s1366560/corruption-check
.memstack/skills/corruption-check/SKILL.md
通过NLP技术分析聊天记录，识别腐败线索和社会关系网络。支持检测资金往来、信息泄露、权力滥用、串通勾结等腐败模式，构建人物关系图谱。
$ install --global
skillsauthnpx skillsauth add s1366560/agi-demos corruption-checkInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 15, 2026, 7:11 AM13.2s16 files scanned
SKILL.md
- name:
- corruption-check
- description:
- 通过NLP技术分析聊天记录，识别腐败线索和社会关系网络。支持检测资金往来、信息泄露、权力滥用、串通勾结等腐败模式，构建人物关系图谱。
- version:
- 2.0.0
- author:
- Claude
corruption-check 技能
使用方法
命令行
python corruption_analyzer.py <input_file> [output_dir]
Python API
from corruption_analyzer import CorruptionAnalyzerV2
analyzer = CorruptionAnalyzerV2(messages)
report = analyzer.generate_report()
输入格式
JSON/JSONL 格式，每条消息包含：
sender: 发送人标识receiver: 接收人标识timestamp: 时间戳content: 消息内容
输出内容
- 人物风险画像: 风险评分、角色识别、行为记录、资金流水
- 社会关系分析: 关系风险评分、资金流向、信息泄露方向
- 腐败网络检测: 星型网络、共谋网络、中间人识别
- 时间线分析: 腐败事件序列、关键节点、证据链
腐败检测模式
| 模式 | 关键词 | 权重 | |------|--------|------| | 资金往来 | 回扣、转账、好处费 | 3 | | 信息泄露 | 底价、标底、内幕 | 3 | | 权力滥用 | 照顾、帮忙、操作 | 2 | | 秘密会面 | 见面、私下、面谈 | 2 | | 串通勾结 | 统一口径、串供 | 4 |
风险等级
- 🔴 高风险 (70-100分): 核心腐败人员
- 🟠 中风险 (40-69分): 有关联或轻微参与
- 🟢 低风险 (0-39分): 边缘人物
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