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Grammar Checker Ama

该 Skill 通过本地 Python 脚本对输入文本进行 AMA 医学写作风格的语法检查,使用 --text 参数传入待检查文本,可检测被动语态、AMA 风格合规性与医学术语,输出带解释的语法修改建议;无需额外 Python 包,不调用外部 API。

aipoch-ai
aipoch-ai
热度 78.24
最近更新 2026-05-11 17:35:19
分类:效率依赖:代码执行应用场景:校对润色

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 grammar-checker-ama
Metadata
name
grammar-checker-ama
description
Grammar checking tool for AMA style medical writing
version
1.0.0
category
General
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

Grammar Checker (AMA)

Specialized grammar checking for medical writing following AMA Manual of Style.

Usage

python scripts/main.py --text "Your text here"

Parameters

Parameter Type Default Required Description
--text, -t string - Yes Text to check for AMA style compliance

Features

  • Passive voice detection
  • AMA style compliance
  • Medical terminology validation

Output

Grammar correction suggestions with explanations.

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