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Agent Skill · 研究检索

vulnerability-validation(漏洞验证)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

vulnerability-validation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 43,020。

总安装 1,022周安装 43GitHub Stars 64下载 358核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:vulnerability-validation(漏洞验证)
来源仓库:https://github.com/factory-ai/factory-plugins
仓库路径:skills/vulnerability-validation
安装命令:
npx skills add https://github.com/factory-ai/factory-plugins --skill vulnerability-validation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/factory-ai/factory-plugins --skill vulnerability-validation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于验证漏洞是否存在及其实际可利用性。适合编写 PoC 脚本、模拟攻击路径并评估危害程度。通过 GitHub 安装,提供交互式验证工具链。仅限授权测试环境使用,严禁对非授权系统进行探测。vulnerability-validation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/vulnerability-validation

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/factory-ai/factory-plugins --skill vulnerabili…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

vulnerability-validation 怎么安装?

在终端执行 npx skills add https://github.com/factory-ai/factory-plugins --skill vulnerability-validat…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

vulnerability-validation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

vulnerability-validation 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

vulnerability-validation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

vulnerability-validation 用的人多吗?

公开数据是累计安装 1,022 次,近一周安装 43 次,下载 358 次,GitHub 64 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

vulnerability-validation 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
vulnerability-validation

漏洞验证 · 本页

1,02264接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Vulnerability Validation

Validate security findings by assessing whether they are actually exploitable in the context of this codebase. This skill filters false positives, confirms real vulnerabilities, and generates proof-of-concept exploits.

When to Use This Skill

  • After commit-security-scan - Validate findings before creating issues or blocking PRs
  • HIGH/CRITICAL findings - Prioritize validation of severe findings
  • Before patching - Confirm vulnerability is real before investing in fixes
  • Security review - Deep-dive validation of specific findings

Prerequisites

  • .factory/threat-model.md must exist (from threat-model-generation skill)
  • security-findings.json must exist (from commit-security-scan skill)

Inputs

InputDescriptionRequiredDefault
Findings filePath to security-findings.jsonYessecurity-findings.json
Threat modelPath to threat modelNo.factory/threat-model.md
Finding IDsSpecific findings to validate (comma-separated)NoAll findings
Severity filterOnly validate findings at or above this severityNoAll severities

Instructions

Follow these steps for each finding to validate:

Step 1: Load Context

  1. Read security-findings.json from commit-security-scan
  2. Read .factory/threat-model.md for system context
  3. Identify which findings to validate based on inputs

Step 2: Reachability Analysis

For each finding, determine if the vulnerable code is reachable:

  1. Trace entry points

- Can external users reach this code path? - What HTTP endpoints, CLI commands, or event handlers lead here? - Is authentication required to reach this code?

  1. Map the call chain

- Starting from the entry point, trace the path to the vulnerable code - Document each function call in the chain - Note any branching conditions that must be satisfied

  1. Classify reachability

- EXTERNAL - Reachable from unauthenticated external input - AUTHENTICATED - Requires valid user session - INTERNAL - Only reachable from internal services - UNREACHABLE - Dead code or blocked by conditions

Step 3: Control Flow Analysis

Determine if an attacker can control the vulnerable input:

  1. Identify the source

- Where does the tainted data originate? - HTTP parameter, file upload, database query, environment variable?

  1. Trace data flow

- Follow the data from source to sink (vulnerable function) - Document each transformation or validation step - Note any sanitization, encoding, or type conversion

  1. Assess attacker control

- Can the attacker fully control the input? - Are there length limits, character restrictions, or format validation? - Does the data pass through any sanitization?

Step 4: Mitigation Assessment

Check if existing security controls prevent exploitation:

  1. Input validation

- Is the input validated before reaching the vulnerable code? - What validation rules are applied?

  1. Framework protections

- Does the framework provide automatic protection? (e.g., ORM parameterization, React XSS escaping) - Is the protection enabled and properly configured?

  1. Security middleware

- Are there WAF rules, rate limiting, or other controls? - Do CSP headers or other browser protections apply?

  1. Reference threat model

- Check the "Existing Mitigations" section for this threat type - Verify mitigations are actually in place

Step 5: Exploitability Assessment

Determine how difficult it is to exploit:

RatingCriteria
EASYNo special conditions, standard tools, publicly known technique
MEDIUMRequires specific conditions, timing, or chained vulnerabilities
HARDRequires insider knowledge, rare conditions, or advanced techniques
NOT_EXPLOITABLETheoretical vulnerability but not practically exploitable

Consider:

  • Attack complexity
  • Required privileges
  • User interaction needed
  • Scope of impact

Step 6: Generate Proof-of-Concept

For confirmed vulnerabilities, create a proof-of-concept:

  1. Craft exploit payload

- Create a minimal payload that demonstrates the vulnerability - Use benign payloads (no actual damage)

  1. Document the request

- HTTP method, URL, headers, body - Or CLI command, file input, etc.

