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threatthreat 搜索

Agent Skill

threat 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

3,757

周安装

152

GitHub Stars

公开资料未说明

下载量

1,180
OpenClaw

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

MIT-0

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:threat(threat 搜索)
来源仓库:https://github.com/mike47512/threat
安装命令:
openclaw skills install threat
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install threat

简介

threat 提供深度威胁建模工作流程,包括系统分解和 STRIDE 分析。

  • 适用于新产品设计中的安全评估和风险识别场景。
  • 通过 clawhub 安装,支持结构化威胁记录与缓解措施生成。
  • 使用前应确认是否需要联网获取外部威胁情报源。
  • 建议评估是否会修改本地文件或执行系统命令。threat 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
threat
description
Deep threat modeling workflow—system decomposition, trust boundaries, STRIDE-style threats, mitigations, prioritization, and tracking. Use when designing new features, reviewing architecture, or responding to security requirements (STRIDE, PASTA light).

Threat Modeling (Deep Workflow)

Threat modeling turns architecture into attack scenarios and mitigations before code hardens incorrectly. It is team-facing—security is a collaborative exercise, not a gate at the end.

When to Offer This Workflow

Trigger conditions:

  • New service, major data flow change, public API, partner integration
  • Compliance asks for “threat model” artifact
  • Post-incident “how do we prevent class of issues”

Initial offer:

Use six stages: (1) scope & assets, (2) diagram & trust boundaries, (3) threats (STRIDE), (4) mitigations & controls, (5) prioritize & owners, (6) validate & iterate. Confirm time box (1–2 hour workshop vs async).


Stage 1: Scope & Assets

Goal: Agree what we model and what we protect.

Questions

  1. In scope: apps, infra, data stores, admin tools, CI/CD?
  2. Crown jewels: data (PII, keys), money, availability, reputation
  3. Adversaries: script kiddies, malicious insiders, nation-state (usually pick realistic tiers)

Output

Scope paragraph + asset list with sensitivity.

Exit condition: Shared understanding of what hurts if lost.


Stage 2: Diagram & Trust Boundaries

Goal: Visual model with boundaries where trust changes.

Practices

  • DFD-ish diagram: external actors, services, data stores, queues
  • Mark trust boundaries: internet boundary, partner VPC, employee laptop, CI system
  • Note auth mechanisms crossing boundaries (mTLS, JWT, API keys)

Pitfalls

  • Missing CI/CD and admin paths—attackers love them
  • Over-detailed diagram—keep level consistent

Exit condition: Diagram everyone in the room recognizes as their system.


Stage 3: Threats (STRIDE)

Goal: Systematic brainstorm—not exhaustive fantasy.

STRIDE prompts

  • Spoofing: impersonation of user/service
  • Tampering: data/code/config changed in transit or at rest
  • Repudiation: actions not attributable—audit gaps
  • Information disclosure: leaks to unauthorized
  • Denial of service: resource exhaustion, dependency attacks
  • Elevation of privilege: user becomes admin, lateral movement

Technique

  • Walk each boundary + each asset with STRIDE columns—rapid ideation, defer judgment
  • Capture threats as short scenarios: “Attacker with leaked API key calls admin endpoint”

Exit condition: Threat list with assumptions stated (e.g., “requires MITM”).


Stage 4: Mitigations & Controls

Goal: Map threats to controls—prevent, detect, respond.

Control types

  • Prevent: authZ checks, input validation, encryption
  • Detect: logging, alerts, IDS, anomaly detection
  • Respond: kill switches, incident playbooks

Avoid

  • Control theater—checkbox without real enforcement

Exit condition: Each high threat has at least one planned control or accepted risk with owner.


Stage 5: Prioritize & Owners

Goal: Ruthless prioritization—fix what matters.

Factors

  • Impact × likelihood (even qualitative MoSCoW)
  • Ease of exploitation vs cost to fix

Tracking

  • Tickets per mitigation; link to threat ID
  • Residual risk explicitly accepted by appropriate authority when not fixed

Exit condition: Roadmap of mitigations with dates.


Stage 6: Validate & Iterate

Goal: Model ages—revisit on major changes.

Triggers for refresh

  • New data flow, new integration, auth redesign
  • Pen test findings that contradict assumptions

Light validation

  • Red team scenarios for top threats if mature org

Final Review Checklist

  • [ ] Assets and scope agreed
  • [ ] Trust boundaries diagram current
  • [ ] STRIDE pass completed for boundaries
  • [ ] Mitigations mapped; owners assigned
  • [ ] Residual risk explicit where unmitigated

Tips for Effective Guidance

  • Facilitate, don’t lecture—engineers own the system facts.
  • Prefer scenarios over abstract “Tampering risk.”
  • Link to requirements (“every admin action audited”) for traceability.

Handling Deviations

  • No time workshop: async diagram + STRIDE spreadsheet review.
  • Tiny feature: mini threat model—still document trust boundary with external API.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

87.71%
按下载量换算1,035

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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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