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：v0.1.0
统计：⭐ 0 · 26 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：可疑 · OpenClaw ：可疑
Package：aipoch-ai/conference-abstract-adaptor
安全扫描（ClawHub）
- VirusTotal ：可疑
- OpenClaw ：可疑
OpenClaw 评估
The skill's code and instructions broadly match the stated purpose (adapting abstracts), but there are mismatches between the SKILL.md security claims and the actual script (no input-path validation, no error sanitization), so it requires caution before use.
目的
The name/description (adapt abstracts to conference formats) aligns with the included script: scripts/main.py reads an input file, parses/structures text, enforces/estimates word/char limits, and writes an adapted output. No unrelated binaries, env vars, or services are requested.
说明范围
SKILL.md instructs running python scripts/main.py with file paths and claims input validation and sandboxing in the security checklist, but the runtime instructions grant the agent (or user) permission to supply arbitrary filesystem paths. The script opens files directly (open(args.abstract)) with no path canonicalization or traversal checks and does not catch exceptions, so it can read arbitrary local files and will surface stack traces on er…
安装机制
No install spec; skill is instruction-only with one included Python script. Nothing is downloaded or executed from external URLs, and no packages are installed. This is low-risk from an install perspective.
证书
No environment variables, credentials, or config paths are requested. The requested capabilities (reading an input text file and optionally writing an output file) are proportionate to the stated purpose.
持久
Skill does not request persistent or elevated privileges (always:false). It does not modify other skills or system configuration. It runs as an ad-hoc script when invoked.
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「Conference Abstract Adaptor」。简介：Adapt abstracts to meet specific conference word limits and formats。
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/conference-abstract-adaptor/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: conference-abstract-adaptor
description: Adapt abstracts to meet specific conference word limits and formats
version: 1.0.0
category: Research
tags: []
author: AIPOCH
license: MIT
status: Draft
risk_level: Medium
skill_type: Tool/Script
owner: AIPOCH
reviewer: ''
last_updated: '2026-02-06'
---
# Conference Abstract Adaptor
Conference-specific abstract formatting.
## Use Cases
- Multi-conference submissions
- Word count compliance
- Format standardization
- Deadline management
## Parameters
| Parameter | Type | Default | Required | Description |
|-----------|------|---------|----------|-------------|
| `--abstract`, `-a` | string | - | Yes | Abstract text file path |
| `--conference`, `-c` | string | - | Yes | Target conference (ASGCT, ASCO, SfN, AACR, ASM) |
| `--output`, `-o` | string | - | No | Output file path |
| `--list-conferences`, `-l` | flag | - | No | List supported conferences |
## Usage
```bash
# Adapt abstract for ASCO
python scripts/main.py --abstract my_abstract.txt --conference ASCO
# Save adapted abstract to file
python scripts/main.py --abstract my_abstract.txt --conference ASGCT --output adapted.txt
# List all supported conferences
python scripts/main.py --list-conferences
```
## Supported Conferences
| Conference | Word Limit | Format |
|-----------|------------|--------|
| **ASGCT** | 250 words | Structured (Background/Methods/Results/Conclusion) |
| **ASCO** | 260 words | Structured (Background/Methods/Results/Conclusion) |
| **SfN** | 2000 chars | Single abstract |
| **AACR** | 300 words | Structured (Background/Methods/Results/Conclusion) |
| **ASM** | 300 words | Single abstract |
## Returns
- Reformatted abstract
- Word count verification
- Required sections checklist
- Submission-ready text
## 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