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wangzhanchao883

Handwriting Analysis

by wangzhanchao883 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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/install handwriting-analysis
Description
刑侦笔迹分析技能(笔迹学/Graphology)。通过分析手写笔迹的特征推断书写者的性格特质、心理状态和行为倾向。 触发场景: - 用户要求分析笔迹、手写字体特征 - 刑侦/犯罪心理学相关笔迹鉴定 - 通过字迹判断性格、心理状态 - 签名分析、笔迹比对 - 关键词:笔迹分析、字迹分析、笔迹鉴定、grapholog...
README (SKILL.md)

\r \r

刑侦笔迹分析技能\r

\r

概述\r

\r 本技能基于笔迹学(Graphology)原理,通过分析手写笔迹的视觉特征,推断书写者的性格特质、心理状态和行为倾向。适用于刑侦调查、人员评估、心理分析等场景。\r \r

核心分析维度\r

\r 笔迹分析从以下 8 大维度 进行系统评估:\r \r | 维度 | 观察要点 | 关联性格 |\r |------|---------|---------|\r | 字形大小 | 字体大小、一致性 | 自信、自我认知、空间需求 |\r | 倾斜角度 | 向右/向左/垂直 | 情感表达、社交倾向、理性程度 |\r | 书写压力 | 笔压轻重、均匀度 | 意志力、情绪强度、能量水平 |\r | 字间距 | 字与字之间距离 | 社交边界、独立性、亲密需求 |\r | 行间距 | 行与行之间距离 | 思维条理、计划性、边界感 |\r | 基线走向 | 水平/上扬/下倾 | 情绪稳定性、目标导向、悲观倾向 |\r | 连笔程度 | 字母/汉字连接 | 思维速度、整体性思维、创造力 |\r | 签名特征 | 签名与正文关系 | 自我认同、社交面具、真实性 |\r \r

分析流程\r

\r

第一步:图像预处理\r

\r 用户提供笔迹图像后,需要:\r

  1. 确认图像清晰度(建议 300 DPI 以上)\r
  2. 识别书写工具(钢笔/圆珠笔/铅笔/毛笔)\r
  3. 判断书写载体(白纸/格纸/横线纸)\r
  4. 记录书写环境因素(站立/坐着、情绪状态)\r \r

