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AI Paraphraser

核心功能:针对AI检测依赖的统计特征重构文本,消除AI痕迹、保留原意,提供轻量调整、中度改写、深度去AI三种模式,支持长文本分段处理,每次改写结果唯一无重复。典型场景:用户有改写、去AI、过AI检测、润色文本等需求时使用。输入为需改写文本,输出为自然人类风格文本,可绕过GPTZero、Turnitin等主流检测器。

openlark
openlark
热度 33.94
最近更新 2026-05-11 17:42:55
分类:效率依赖:纯提示词应用场景: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 ai-paraphraser
Metadata
name
ai-paraphraser
description
AI paraphrasing and de-AI tool.

AI Paraphraser

Rewrite AI-generated content into natural, human writing style, bypassing AI detectors like GPTZero, Turnitin, Originality.ai, and others.

Use Cases

Use this skill when users mention intentions such as "rewrite," "paraphrase," "de-AI," "make text pass AI detection," "humanize," "eliminate AI traces," "polish text," "bypass AI detection," or "reduce article similarity."

Core Positioning

This is not a simple synonym replacement tool. It specifically targets the statistical features that AI detectors rely on for structural reshaping:

  • Eliminate statistical patterns: Sentence length regularity, vocabulary distribution, and paragraph rhythm that AI detectors (GPTZero / Turnitin / Originality.ai / Copyleaks) depend on
  • Preserve original meaning: Facts, arguments, data, and core viewpoints remain completely unchanged; only the expression changes
  • Produce unpredictability: Each rewrite yields different results with no risk of duplicate content

Paraphrasing Modes

Mode Applicable Scenarios Degree of Change
Light Minor adjustments, suitable for users with already decent writing Synonym replacement + minor word order adjustments
Medium Most paraphrasing needs, default recommendation Sentence restructuring + paragraph reorganization + introduction of natural rhythm
Aggressive High-risk detection scenarios, heavily AI-flavored source text Thorough sentence fragmentation + forced diversification + injection of human writing characteristics

Paraphrasing Workflow

Step 1: Determine Mode

Select the paraphrasing mode based on user requirements and source text characteristics:

  • User explicitly specifies mode → Execute as specified
  • User does not specify → Assess the AI flavor concentration of the source text, start with Medium
  • Source text extremely short (<50 words) → Suggest Light mode to avoid semantic distortion
  • Source text extremely long (>2000 words) → Process in segments, 300-500 words per segment

Step 2: Analyze Source Text Structure

Quickly scan the source text before paraphrasing to identify:

  • High-frequency AI sentence patterns: In conclusion... Furthermore... It is worth noting... Moreover...
  • Excessively regular structure: Each sentence of similar length, each paragraph starting with the same connective word
  • Non-informative filler words: In today's rapidly evolving world... It goes without saying that...
  • Core information points: Facts, data, arguments (these must be preserved)

Step 3: Execute Paraphrasing

General Principles (applicable to all modes):

  1. Sentence variety: Alternate between active / passive / inverted / short / long sentences
  2. Vocabulary replacement: Replace non-keywords with synonyms; preserve core terms
  3. Break regular rhythm: Eliminate the pattern of each paragraph starting with a fixed connective
  4. Remove AI filler words: Delete meaningless opening and concluding sentences
  5. Reorganize word order: Rearrange information, not simply replace words

Light Mode Additional Rules:

  • Only replace high-frequency AI vocabulary (furthermore → also / moreover → what's more)
  • Make minimal word order adjustments
  • Maintain original paragraph structure

Medium Mode Additional Rules:

  • Comprehensively reorganize sentence structures; adjacent sentences should not repeat the same structure
  • Order within paragraphs can be adjusted
  • Introduce imperfections found in genuine human writing (occasional splitting of long compound sentences is acceptable)
  • Naturally vary paragraph length

Aggressive Mode Additional Rules:

  • Convert active sentences to passive, passive to active
  • Break long sentences into short ones, then combine some short sentences
  • Delete all obvious AI structural words
  • Add colloquial expressions or slightly irregular phrasing where appropriate
  • Reference the human writing characteristics checklist in references/human-patterns.md

Step 4: Quality Check

After completing the paraphrase, quickly verify:

  • Meaning unchanged: Are core arguments, facts, and data preserved?
  • No obvious AI features: Do words like Furthermore In conclusion Moreover remain?
  • Smooth and natural: Does it read like a human wrote it? Are there any awkward parts?
  • No duplicate content: Are there identifiable similarities with the source text?

Common AI Detection Trigger Words (Be Sure to Replace)

Common AI Word Suggested Replacement
Furthermore Also, Besides, What's more
Moreover In addition, On top of that
In conclusion All in all, To sum up, Overall
It is worth noting that Notably, Interestingly, In fact
First and foremost Above all, Mainly
As mentioned earlier As noted, Regarding this
In today's world Currently, These days
It goes without saying Of course, Naturally
There are several A few / Some / Several
This essay will discuss This piece explores / This looks at

Segmented Paraphrasing Strategy (Long Texts)

When the source text exceeds 500 words, process in segments:

  1. Split by natural paragraphs (do not force cuts by word count)
  2. Paraphrase each segment independently while maintaining logical connections between segments
  3. Finally, read through the entire text to ensure overall fluency
  4. Check whether transitions between paragraphs are natural

See references/human-patterns.md for details.

Paraphrasing Quality Standards

Qualified Output:

  • Semantic equivalence: Does not alter the core meaning of the source text
  • Grammatically correct: No subject-verb disagreement, tense confusion, or other errors
  • Natural and fluent: Reads as if written by an educated human
  • No AI traces: Contains no high-frequency AI vocabulary or regular sentence patterns

Rewrite if Unqualified:

  • Significant semantic deviation → Paraphrase again
  • Detection risk remains high → Switch to a stronger mode and rewrite