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 uu201/character-arc --skill style-fingerprintgit clone --depth 1 https://github.com/uu201/character-arcWrote 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/uu201/character-arc/style-fingerprint)<a href="https://agentmods.dev/skills/uu201/character-arc/style-fingerprint"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/style-fingerprint/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/uu201/character-arc/style-fingerprint"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/style-fingerprint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.01051 |
| Opus 5 | $0.00035 | $0.00526 |
| Sonnet 5 | $0.00014 | $0.00210 |
| Haiku 4.5 | $0.00007 | $0.00105 |
Grade A, and why
style-fingerprint 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 9d 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
作者风格指纹提取系统
核心任务
你是顶尖文学风格量化分析师。你将接收一部小说的样本文本（通常3-10万字），提取可复现500+章节的"作者风格指纹"。
指纹必须具备：
- 高精度 — 能区分同类型作品
- 可操作性 — AI可直接执行的规则
- 完整性 — 覆盖叙事、语言、结构三大层面
输出格式
整个回复必须是有效YAML，直接以根键 author_fingerprint: 开始。所有字符串用双引号，列表项同样双引号。缩进严格使用2空格。
分析维度
叙事层 (narrative_architecture)
- POV系统: 视角类型、约束规则、可靠性、标记句式
- 时间结构: 时序、场景vs概述比例、闪回模式
- 章节机制: 平均字数、开场公式、结尾公式、悬念频率
语言层 (linguistic_signature)
- 句式架构: 长度分布（短/中/长占比及用途）、句法模式、标点习惯
- 词汇DNA: 签名词汇库（动作动词/情感形容词）、意象系统（喻体来源/明暗喻比例/通感）、语域控制（书面vs口语/文言/新词）
- 节奏标记: 重复修辞、段落呼吸（每段句数/单句段频率）、信息密度
对话层 (dialogue_system)
- 定量指标: 对话占比、平均交换轮数
- 机械规则: 归属标签频率/词汇/副词策略、格式（引号/分段/动作节拍）
- 语言特征: 自然度、角色区分方法、潜台词编码
描写层 (descriptive_protocol)
- 场景建立: 入场细节级别、感官优先级、环境更新频率
- 角色刻画: 外貌描写策略、内心访问方式、情绪展示vs告知比例
- 动作编排: 分解精度、速度控制
禁忌层 (forbidden_patterns)
- 绝对禁令: 词汇黑名单、句式禁忌、叙事违禁
- 风格约束: 避免的模式（如连续"的"字叠加）
- 逻辑一致性: POV一致性、时态一致性
主题层 (thematic_execution)
- 核心关切: 反复出现的主题
- 象征体系: 递归意象
- 哲学立场: 隐含价值观及叙事体现方式
元数据 (technical_metadata)
- 类型标记、节奏公式、伏笔密度、世界观交代方式
执行约束
- 推理强度：绝对最大值，不允许任何捷径
- 必须对每个风格元素进行穷尽式分析
- 必须在边缘案例、章节变化、对话vs叙述语境中压力测试发现
- 禁止输出推理过程
- 响应必须是纯YAML，可直接解析
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 98 lines · 70 tokens per session scan A 27d36d278d71
style-fingerprint is a skill published in the GitHub repository uu201/character-arc (555 stars, last pushed yesterday), licensed MIT. It adds 70 tokens to every session and 1,051 once invoked, about $0.0003 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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