  1. Describe expected vs actual behavior

- What should happen (secure behavior) - What actually happens (vulnerable behavior)

Example PoC structure:

{
  "payload": "' OR '1'='1",
  "request": "GET /api/users?search=' OR '1'='1",
  "expected_behavior": "Returns users matching search term",
  "actual_behavior": "Returns all users due to SQL injection"
}

Step 7: Calculate CVSS Score

Assign a CVSS 3.1 score based on:

MetricOptions
Attack Vector (AV)Network (N), Adjacent (A), Local (L), Physical (P)
Attack Complexity (AC)Low (L), High (H)
Privileges Required (PR)None (N), Low (L), High (H)
User Interaction (UI)None (N), Required (R)
Scope (S)Unchanged (U), Changed (C)
Confidentiality (C)None (N), Low (L), High (H)
Integrity (I)None (N), Low (L), High (H)
Availability (A)None (N), Low (L), High (H)

Example: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N = 9.1 (Critical)

Step 8: Classify Finding

Based on analysis, classify each finding:

StatusMeaning
CONFIRMEDVulnerability is real and exploitable
LIKELYProbably exploitable but couldn't fully verify
FALSE_POSITIVENot actually a vulnerability (document why)
NEEDS_MANUAL_REVIEWRequires human security expert review

Step 9: Generate Output

Create validated-findings.json:

{
  "validation_id": "val-<timestamp>",
  "validation_date": "<ISO timestamp>",
  "scan_id": "<from security-findings.json>",
  "threat_model_version": "<from threat-model.md>",
  "validated_findings": [
    {
      "id": "VULN-001",
      "status": "CONFIRMED",
      "original_severity": "HIGH",
      "validated_severity": "HIGH",
      "exploitability": "EASY",
      "reachability": "EXTERNAL",
      "existing_mitigations": [],
      "exploitation_path": [
        "User submits search query via GET /api/users?search=<payload>",
        "Express router passes query to searchUsers() handler",
        "Handler passes unsanitized input to SQL template literal",
        "PostgreSQL executes malicious SQL"
      ],
      "proof_of_concept": {
        "payload": "' OR '1'='1",
        "request": "GET /api/users?search=' OR '1'='1",
        "expected_behavior": "Returns users matching search term",
        "actual_behavior": "Returns all users due to SQL injection"
      },
      "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
      "cvss_score": 9.1,
      "validation_notes": "Confirmed via code tracing. No input validation or parameterization."
    }
  ],
  "false_positives": [
    {
      "id": "VULN-003",
      "original_severity": "MEDIUM",
      "reason": "Input is validated by Joi schema in middleware before reaching this code. Schema enforces UUID format which prevents injection.",
      "evidence": "See src/middleware/validation.js:45 - Joi.string().uuid()"
    }
  ],
  "needs_manual_review": [
    {
      "id": "VULN-005",
      "original_severity": "HIGH",
      "reason": "Complex data flow through message queue. Unable to fully trace if sanitization occurs in consumer service."
    }
  ],
  "summary": {
    "total_analyzed": 10,
    "confirmed": 5,
    "likely": 2,
    "false_positives": 2,
    "needs_manual_review": 1,
    "by_severity": {
      "CRITICAL": 1,
      "HIGH": 3,
      "MEDIUM": 1,
      "LOW": 0
    }
  }
}

Success Criteria

The skill is complete when:

  • All specified findings have been analyzed
  • Each finding has a status (CONFIRMED, LIKELY, FALSE_POSITIVE, NEEDS_MANUAL_REVIEW)
  • Confirmed findings have exploitation paths documented
  • Confirmed findings have proof-of-concept exploits
  • False positives have clear reasoning
  • validated-findings.json is valid JSON
  • CVSS scores are calculated for confirmed findings

Verification

Run these checks before completing:

# Verify output exists and is valid JSON
cat validated-findings.json | jq . > /dev/null && echo "✓ Valid JSON"

# Check all findings have status
jq '.validated_findings | all(.status)' validated-findings.json

# Check confirmed findings have PoC
jq '.validated_findings | map(select(.status == "CONFIRMED")) | all(.proof_of_concept)' validated-findings.json

# Check false positives have reasoning
jq '.false_positives | all(.reason)' validated-findings.json

Example Invocations

Validate all findings:

Validate the security findings from the last scan.

Validate specific findings:

Validate findings VULN-001 and VULN-002 from security-findings.json.

Validate only HIGH/CRITICAL:

Validate all HIGH and CRITICAL severity findings from the security scan.

Validate with specific files:

Validate findings in security-findings.json using threat model at .factory/threat-model.md.

References

平台分布

Codex

32.48%
按下载量换算116

Claude

32.21%
按下载量换算115

Cursor

18.23%
按下载量换算65

Gemini CLI

9.48%
按下载量换算34

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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