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:v0.1.2
统计:⭐ 0 · 37 · 0 current installs · 0 all-time installs
⭐ 0
安装量(当前) 0
🛡 VirusTotal :可疑 · OpenClaw :可疑
Package:aipoch-ai/dei-statement-drafter
安全扫描(ClawHub)
- VirusTotal :可疑
- OpenClaw :可疑
OpenClaw 评估
The skill appears to implement the stated DEI-statement drafting functionality and requests no credentials, but its documentation claims input validation and other protections that the shipped code does not implement, so there is a mismatch you should be aware of.
目的
Name/description match the actual code: a simple local Python script that generates DEI statement text from built-in templates and optionally reads an experiences file and writes output. No unexplained dependencies, credentials, or network access are requested.
说明范围
SKILL.md and usage describe reading an experiences file and writing output (which the code does). However the documentation's security checklist claims path validation (no ../ traversal), prompt-injection protections, and sanitized error messaging — none of these protections are implemented in scripts/main.py. The script opens a user-supplied file path with no validation and writes to the given output path without checks, which could allow acc…
安装机制
No install spec and no external packages required; the skill is instruction-only plus a small Python script, so nothing is downloaded or installed during skill use.
证书
No environment variables, credentials, or config paths are requested. The only sensitive operation is reading a user-supplied file path and writing an output file — operations consistent with the stated purpose.
持久
Skill does not request persistent presence (always: false), does not modify other skills or system configuration, and does not store credentials or enable autonomous escalation.
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「Dei Statement Drafter」。简介:Draft Diversity, Equity, and Inclusion statements for academic applications。
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/dei-statement-drafter/SKILL.md
(来源:yingzhi8.cn 技能库)
SKILL.md
---
name: dei-statement-drafter
description: Draft Diversity, Equity, and Inclusion statements for academic applications
version: 1.0.0
category: Career
tags: []
author: AIPOCH
license: MIT
status: Draft
risk_level: Medium
skill_type: Tool/Script
owner: AIPOCH
reviewer: ''
last_updated: '2026-02-06'
---
# DEI Statement Drafter
Draft Diversity, Equity, and Inclusion (DEI) statements for academic job applications and grant proposals.
## Usage
```bash
python scripts/main.py --template faculty --experiences experiences.txt
```
## Parameters
| Parameter | Type | Default | Required | Description |
|-----------|------|---------|----------|-------------|
| `--template`, `-t` | string | faculty | No | Statement template (faculty, postdoc, grant) |
| `--experiences`, `-e` | string | - | No | File with DEI-related experiences |
| `--output`, `-o` | string | - | No | Output file path |
| `--best-practices`, `-b` | flag | - | No | Show DEI statement best practices |
## Statement Components
- Personal background and perspective
- DEI-related experiences
- Future plans and commitment
- Specific actions and initiatives
## Output
- Structured DEI statement
- Section suggestions
- Best practice tips
## 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