AI Rate Detection Assistant
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Please install @user_34343d1f/ailv-aijiance according to the official guide at https://skillhub.cn/install/skillhub.md.
About this skill
The Problem It Solves
In academic and content creation fields, detecting whether text is AI-generated has become a common requirement. Users may need to verify the originality of paper excerpts, assignments, public account articles, or social media posts to ensure compliance with academic integrity, platform rules, or personal quality standards. For example, teachers might screen student assignments for AI-written risks, and social media operators want to confirm if content is flagged by AI, affecting distribution. Manual checks are inefficient, so the AI Rate Detection Assistant offers a quick, automated detection solution specifically for Chinese short texts.
Core Capabilities and How It Works
This skill focuses on AI probability detection for Chinese short texts, with its core capabilities and workflow as follows:
- Text Input and Preprocessing: Accepts Chinese text where the effective character count (excluding whitespace) must be between 300 and 1000 characters. For texts over 1000 characters, it automatically truncates the first 1000 characters for preview detection and prompts users to use the full website service.
- API Calls and Responses: Sends requests via Python scripts or system curl to the backend service without requiring users to provide API keys. The response includes the ok status field, AI probability avgAiProbability, human probability avgHumanProbability, and a Chinese summary summary.
- Result Interpretation and Display: After parsing the response, probabilities are converted to percentages (e.g., 75% AI probability) along with summary interpretation, while noting that results are for reference only. Key steps include:
1. Validating Text Length: Checks if the character count is within 300-1000, returning an error prompt if not.
2. Sending Detection Requests: Executes via scripts, with automatic fallback to curl if certificate issues occur.
3. Handling Responses and Errors: On success, displays probabilities; on failure, provides wait-and-retry or service-unavailable suggestions based on status codes like 429 or 5xx.
Use Cases and Limitations
When using this skill, note the following constraints and considerations:
- Text Length Constraints: Strictly limited to 300-1000 characters; longer texts are only previewed, with users directed to https://www.ailv.run for full detection.
- Rate Limits: Approximately 10 requests per minute; if encountering a 429 error, wait for retryAfterSec seconds and retry once.
- Privacy and Security: Texts are used for immediate detection only and not stored on servers; no service keys should be written into the skill.
- Tool Positioning and Misuse: This is not a tool for reducing AI detection or writing content; it cannot fabricate detection scores. Detection results are algorithm-based and for reference only, not replacing manual review.
- Error Handling: Prompts users to modify text if length is invalid; explains service unavailability for network errors or 5xx codes; avoids repeated short接口 calls for long texts.
Use Cases
- Students use this tool to detect whether abstract paragraphs in their course papers are AI-generated before submission, ensuring compliance with academic integrity requirements and avoiding plagiarism accusations.
- Public account teams quickly check the AI probability of the first 500 words in articles before publishing, preventing content from being flagged by platforms and affecting account traffic.
- Teachers screen suspicious text segments in student assignments using this tool to assist in determining if AI writing was used, maintaining fairness in education.
- Xiaohongshu bloggers self-check whether their posts pass AI detection before publishing, ensuring content is not throttled and maintaining account activity.
Best For
- University students or graduate students: Need to detect whether course assignments or paper excerpts are AI-generated to avoid academic misconduct risks.
- Public account operators: Publish multiple original articles weekly and need quick verification of whether text is AI-marked to ensure content safety.
- K-12 teachers: When grading student essays or reports, wish to screen for the possibility of AI writing to maintain the authenticity of teaching assessments.
- Freelance content creators: Write short texts for multiple social media platforms and need to self-check originality to comply with different platform rules.
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