第二步:特征提取\r

\r 对笔迹图像进行逐项特征提取,填写《笔迹特征记录表》:\r \r

【笔迹特征记录表】\r
\r
一、字形大小\r
□ 大字(>5mm):自信、外向、需要关注\r
□ 中字(3-5mm):平衡、适应性强\r
□ 小字(\x3C3mm):专注、内向、注重细节\r
□ 大小不一:情绪波动、适应性差\r
\r
二、倾斜角度\r
□ 右倾(>5°):情感外露、善于表达、冲动\r
□ 左倾(\x3C -5°):内敛、自我保护、批判性\r
□ 垂直:理性、自控、客观\r
\r
三、书写压力\r
□ 重压:意志坚定、情绪强烈、可能固执\r
□ 轻压:敏感、灵活、适应性强\r
□ 压力不均:情绪不稳定\r
\r
四、字间距\r
□ 宽间距:需要独立空间、边界感强\r
□ 窄间距:需要亲密关系、边界感弱\r
□ 间距不均:人际关系不稳定\r
\r
五、行间距\r
□ 宽行距:思维清晰、有条理\r
□ 窄行距:思维密集、可能焦虑\r
□ 行距不均:计划性差\r
\r
六、基线走向\r
□ 上扬:乐观、目标导向\r
□ 下倾:悲观、消极倾向\r
□ 波动:情绪波动大\r
□ 水平:情绪稳定、自律\r
\r
七、连笔程度\r
□ 高连笔:思维敏捷、整体思维\r
□ 低连笔:谨慎、分析型思维\r
□ 适中:平衡\r
\r
八、签名特征\r
□ 签名>正文:自我展示欲强\r
□ 签名\x3C正文:低调、可能隐藏自我\r
□ 签名风格迥异:社交面具明显\r
```\r
\r
### 第三步:综合分析\r
\r
根据特征组合进行综合研判,参考 `references/personality-traits.md` 中的特征-性格映射表。\r
\r
### 第四步:生成报告\r
\r
输出结构化分析报告,包含:\r
- 各维度特征描述\r
- 性格特质推断(置信度)\r
- 心理状态评估\r
- 行为倾向预测\r
- 注意事项与局限性说明\r
\r
## 使用方法\r
\r
### 基本用法\r
\r
用户上传笔迹图片后,直接描述分析需求:\r
\r
```\r
请分析这份笔迹,推断书写者的性格特征\r
```\r
\r
### 高级用法\r
\r
指定分析维度或场景:\r
\r
```\r
请从刑侦角度分析这份笔迹,重点关注签名特征和压力变化\r
这份笔迹是否存在伪装书写的迹象?\r
对比这两份笔迹,判断是否为同一人书写\r
```\r
\r
## 参考资源\r
\r
- **性格特征映射表**:`references/personality-traits.md` — 详细的笔迹特征与性格对应关系\r
- **刑侦应用指南**:`references/forensic-guide.md` — 笔迹分析在刑侦中的特殊应用\r
\r
## 重要声明\r
\r
⚠️ **笔迹分析的局限性**\r
\r
1. 笔迹分析属于投射技术,具有一定主观性\r
2. 结论应作为参考线索,不作为唯一判断依据\r
3. 书写环境、工具、身体状况会影响笔迹\r
4. 专业鉴定需结合其他证据综合判断\r
5. 存在伪装书写的可能,需识别异常特征\r
Usage Guidance
Install only if you understand this is speculative graphology guidance, not a reliable forensic, hiring, mental-health, or law-enforcement assessment tool. Do not use it to judge a person’s dangerousness, honesty, mental state, employability, or guilt, especially from third-party handwriting without informed consent.
Capability Assessment
Purpose & Capability
The stated purpose is graphology-based handwriting analysis that infers personality traits, psychological state, and behavioral tendencies, including criminal-investigation and personnel-evaluation use cases. That sensitive profiling purpose is high-impact and only lightly caveated.
Instruction Scope
The instructions default to character, psychological, behavior, and criminal-risk inferences from uploaded handwriting, and the reference material maps handwriting features to violent, fraud, premeditated, and impulsive crime risks without requiring consent, narrowing to observable features, or excluding high-stakes use.
Install Mechanism
The artifact contains only markdown skill and reference files, with no scripts, dependencies, package installs, network calls, or hidden execution path. Static scan and VirusTotal telemetry were clean.
Credentials
The skill expects handwriting images that may belong to third parties and may be used in investigative or personnel contexts. The requested analysis is disproportionate without explicit privacy, consent, and high-stakes-use safeguards.
Persistence & Privilege
No persistence, background workers, privilege escalation, credential use, local indexing, or durable agent-state instructions were found.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install handwriting-analysis
  3. After installation, invoke the skill by name or use /handwriting-analysis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Introduces the handwriting-analysis skill for personality and forensic handwriting analysis based on graphology. - Outlines eight key handwriting features used for assessment (size, slant, pressure, spacing, baseline, connectivity, signature, etc.). - Provides a step-by-step analysis workflow: image preprocessing, feature extraction, integrated evaluation, and report generation. - Includes usage examples and advanced forensic analysis scenarios. - Notes limitations and cautions for interpretation of handwriting analysis results.
Metadata
Slug handwriting-analysis
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Handwriting Analysis?

刑侦笔迹分析技能(笔迹学/Graphology)。通过分析手写笔迹的特征推断书写者的性格特质、心理状态和行为倾向。 触发场景: - 用户要求分析笔迹、手写字体特征 - 刑侦/犯罪心理学相关笔迹鉴定 - 通过字迹判断性格、心理状态 - 签名分析、笔迹比对 - 关键词:笔迹分析、字迹分析、笔迹鉴定、grapholog... It is an AI Agent Skill for Claude Code / OpenClaw, with 37 downloads so far.

How do I install Handwriting Analysis?

Run "/install handwriting-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Handwriting Analysis free?

Yes, Handwriting Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Handwriting Analysis support?

Handwriting Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Handwriting Analysis?

It is built and maintained by wangzhanchao883 (@wangzhanchao883); the current version is v1.0.0.

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