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mitremitre 搜索

Agent Skill

mitre 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。

总安装

267

周安装

11

GitHub Stars

9

下载量

87
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:mitre(mitre 搜索)
来源仓库:https://github.com/florianbuetow/claude-code
仓库路径:skills/mitre
安装命令:
npx skills add https://github.com/florianbuetow/claude-code --skill mitre
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 mitre

简介

用于查找、检索和筛选 MITRE ATT&CK 框架相关代码片段。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。
  • 基于关键词或任务场景进行信息筛选和匹配。
  • 安装前建议确认权限范围和维护状态。mitre 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 注意是否会触发联网或文件读写操作。

SKILL.md

MITRE ATT&CK Mapping Skill

Post-analysis enrichment tool that maps existing security findings to the MITRE ATT&CK framework. This skill does NOT discover new vulnerabilities. It takes findings produced by other skills (OWASP, STRIDE, SANS/CWE Top 25) and enriches them with ATT&CK tactics, techniques, attack chain analysis, and threat actor TTP cross-references.

This skill operates on findings, not on source code directly.

Supported Flags

Read ../../shared/schemas/flags.md for the full flag specification. This skill supports the following flags.

FlagSkill-Specific Behavior
--scopeNot used directly. Findings are sourced from prior analysis or .appsec/findings.json.
--depthControls enrichment depth. standard maps techniques. deep builds kill chains. expert adds threat actor TTPs and DREAD scoring.
--severityFilter input findings before mapping. Only findings at or above this severity are processed.
--formatApplied to final output.
--quietMappings only, suppress narrative descriptions.
--explainAdd detailed ATT&CK context and learning material per mapping.

Framework Reference

Read ../../shared/frameworks/mitre-attck.md for the full MITRE ATT&CK specification including tactic definitions, technique descriptions, code-level patterns, cross-framework mapping tables, and kill chain construction guidance.

Workflow

Step 1: Acquire Findings

Collect existing findings from one or more sources, checked in priority order:

  1. Current conversation context: If findings are present from a prior analysis step (e.g., /appsec:owasp or /appsec:stride), use those.
  2. Findings file: Check .appsec/findings.json for persisted findings.
  3. User-specified file: If the user provides a path, read and parse it.

If no findings are available, inform the user and suggest running /appsec:owasp, /appsec:stride, or /appsec:sans25 first.

Step 2: Validate and Normalize Findings

Verify each finding conforms to shared/schemas/findings.md. Ensure required fields are present (id, title, severity, location.file, description). Discard malformed entries with a warning.

Normalize existing cross-references for mapping priority:

  • references.cwe — primary key for ATT&CK mapping.
  • references.owasp — secondary, via OWASP-to-ATT&CK table.
  • references.stride — tertiary, via STRIDE-to-ATT&CK table.

Step 3: Map Findings to ATT&CK Techniques

For each finding, determine applicable ATT&CK techniques using the cross-framework mapping tables in mitre-attck.md:

  1. CWE-based: "ATT&CK Techniques to CWE" table (e.g., CWE-89 maps to T1190, T1059).
  2. OWASP-based: "ATT&CK Techniques to OWASP Top 10" table (when CWE unavailable).
  3. STRIDE-based: "ATT&CK Techniques to STRIDE" table (tertiary source).
  4. Pattern-based: Analyze description and title keywords against technique descriptions.

For each mapped technique, record technique_id, technique_name, tactic_id, and tactic_name. Update references.mitre_attck with the primary technique ID.

Step 4: Build Tactic Coverage Matrix

Each technique belongs to one or more tactics. Produce a matrix showing which tactics each finding touches:

Finding IDReconInitial AccessExecutionPriv EscCred AccessCollectionExfiltrationImpact
INJ-001T1190T1059T1552T1005T1041T1485
AUTH-003T1589T1078T1548T1110

Step 5: Build Attack Chains

Group findings that chain into multi-step attack scenarios from reconnaissance through impact. For each chain:

