Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tance-mang/chinese-webnovel-skills --skill aidetectgit clone --depth 1 https://github.com/tance-mang/chinese-webnovel-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/aidetect)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/aidetect"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/aidetect/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/aidetect"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/aidetect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00125 | $0.01306 |
| Opus 5 | $0.00063 | $0.00653 |
| Sonnet 5 | $0.00025 | $0.00261 |
| Haiku 4.5 | $0.00013 | $0.00131 |
Grade A, and why
aidetect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
AI 味量化检测器（aidetect）
deslop 告诉你"怎么改"，本技能告诉你"有多重、扣分在哪几项、问题在第几句"。把"我觉得有点 AI 味"变成可量化的诊断：AI 味指数 7.2/10，扣分在比喻密度和连续同句式，位置见清单。
何时用
- 想给一段/一章正文打个"AI 味分"
- 改稿前先定位 AI 味重灾区，按优先级下刀
- 量化对比"改前 vs 改后"降了多少
- 和相邻技能的分工：
aidetect：量化检测+评分+定位（出诊断）deslop：表面改（修辞/标点/重复/极端词）human：深层改（失控感/非理性/不闭环）annotate：单章节奏可视化（钩子/爽点/修饰词）review：整卷读者留存五维诊断
十二项量化指标（详见 references/ai-detector.md）
- 比喻密度 ≤3/千字且不连用（"像…似…宛如…"三连=污染）
- 排比/三段式 ≤1处/章（"不是A不是B而是C"）
- 连续同句式 ≤2 句（连续3+句"主语+动作"报警）
- 句长波动 一段内长/短 ≥3 倍，要有碎句也要有长句
- 段落分布 长短段交错，忌全长/全短/雷同对仗
- 高频情绪词重复 震惊/瞳孔一缩/心头一震… 同章各≤1
- 极端词 非常/极其/瞬间/顿时… 删九成，≤2–3/千字
- 转折词/空泛升华/标点误用 然而/与此同时…、
.../句号当顿号 - 总结句 / tell 密度 "这一刻她明白…""她很悲伤"→show≫tell（专项改用
emotion） - 动作/对白/心理/说明配比 防"心理80"，心理+说明别过半
- 环境审计 环境÷推进，500字蓝天白云不推剧情=注水
- 阅读摩擦 连续长段/环境/回忆/解释 堆叠 → 手机读者劝退
⚠️ 这是估算式启发规则，不是逐字计数：扫一遍估每千字次数、找连续段、挑最密的位置。重在定位 + 趋势。
AI 味指数（0–10，越高越浓 = 越该改）
连续同句式、句长波动权重最高（最毁人味感）。分档：
- 0–3 像真人：偶有小瑕，可发
- 4–6 半成品：有机器痕迹，按定位改重点项
- 7–10 浓 AI 味：一眼假，整章过
deslop+human
输出：量化扫描报告
【AI 味量化扫描 · 第 N 章 / 选段】
字数：__ AI 味指数：__/10 一句话结论：……
指标(实测 vs 阈值)：比喻密度 / 连续同句式 / 句长波动 / 段落分布 /
高频情绪词 / 极端词 / 排比三段式 / 转折升华标点 —— 逐项 ✓/⚠/✗
【扣分定位】（给到句/段）
① 第_段："原句" → 连续4句主语+动作 → 改法
② 第_段："像…似…宛如…" → 比喻三连 → 删两个
【优先改】先动 AI 味分最高的 1–2 项
原则
- 先定位后评分：分数服务于"改哪里"，不是为打分。
- 结合平台：番茄本就短句快节奏——短句密集≠AI，关键看有没有波动、有没有碎句和长句穿插。
- 只诊断不改稿：出报告后交给
deslop/human/emotion动手。
配合
- 表面改 →
deslop（references/anti-ai-checklist.md） - 深层人味 →
human（references/human-texture.md） - 句式节奏 →
references/sentence-rhythm.md - 情绪演出来 →
emotion（references/show-emotion.md）
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 67 lines · 125 tokens per session scan A 3c99acb5a12e
aidetect is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (58 stars, last pushed 3mo ago), licensed MIT. It adds 125 tokens to every session and 1,306 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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