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在 OpenClaw 中安装
/install recommendation-letter-assistant
功能描述
Helps faculty and mentors draft standardized recommendation letters for.
安全使用建议
This package is small and internally coherent, but before installing or using it: 1) review scripts/main.py locally and run it in a sandboxed environment to confirm behavior; 2) avoid pasting sensitive applicant data into untrusted environments—test with dummy names first; 3) note the SKILL.md mentions CONFIG blocks and file IO protections that the script doesn't implement, so if you plan to extend the skill to read/write real files, add proper path validation and sandboxing; 4) if you rely on this in production, consider pinning Python package versions and adding input validation/logging to avoid accidental disclosure.
功能分析
Type: OpenClaw Skill
Name: recommendation-letter-assistant
Version: 1.0.0
The recommendation-letter-assistant skill is a straightforward tool for drafting academic letters of recommendation. The primary logic in scripts/main.py uses predefined templates to generate text based on user input and contains no network calls, sensitive file access, or dangerous execution patterns. The SKILL.md instructions are well-structured, focusing on task-specific workflows and safety checklists without any evidence of prompt injection or malicious intent.
能力评估
Purpose & Capability
The name/description match the included code and reference material: a small Python script produces letter drafts and guidance docs support letter-writing. Nothing in the package requests unrelated cloud credentials, system access, or binaries.
Instruction Scope
SKILL.md instructs running scripts/main.py and mentions validating inputs, file IO protections, and a CONFIG block; the actual script is simple (accepts a CLI name, builds text, prints JSON) and does not read external files, network resources, or environment variables. This is a minor documentation vs implementation mismatch (the doc suggests more file/config handling than the code performs).
Install Mechanism
No install spec and only a small Python script are included. There are no downloads, package installs, or extract steps. Risk from installation is minimal.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The code also does not access env vars or secrets. Credential scope is proportional to the stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent/system-wide changes. It does not modify other skills or agent 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 recommendation-letter-assistant - 安装完成后，直接呼叫该 Skill 的名称或使用
/recommendation-letter-assistant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
Initial release of Recommendation Letter Assistant.
- Provides a structured workflow for drafting standardized recommendation letters, tailored for mentors and faculty.
- Features competency-based content suggestions, specialty-specific customization, and alignment with MSPE/Dean's Letter standards.
- Includes risk assessment, audit-ready commands, and security checklist for safe execution.
- Supports template-driven output and explicit input validation, with clear error handling and fallback guidance.
- Offers example usage instructions, structured output format, and evaluation criteria for consistent, reproducible results.
元数据
常见问题
Rec. Letter Assistant 是什么？
Helps faculty and mentors draft standardized recommendation letters for. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 175 次。
如何安装 Rec. Letter Assistant？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install recommendation-letter-assistant」即可一键安装，无需额外配置。
Rec. Letter Assistant 是免费的吗？
是的，Rec. Letter Assistant 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Rec. Letter Assistant 支持哪些平台？
Rec. Letter Assistant 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 Rec. Letter Assistant？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v1.0.0。
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