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Conference Abstract Adaptor

该 Skill 通过本地 Python 命令行读取摘要文本,按 ASGCT、ASCO、SfN、AACR 或 ASM 的字数限制和结构要求进行重排,返回适配文本、字数校验和必填章节清单;未声明外部 API 调用。

aipoch-ai
aipoch-ai
热度 83.19
最近更新 2026-05-17 15:28:34
分类:效率依赖:代码执行 / 读写文件应用场景:研究 / 校对润色 / 模板

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add conference-abstract-adaptor
Metadata
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

# 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