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 charactergit 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/character)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/character"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/character/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/character"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/character.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 | $0.00077 | $0.00965 |
| Opus 5 | $0.00039 | $0.00483 |
| Sonnet 5 | $0.00015 | $0.00193 |
| Haiku 4.5 | $0.00008 | $0.00097 |
Grade A, and why
character 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
人物设定（character）
网文人物不必复杂，但必须有记忆点、服务爽感、前后一致。
何时用
- 设计主角/反派/女主男主/配角
- 做人设卡、人物小传、关系网
- 人物脸谱化、立不住、OOC（前后不一致）
工作流
主角设计
- 名字：避开烂大街网文姓名（叶辰/苏念/林婉儿），起贴时代、有记忆点的名 → 调
references/name-library.md，或用name技能专门起一批 - 记忆点：一个让读者记住的标签（口头禅/习惯/独特价值观）
- 代入感：男频要能让读者"想成为他"，女频要能让读者"想成为她/被这样爱"（调
references/channel-guide.md） - 主观能动性：主角要自己做选择，不能被金手指牵着走
- 一个不理性的点（人味）：给主角一个偏执/执念/会赌会自毁的点——"明知错还做"才像活人，太正常=太 AI（调
human技能 /references/human-texture.md） - 成长弧光：性格/心境从开篇到结局怎么变（不只是变强）
- 金手指适配：性格与金手指的化学反应（调
references/goldfinger-types.md）
反派设计
- 强度匹配：反派要够强够聪明，主角赢才有含金量
- 动机合理：反派也有自己的逻辑，不是为坏而坏
- 打脸价值：越嚣张/越位高，被打脸越爽（调
references/trope-library.md） - 层级递进：小反派→中反派→大BOSS，逐级升级
配角 / CP
- 配角要有功能（推进/衬托/调节），别工具人到没记忆点
- CP 要有"关系张力"：误会/身份差/双向奔赴的节奏
输出：人设卡
【姓名】+ 一句话记忆点
【身份】开局身份 → 真实身份/最终身份
【性格】3 个关键词 + 1 个反差点
【核心欲望】他/她到底要什么
【金手指/能力】
【成长弧光】开篇状态 → 结局状态
【与主线关系】
【关系网】与主要角色的关系和张力
【语言指纹】风格 / 口癖 / 句长偏好 / 常用词 / 不会说什么
【经典台词】1–2 句（体现性格 + 语言指纹）
语言指纹（speech_profile）：每个主要角色记一张——说话粗/雅/毒舌、口头禅、句子长短、爱用/绝不用的词。这是长篇后期"所有人一个口气"的解药：写对话前对照注入（用
dialogue技能），存进01_人物.md。
一致性
- 设定后建议存为人物档案（含语言指纹），写正文时对照，避免 OOC、避免一人一腔。
- 大长篇用
review查人设留存、用continuity核对人物状态/行为前后是否矛盾。
下一步
人设好了 → 用 outline 把人物弧光排进剧情；用 expand 写出人物的"声音"。
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 · 58 lines · 77 tokens per session scan A ab37b1b0364c
character is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (58 stars, last pushed 3mo ago), licensed MIT. It adds 77 tokens to every session and 965 once invoked, about $0.0004 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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