技能详情（站内镜像，无评论）
作者：AIpoch @AIPOCH-AI
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v0.1.1
统计：⭐ 0 · 40 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：可疑 · OpenClaw ：良性
Package：aipoch-ai/cover-letter-drafter
安全扫描（ClawHub）
- VirusTotal ：可疑
- OpenClaw ：良性
OpenClaw 评估
The skill is internally consistent with its stated purpose (a local Python cover-letter generator) and does not request credentials or network access, but it lacks output-path validation and some of the checklist protections are not implemented.
目的
Name/description match the code and SKILL.md: a small Python script that generates cover letters for journal, job, and fellowship use cases. There are no unexpected binaries, env vars, or cloud credentials requested.
说明范围
Runtime instructions and examples are scoped to running the local script with CLI args. The code only formats templates and writes JSON output. However, the script will write whatever path is provided to --output without validating or restricting paths (no ../ traversal protection), and user-supplied fields are interpolated directly into templates without sanitization.
安装机制
No install specification — instruction-only plus a small local Python script. Nothing is downloaded or written by an installer.
证书
No environment variables, credentials, or config paths are requested. The requested footprint is minimal and proportionate to the stated function.
持久
always is false and the skill does not request permanent/system-wide changes. It only runs when invoked and writes output to the specified path; it does not modify other skills or global agent config.
综合结论
This skill appears to be what it claims: a small local Python tool for drafting cover letters. Before running it, consider these practical cautions: (1) The script will write to whatever path you pass to --output without checking for ../ traversal or restricting destination — avoid passing sensitive system paths and run in a sandboxed workspace. (2) User-supplied fields (recipient, key-points, title, significance, etc.) are interpolated direct…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Cover Letter Drafter」。简介：Generates professional cover letters for journal submissions and job applicatio…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aipoch-ai/cover-letter-drafter/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: cover-letter-drafter
description: Generates professional cover letters for journal submissions and job
applications in medical and academic contexts.
version: 1.0.0
category: Career
tags:
- cover-letter
- job-application
- journal-submission
- academic-writing
author: AIPOCH
license: MIT
status: Draft
risk_level: Medium
skill_type: Tool/Script
owner: AIPOCH
reviewer: ''
last_updated: '2026-02-06'
---
# Cover Letter Drafter
Creates tailored cover letters for academic and medical positions.
## Features
- Journal submission cover letters
- Job application cover letters
- Fellowship application letters
- Customizable templates
## Parameters
| Parameter | Type | Default | Required | Description |
|-----------|------|---------|----------|-------------|
| `--purpose` | string | job | No | Cover letter type (journal, job, fellowship) |
| `--recipient`, `-r` | string | - | Yes | Target journal or institution |
| `--key-points`, `-k` | string | - | Yes | Comma-separated key points to highlight |
| `--title` | string | - | No | Manuscript title (for journal submissions) |
| `--significance` | string | - | No | Significance statement (for journal submissions) |
| `--author`, `--applicant`, `-a` | string | Applicant | No | Author or applicant name |
| `--position` | string | - | No | Position title (for job applications) |
| `--fellowship` | string | - | No | Fellowship name (for fellowship applications) |
| `--output`, `-o` | string | - | No | Output JSON file path |
## Usage
```bash
# Journal submission cover letter
python scripts/main.py --purpose journal --recipient "Nature Medicine"
--key-points "Novel findings,Clinical relevance"
--title "Study X" --significance "major advance" --author "Dr. Smith"
# Job application cover letter
python scripts/main.py --purpose job --recipient "Harvard Medical School"
--key-points "10 years experience,Published 20 papers"
--position "Assistant Professor" --applicant "Dr. Jones"
# Fellowship application
python scripts/main.py --purpose fellowship --recipient "NIH"
--key-points "Research excellence,Leadership skills"
--fellowship "K99" --applicant "Dr. Lee"
```
## Output Format
```json
{
"cover_letter": "string",
"subject_line": "string",
"word_count": "int"
}
```
## Risk Assessment
| Risk Indicator | Assessment | Level |
|----------------|------------|-------|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |
## Security Checklist
- [ ] No hardcoded credentials or API keys
- [ ] No unauthorized file system access (../)
- [ ] Output does not expose sensitive information
- [ ] Prompt injection protections in place
- [ ] Input file paths validated (no ../ traversal)
- [ ] Output directory restricted to workspace
- [ ] Script execution in sandboxed environment
- [ ] Error messages sanitized (no stack traces exposed)
- [ ] Dependencies audited
## Prerequisites
No additional Python packages required.
## Evaluation Criteria
### Success Metrics
- [ ] Successfully executes main functionality
- [ ] Output meets quality standards
- [ ] Handles edge cases gracefully
- [ ] Performance is acceptable
### Test Cases
1. **Basic Functionality**: Standard input → Expected output
2. **Edge Case**: Invalid input → Graceful error handling
3. **Performance**: Large dataset → Acceptable processing time
## Lifecycle Status
- **Current Stage**: Draft
- **Next Review Date**: 2026-03-06
- **Known Issues**: None
- **Planned Improvements**:
- Performance optimization
- Additional feature support