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Agent Skill · 研究检索

pasta-attack-sim(面食攻击模拟)

pasta-attack-sim 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

pasta-attack-sim 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,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 64,698。

总安装 294周安装 12GitHub Stars 9下载 95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:pasta-attack-sim(面食攻击模拟)
来源仓库:https://github.com/florianbuetow/claude-code
仓库路径:skills/pasta-attack-sim
安装命令:
npx skills add https://github.com/florianbuetow/claude-code --skill pasta-attack-sim
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/florianbuetow/claude-code --skill pasta-attack-sim

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。

用于查找、检索和筛选相关信息。pasta-attack-sim 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词或任务场景快速定位候选结果。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围和维护状态。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。注意是否会触发联网或文件读写操作。

来源仓库内路径:skills/pasta-attack-sim

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/florianbuetow/claude-code --skill pasta-attack…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

pasta-attack-sim 怎么安装?

在终端执行 npx skills add https://github.com/florianbuetow/claude-code --skill pasta-attack-sim。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

pasta-attack-sim 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。

pasta-attack-sim 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

pasta-attack-sim 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。

pasta-attack-sim 用的人多吗?

公开数据是累计安装 294 次,近一周安装 12 次,下载 95 次,GitHub 9 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。

pasta-attack-sim 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 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
pasta-attack-sim

面食攻击模拟 · 本页

2949只读未明确通过

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

PASTA Stage 6: Attack Simulation

Simulate realistic exploit chains by combining Stage 4 threats with Stage 5 vulnerabilities. Score each scenario by exploitability and impact, and assess whether existing controls detect or prevent each chain.

Supported Flags

Read ../../shared/schemas/flags.md for the full flag specification. Key behaviors:

FlagStage 6 Behavior
--scopeInherits from prior stages. Uses vulnerability inventory and threat catalog, not raw source.
--depth quickTop 3 most critical exploit chains only, basic scoring.
--depth standardFull attack trees for all high/critical pairs, DREAD scoring.
--depth deepStandard + detection gap analysis, control bypass assessment, multi-stage pivots.
--depth expertDeep + red team persona simulation with step-by-step exploit narratives.
--severityFilter to attack scenarios above the specified impact level.

Framework Context

Read ../../shared/frameworks/pasta.md, Stage 6 section. PASTA is SEQUENTIAL. Stage 6 consumes Stages 1-5 output and feeds Stage 7.

Prerequisites

Required: Stage 5 output -- vulnerability inventory with CWE mappings and vulnerability-threat correlations. Also needs: business assets (Stage 1), entry points (Stage 2), components and trust boundaries (Stage 3), threat catalog (Stage 4). If unavailable, warn and assume.

Workflow

Step 1: Identify Attack Pairs

Combine threats with vulnerabilities. Prioritize pairs targeting business-critical assets. Discard pairs fully mitigated by existing controls.

Step 2: Construct Exploit Chains

For each high-priority pair, build multi-step scenarios covering: entry point, exploitation, lateral movement, privilege escalation, objective reached, and exfiltration/impact. Construct attack trees showing alternate paths:

Goal: [Business-critical asset]
  OR
  +-- Path A: [Entry point] -> [Vuln-1] -> [Pivot] -> [Target]
  +-- Path B: [Entry point] -> [Vuln-2] -> [Escalation] -> [Target]

Step 3: Score Exploitability (DREAD)

FactorCriteria
Damage10 = full compromise, 1 = minor info leak
Reproducibility10 = every time, 1 = race condition
Exploitability10 = script kiddie, 1 = nation-state
Affected Users10 = all users, 1 = single user
Discoverability10 = publicly known, 1 = insider knowledge

DREAD Score = Average of all five factors (0-10).

Step 4: Assess Detection Gaps

For each chain: is exploitation logged? Would alerts fire? Would WAF/IDS block it? Is rate limiting effective? Would post-exploitation behavior be detected?

Step 5: Identify Control Bypasses

For each security control: can it be bypassed via alternative paths? Does it cover all entry points? Are there timing windows? Can the attacker degrade it?

Step 6: Rank Attack Scenarios

Order by: DREAD score, business impact, attack complexity (simpler = higher), detection coverage (undetectable = higher).

Analysis Checklist

  1. Can low-severity vulns chain into high-impact exploits?
  2. What is the shortest path from internet to most sensitive data?
  3. Would current logging detect this attack in progress?
  4. What skill level and tooling is required per path?
  5. Are there paths that bypass all existing controls?
  6. Can a single compromised credential yield full system access?
  7. Are there TOCTOU windows exploitable in chains?
  8. What is the blast radius of the most likely attack?

Output Format

Stage 6 produces Attack Scenarios with Exploit Chains. ID prefix: PASTA (e.g., PASTA-ATK-001).

## PASTA Stage 6: Attack Simulation

### ATK-001: [Scenario Name]
**Target**: [Asset] | **Actor**: [Profile] | **DREAD**: X.X
**Chain**: Entry point -> Vuln exploited -> Access gained -> Pivot -> Objective
| Damage | Reproducibility | Exploitability | Affected Users | Discoverability | Score |
|--------|----------------|---------------|---------------|----------------|-------|
| X | X | X | X | X | X.X |
**Detection**: Logging [Y/N], Alerting [Y/N], WAF [Y/N]
**Gaps**: [Missing controls]

### Attack Scenario Summary
| ID | Scenario | DREAD | Target Asset | Complexity | Detected |
|----|----------|-------|-------------|------------|----------|
| ATK-001 | ... | X.X | ... | Low/Med/High | Yes/No |

### Detection Gap Summary
| Gap | Scenarios Affected | Recommendation |
|-----|-------------------|----------------|

Findings follow ../../shared/schemas/findings.md with:

  • dread: Full DREAD scoring object
  • references.mitre_attck: technique IDs, references.cwe: exploited CWE IDs
  • metadata.tool: "pasta-attack-sim", metadata.framework: "pasta", metadata.category: "Stage-6"

Next Stage

Stage 7: Risk & Impact Analysis (pasta-risk). Pass attack scenarios, DREAD scores, and detection gaps. Stage 7 combines technical exploitability with Stage 1 business impact to produce risk-weighted scores and a remediation roadmap.

平台分布

Codex

36.64%
按下载量换算35

Claude

29.08%
按下载量换算28

Cursor

19.44%
按下载量换算18

Gemini CLI

10.1%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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