  1. Entry point: A finding enabling Initial Access (TA0001) or Reconnaissance (TA0043).
  2. Lateral steps: Trace technique-to-technique transitions through the kill chain.
  3. Terminal impact: Map to Impact tactics (TA0040): data destruction (T1485), manipulation (T1565), ransomware (T1486), or DoS (T1498).
  4. Chain severity: Maximum terminal impact severity, elevated one level if 3+ findings compound.
CHAIN-001: SQL Injection to Data Exfiltration
  Severity: critical
  Steps:
    1. [INJ-001] SQL injection in /api/users (T1190 -> Initial Access)
    2. [INJ-001] Database dump via UNION SELECT (T1005 -> Collection)
    3. [CRYPT-002] Credentials stored in plaintext (T1552 -> Credential Access)
    4. [AUTH-003] No MFA on admin portal (T1078 -> Privilege Escalation)
  Impact: Full database compromise, credential theft, admin takeover

Step 6: Kill Chain Visualization

Produce a text-based kill chain diagram mapping findings onto Lockheed Martin Cyber Kill Chain stages aligned with ATT&CK tactics:

Reconnaissance   Initial Access    Execution        Collection       Exfiltration
     |                |                |                |                |
     v                v                v                v                v
[T1595 Scan] -> [T1190 SQLi] --> [T1059 Cmd] -> [T1005 Dump] -> [T1041 Exfil]
                 INJ-001           INJ-001        INJ-001
                                                     |
                                                     v
                                   [T1552 Creds] -> [T1078 Acct] -> [T1548 Priv]
                                    CRYPT-002        AUTH-003        AUTH-003

For --format json, produce a structured chain object with nodes and edges.

Step 7: Cross-Reference Threat Actor TTPs

Available at --depth deep and --depth expert. For each technique, note which threat actor groups commonly use it:

TechniqueKnown Usage
T1190 Exploit Public-Facing AppAPT28, APT41, Lazarus Group, FIN7, most initial access brokers
T1078 Valid AccountsAPT29, APT41, FIN6 -- commonly after credential theft
T1552 Unsecured CredentialsAPT33, FIN7 -- harvesting from config files
T1505.003 Web ShellAPT41, Hafnium -- persistent access via uploaded shells

This is NOT a threat intelligence assessment. It shows that identified techniques are actively used in real-world attacks.

Step 8: Produce Output

{
  "tool": "mitre",
  "input_findings": 12,
  "mapped_findings": 10,
  "unmapped_findings": 2,
  "techniques_identified": 8,
  "tactics_covered": 6,
  "attack_chains": 2,
  "tactic_coverage": {
    "reconnaissance": ["T1595"],
    "initial_access": ["T1190", "T1078"],
    "execution": ["T1059"],
    "credential_access": ["T1552", "T1110"],
    "collection": ["T1005"],
    "exfiltration": ["T1041"],
    "impact": ["T1485"]
  },
  "chains": [ ... ],
  "enriched_findings": [ ... ]
}

Step 9: Present Results

Output the report in the requested --format. Include:

  • Mapping summary: findings mapped, techniques identified, tactics covered.
  • Tactic coverage matrix: ATT&CK tactics represented and gaps.
  • Technique breakdown: findings per technique with parent tactic.
  • Attack chains: step-by-step narrative with kill chain visualization.
  • Coverage gaps: tactics with no mapped findings flagged as areas needing further analysis.

Expert Mode

If --depth expert is set, additionally:

  1. Read ../../shared/frameworks/dread.md for DREAD scoring criteria. Assign a DREAD score to each attack chain.
  2. Threat actor profiling: For each chain, identify the most likely threat actor class (opportunistic, insider, APT, nation-state) based on complexity and resources required.
  3. Detection gap analysis: For each technique in a chain, assess whether the codebase has logging or alerting to detect the attack at that stage. Cross-reference with OWASP A09 findings if available. Flag chains where multiple stages lack detection as highest priority.
  4. Mitigation roadmap: For each chain, produce a prioritized list of mitigations that break the chain at the earliest stage. Prefer mitigations that break multiple chains simultaneously.
  5. Append expert findings with prefix ATK and metadata.tool set to "mitre-attck".

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.5%
按下载量换算31

Claude

29.7%
按下载量换算26

Cursor

17.61%
按下载量换算15

Gemini CLI

8.82%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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