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 proofreadgit 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/proofread)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/proofread"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/proofread/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/proofread"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/proofread.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 | $0.00122 | $0.01476 |
| Opus 5 | $0.00061 | $0.00738 |
| Sonnet 5 | $0.00024 | $0.00295 |
| Haiku 4.5 | $0.00012 | $0.00148 |
Grade A, and why
proofread 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 11d 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
错别字校对与过审检查(proofread)
模仿番茄/起点提交后台的"标红 + 一键替换"体验:扫一遍正文,揪出错别字和可能触发平台审核的敏感/违禁内容,每处给"原句 → 改后"对照,作者照着替换即可。
何时用
- 查错别字(的/地/得、在/再、做/作、即/既…)
- 投稿/发布前过审自检:"这段会不会被标红/屏蔽/过不了"
- 要"像番茄那样"标出问题词 + 给替换建议
⚠️ 能力边界(务必如实告诉作者):
- 错别字:按句子意思判断同音/形近误用,准确度高,可放心用。
- 敏感词/违禁:各平台的确切屏蔽词库是内部机密且时常变动,本技能给的是基于公开审核常识的启发式排查(覆盖政治/色情/暴恐/赌毒/迷信/真实品牌人名等大类 + 常见踩雷),是"安全网"不是"保证命中番茄后台的每一个词"。最终以平台实际审核为准;拿不准的词建议作者自行替换或上报平台。
- 需要核对"某平台当下的公开内容规范"时,可联网查(同
trends的联网能力)。
工作流
第 1 步:错别字扫描
逐句按意思判断,常见类型(详见 references/sensitive-words.md 错别字高频对):
- 同音误用:的/地/得、在/再、做/作、需/须、即/既、账/帐、应该/因该
- 形近误用:辩/辨/辫、急燥(→躁)、迫不急待(→及)
- 多字/漏字/重字:“他他走了”“走了进去去”
- 成语写错:“迫不及待”“川流不息”“黄粱一梦”
- 标点:
.../。。。→“……”、并列误用句号→顿号(与deslop一致)
第 2 步:敏感/违禁扫描(按大类排查,见 references/sensitive-words.md)
- 涉政/时政、领导人/真实政治人物
- 色情低俗、过度性描写、擦边
- 暴力血腥、自杀自残的具体方法、教唆/传授犯罪方法
- 赌博、毒品、违禁药物的具体操作
- 封建迷信/宗教渲染(区别于"修真设定",看是否引导现实迷信/破坏宗教政策/邪教)
- 真实品牌/商标/药名/真实人名地名(易被判广告或侵权)
- 辱骂脏话、地域/群体歧视
- 价值观红线、未成年相关红线(含校园未成年暴力)
第 2.5 步:番茄"发布"平台特有规范(长篇连载,易忽略,见 sensitive-words.md 二·补)
- 情节无关内容:求过审/请假/小剧场/作者吐槽 → 移出正文,发"作者有话说"
- 写作不规范:拼音/字母替代敏感词、乱码、不分段、无标点 → 标出改规范
- 引导关注:正文里的 QQ群/微信/微博/公众号/"加我进群" → 全删
第 3 步:输出"标红 + 一键替换"清单
【校对报告 · 第 N 章 / 选段】
字数:__ 错别字:__ 处 敏感/违禁疑似:__ 处
—— 错别字 ——
① 第_段“他在做什么”→“他在作什么”?… 按"作为"应为“作”|原句:……
建议替换:做 → 作
② 第_段“迫不急待”→“迫不及待”
建议替换:急 → 及
—— 敏感/违禁(疑似,按平台审核常识)——
① 第_段“<触发词/句>”类别:涉政|风险:高
建议改写:……(给 1–2 个安全替换)
② 第_段“<真实品牌名>”类别:商标/广告嫌疑|风险:中
建议替换:用虚构名“XX”
【优先处理】高风险敏感项先改;错别字可批量替换。
原则
- 每处都给"原词→建议词",让作者像点番茄的"一键替换"一样照改。
- 错别字按句子意思判断,不是机械匹配("做/作"看语境)。
- 敏感项标类别 + 风险等级 + 替换,并说明这是启发式、以平台为准。
- 不误伤:修真/玄幻的"法术/境界"、合理剧情冲突不算违禁;只标真正可能触审的。
配合
- 投稿三章签约体检(节奏/钩子/字数门槛)→
submission - 文字手感/AI 味 →
deslop、aidetect - 当下平台公开规范联网核对 →
trends
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.
- 11d ago First seen · 75 lines · 122 tokens per session scan A b3becb823f59
proofread is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (55 stars, last pushed 3mo ago), licensed MIT. It adds 122 tokens to every session and 1,476 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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