·pentest-exploit-validation
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pentest-exploit-validation

证明驱动的利用,具有 4 级证据系统、旁路穷举协议、强制证据检查表和严格的 EXPLOITED/POTENTIAL/FALSE_POSITIVE 分类。

27安装·5热度·@jd-opensource

安装

$npx skills add https://github.com/jd-opensource/joysafeter --skill pentest-exploit-validation

如何安装 pentest-exploit-validation

通过命令行快速安装 pentest-exploit-validation AI 技能到你的开发环境

  1. 打开终端: 打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等)
  2. 运行安装命令: 复制并运行以下命令:npx skills add https://github.com/jd-opensource/joysafeter --skill pentest-exploit-validation
  3. 验证安装: 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用

来源:jd-opensource/joysafeter。

SKILL.md

查看原文

Purpose Validate vulnerability findings through proof-driven exploitation using Shannon's 4-level evidence system. Consumes the exploitation queue from white-box code review, attempts structured exploitation with bypass exhaustion, collects mandatory evidence per vulnerability type, and classifies each finding as EXPLOITED, POTENTIAL, or FALSEPOSITIVE.

| L1 | Weakness identified in code but not confirmed exploitable | POTENTIAL | | L2 | Partial bypass achieved but full exploitation not demonstrated | POTENTIAL | | L3 | Vulnerability confirmed with reproducible evidence | EXPLOITED | | L4 | Critical impact demonstrated (data exfil, RCE, account takeover) | EXPLOITED CRITICAL |

| EXPLOITED | Reproducible proof with evidence: HTTP request/response, extracted data, or demonstrated impact | | POTENTIAL | Code-level weakness confirmed but exploitation blocked by defense-in-depth or environment constraints | | FALSEPOSITIVE | Taint analysis flagged but manual review confirms effective sanitization or unreachable code path |

可引用信息

为搜索与 AI 引用准备的稳定字段与命令。

安装命令
npx skills add https://github.com/jd-opensource/joysafeter --skill pentest-exploit-validation
分类
!安全工具
认证
收录时间
2026-02-25
更新时间
2026-03-10

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快速解答

什么是 pentest-exploit-validation?

证明驱动的利用,具有 4 级证据系统、旁路穷举协议、强制证据检查表和严格的 EXPLOITED/POTENTIAL/FALSE_POSITIVE 分类。 来源:jd-opensource/joysafeter。

如何安装 pentest-exploit-validation?

打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/jd-opensource/joysafeter --skill pentest-exploit-validation 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用

这个 Skill 的源码在哪?

https://github.com/jd-opensource/joysafeter