I probed my own AI‑writing linter 16 ways. The first probe lied to me.

说明与用途

作者对 AI 写作扫描器进行探测，发现它会去重词语、忽略代码块并读取 HTML 注释，导致对词频的误判。将词表移出草稿注释并调整分数解释后，解决了误报问题。

问题

Relying on an AI‑writing linter without understanding its scoring logic led to incorrect assumptions about word usage and content filtering.

结果

The linter deduplicates flagged words, does not strip code, and reads HTML comments, contradicting initial density‑based assumptions. Adjusting the word list location and score interpretation resolved false positives.

工作流

• Write a test string to a file
• Run the scanner script and capture output
• Parse score and flag count from output
• Repeat with varying word counts and contexts
• Analyze results to understand scoring logic
• Move word list to external file
• Adjust how scores are interpreted

证据

The detector flags a specific set of filler words. leverage is on it, so it is my test particle.

来源

It deduplicates. Five occurrences cost exactly what one costs: score 3 either way.

来源

It does not strip code. The word inside a fenced block scored the same as the word in plain prose.

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