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Sca Ai Denoise

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xwtro0tk1t-cloud
sca-ai-denoise

SCA 漏洞 AI 降噪与风险优先级评估。对 Grype/Snyk/Xray 等 SCA 工具的漏洞发现进行多维度风险评估,按 P0-P3 分级,过滤噪音(DoS、本地提权、低影响信息泄露),聚焦真正可利用的高风险漏洞。当用户需要对 SCA 扫描结果降噪、漏洞优先级排序、或供应链风险评估时使用。

Overview

Publisherxwtro0tk1t-cloud
Repositoryharness
Skill namesca-ai-denoise
Stars
264
Forks
25
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xwtro0tk1t-cloud on GitHub. Read the source before you install it.

Installation

Install the Sca Ai Denoise AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xwtro0tk1t-cloud/harness/tree/main/bundled-skills/sca-ai-denoise
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xwtro0tk1t-cloud/harness.git /tmp/harness
mkdir -p .claude/skills
cp -r /tmp/harness/bundled-skills/sca-ai-denoise .claude/skills/sca-ai-denoise
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sca Ai Denoise in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sca Ai Denoise on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sca Ai Denoise is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SCA AI Denoise — 漏洞风险优先级评估

对 SCA (Software Composition Analysis) 扫描结果进行 AI 驱动的风险评估与降噪。

核心目标:减少告警疲劳,让安全团队聚焦真正重要的漏洞。

输入格式

你会收到一组 SCA 漏洞发现(JSON 数组),每个条目包含:

  • index: 漏洞索引
  • cve_id: CVE 编号
  • package: 包名@版本
  • severity: CRITICAL/HIGH/MEDIUM/LOW
  • title: 漏洞标题
  • description: 漏洞描述(可能截断)

可能附带项目上下文:项目名称、语言、框架等。

优先级框架(严格标准)

P0 — 立即处理(必须同时满足多个高风险条件)

条件组合示例
RCE + 无需认证 + 远程攻击向量jackson-databind 反序列化 RCE
SQL 注入 + 无需认证 + 远程数据库驱动 SQL 注入
认证绕过 + 严重影响 + 远程JWT 签名绕过
反序列化 + 公开 PoC/Exploit + 远程Log4Shell (CVE-2021-44228)
CVSS ≥ 9.5 + 公开 Exploit + 远程 + 无需认证

P0 必须严格:仅当漏洞满足多个高风险条件时才标记为 P0。

P1 — 本周修复(高严重性 + 可利用性)

条件组合
RCE + 远程 + 需要认证
Critical 严重性 + 远程 + 公开 Exploit
Critical 严重性 + 远程 + 低攻击复杂度
SQL 注入 / XXE / SSRF + 远程(即使需要认证)
High 严重性 + 远程 + 公开 PoC
CVSS ≥ 8.0 + 远程攻击向量

P2 — 本月修复(有限攻击面或复杂度)

条件组合
Critical/High 严重性 + 仅本地攻击
Critical/High 严重性 + 高攻击复杂度
Medium 严重性 + 远程攻击向量
XSS(通常需要用户交互)
High 严重性但无明确远程利用路径

P3 — 噪音(可延迟或忽略)

条件组合
DoS/DDoS(除非关键互联网服务)
本地提权(无远程攻击面)
Low 严重性漏洞
Medium 严重性 + 仅本地攻击
需要复杂攻击链或用户交互
信息泄露且业务影响极小
仅开发/测试依赖中的漏洞(不在生产环境)

评估维度

对每个漏洞评估以下 5 个维度:

1. 可利用性评估

  • 是否有公开 PoC/Exploit?(检查描述中的 "exploit", "poc", "proof of concept")
  • 攻击复杂度?(LOW = 容易,HIGH = 困难)
  • 利用前提条件?(用户交互、特定配置)
  • 是否已有野外利用?

2. 攻击向量分析

  • 攻击向量:NETWORK(远程)vs LOCAL vs ADJACENT
  • 是否需要认证?(NONE = 无需认证)
  • 是否暴露在互联网?(直接暴露 vs 内部服务)

3. 影响分类(优先级排序)

RCE > SQL 注入 > 认证绕过 > 反序列化 > SSRF > XSS > DoS > 信息泄露

4. 业务影响

  • 关键路径依赖 vs 可选组件?
  • 直接依赖 vs 深层传递依赖?
  • 是否有可用修复版本?升级是否有破坏性变更?

5. 供应链风险

  • 包维护状态(活跃维护 vs 已弃用)
  • 已知恶意活动或 typosquatting
  • 许可证合规问题

噪音过滤规则

以下情况默认标记为 P3:

  • DoS 漏洞(除非关键互联网服务)
  • 本地提权且无远程攻击面
  • 高 CVSS 但需要特定边缘配置
  • 认证后管理面板的 XSS
  • 业务影响极小的信息泄露
  • 开发/测试依赖中的漏洞

输出格式

根据调用方式,输出两种格式之一:

简洁模式(默认,用于自动化管线)

输出 JSON 数组,每个元素:

json
[
  {
    "index": 0,
    "priority": "P0",
    "reason": "RCE via deserialization + unauthenticated + remote + public exploit available"
  }
]

仅输出 JSON 数组,不要有其他文字。

完整模式(用于人工审查)

输出完整评估报告:

json
{
  "risk_score": 7.5,
  "risk_level": "high",
  "summary": "2 句话执行摘要,突出最高风险",
  "prioritized_vulnerabilities": {
    "P0": [{"cve": "CVE-XXX", "package": "pkg@ver", "cvss_score": 9.8, "vulnerability_type": "RCE", "justification": "满足 P0 条件:...", "recommendation": "升级到 X.Y.Z"}],
    "P1": [],
    "P2": [],
    "P3": []
  },
  "vulnerability_statistics": {"total": 50, "P0_count": 2, "P1_count": 5, "P2_count": 20, "P3_count": 23},
  "recommendations": ["前 3 条可执行建议"],
  "supply_chain_assessment": {"overall_health": "concerning|acceptable|good", "risk_factors": ["factor1"]}
}

关键原则

  1. P0 必须严格 — 仅当满足多个高风险条件时才分配 P0
  2. 积极过滤噪音 — DoS、本地提权、信息泄露默认 P3
  3. 关注真实可利用风险 — 不只看 CVSS 分数,考虑实际攻击场景
  4. 提供具体理由 — 解释每个漏洞为什么获得该优先级
  5. 可执行建议 — 给出具体升级命令和修复步骤
  6. 优先关注无需认证 + 远程 + RCE — 这是最高风险组合

Frequently asked questions

What does the Sca Ai Denoise AI skill do?

SCA 漏洞 AI 降噪与风险优先级评估。对 Grype/Snyk/Xray 等 SCA 工具的漏洞发现进行多维度风险评估,按 P0-P3 分级,过滤噪音(DoS、本地提权、低影响信息泄露),聚焦真正可利用的高风险漏洞。当用户需要对 SCA 扫描结果降噪、漏洞优先级排序、或供应链风险评估时使用。

Why use Sca Ai Denoise on TypingMind?

Because you install it once and use it with any model. Sca Ai Denoise is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sca Ai Denoise in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xwtro0tk1t-cloud/harness/tree/main/bundled-skills/sca-ai-denoise. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sca Ai Denoise?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sca Ai Denoise?

As many as you like. As long as a model supports skills, you can use Sca Ai Denoise with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sca Ai Denoise AI skill free?

It is published on GitHub by xwtro0tk1t-cloud. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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