、安装和使用。
Peer Review Response Drafter 支持哪些平台?
Peer Review Response Drafter 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 Peer Review Response Drafter?
由 AIpoch(@aipoch-ai)开发并维护,当前版本 v1.0.0。
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