Threat Model
Agent skill for producing threat models for open-source projects
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
研究 Agent
I need my agent to research a topic, compare sources, and produce a concise report.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add alpha-omega-security/threat-model
维护状态
新鲜
距上次推送 3 天
风险
需审查
Low GitHub adoption signal
GitHub 质量
28
72/100 质量 · 80/100 信任
覆盖标签
审查说明
Low GitHub adoption signal · Quality score needs review
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
强可靠的选择,值得加入生产工作流候选列表。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
28 个 GitHub Stars
仓库活跃度
28 个 Star,5 个 Fork
维护状态
距上次推送 3 天
许可证
MIT
安装
npx skills add alpha-omega-security/threat-model
安装安全性
标准软件包或运行时安装路径
权限范围
文件系统或文档访问
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 28 GitHub stars
- Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- Security and compliance 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Inspect risky files
适用 Agent
安装决策
- 命令
- npx skills add alpha-omega-security/threat-model
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 72/100
- 审计
- 83/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 28 GitHub stars
Agent 安全 v2
67/100 · 安装前审查
可用候选,但 Agent 在安装前应展示权限与审计说明。
在真实工作区安装前需要人工批准。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
- Low GitHub adoption signal
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install alpha-omega-security-threat-modelAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20Threat%20Model%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20Threat%20Model%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/alpha-omega-security-threat-model/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use Threat Model in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Threat%20Model%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alpha-omega-security-threat-model/install
Install command: npx skills add alpha-omega-security/threat-model
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/alpha-omega-security-threat-model/install
LLM 文本格式
/api/skills/alpha-omega-security-threat-model/install?format=text
寻找替代方案
/api/skills/search?q=Threat%20Model&limit=3
Agent 提示词
Use Threat Model for this task. Review https://www.openagentskill.com/api/skills/alpha-omega-security-threat-model/install, then install with: npx skills add alpha-omega-security/threat-modelRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Manifest
/api/registry/manifest/alpha-omega-security-threat-model
LLM 文本
/api/registry/manifest/alpha-omega-security-threat-model?format=text
安装别名
/api/registry/install/alpha-omega-security-threat-model
推荐
/api/registry/recommend?task=Use%20Threat%20Model%20in%20an%20agent%20workflow&limit=3
适配 Agent
Security and compliance
平台
Python, Claude Code
Agent 决策面板
Companion skill for Security and compliance
将此 Skill 加入候选列表,并在生产使用前与相近替代方案比较。
栈中角色
辅助 Skill
主要匹配
Security and compliance
信任标签
强候选
安装路径
命令已就绪
适用场景
- Security and compliance 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 72/100 质量档案
- 3 个 OpenAgentSkill 交互事件
先审查
- Low GitHub adoption signal
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次Security and compliance任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
检查28 个 GitHub Stars
Star/Fork 活跃度
检查28 个 Star,5 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 3 天
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 28 GitHub stars
- Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
强 适用于 Agent 工作流的候选
可靠的选择,值得加入生产工作流候选列表。
工作流匹配
在这些场景使用此 Skill
Reduce risk
Security and compliance
I need my agent to scan a project for security risks and summarize what needs attention.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
工作流匹配
加入完整工作流
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
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概览
# Threat Model Generator
A set of [agent skills](https://agentskills.io/) for producing threat models for open-source projects, including an orchestrator and independently invocable specialists.
The output is a document describing the implicit security contract between a project and its downstream users: what the project assumes about its environment and inputs, which security properties it claims, which it explicitly disclaims, and which threats are left to the integrator. It is written to serve two readers at once: the downstream integrator deciding what they are now responsible for, and the maintainer or triager deciding whether an inbound vulnerability report is valid, out of model, or by design.
This is not a vulnerability scanner or audit tool. It produces a contract, not findings.
New to security threat modeling? The [glossary](./skills/threat-model/references/glossary.md) defines the jargon — dispositions, sinks, disclaimed properties, provenance tags — in plain language for maintainers coming at this fresh.
## Install
### Claude Code
``` /plugin marketplace add alpha-omega-security/threat-model /plugin install threat-model@threat-model ```
### Other agents
Any [agentskills.io-compatible](https://agentskills.io/clients) agent can load these skills directly from `skills/`. Clone the repo and point your agent's skill path at that directory, or copy its contents into your project's `.claude/skills/` (or equivalent). Keep the skill folders as siblings — the specialists share the references under `threat-model/references/` via relative paths.
## Usage
Point the agent at a project checkout and invoke the skill:
``` /threat-model:threat-model ```
or ask naturally:
``` Produce a threat model for this project. Is this vulnerability report in scope for our threat model? Draft a SECURITY.md scope section. ```
The skill runs draft-first by default: it orients on the codebase and existing docs, writes a provisional model with every claim tagged documented
平台兼容性
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月19日
- 发布时间
- 2026年8月11日
框架与工具
决策摘要
辅助 Skill
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 Threat Model 准备的场景化草稿,可手动发布到 X。
A practical pick for source-backed research: Threat Model: A collection of agent skills for generating threat model documents for open-source projects, installable via Claude Code or... 28 stars https://www.openagentskill.com/skills/alpha-omega-security-threat-model?ref=x
可选:带安装命令的回复
Listing + install path for Threat Model: https://www.openagentskill.com/skills/alpha-omega-security-threat-model?ref=x Install: npx skills add alpha-omega-security/threat-model
收录来源
社区收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 社区收录 列表归属于 alpha-omega-security,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/alpha-omega-security-threat-model)
[](https://www.openagentskill.com/skills/alpha-omega-security-threat-model)
[](https://www.openagentskill.com/skills/alpha-omega-security-threat-model/audit)
[](https://www.openagentskill.com/skills/alpha-omega-security-threat-model)作者
alpha-omega-security
@alpha-omega-security
平台适配
健康信号
- GitHub Stars
- 28
- 质量评分
- 45/100
- 最近 GitHub 推送
- 2026年8月19日
- 框架提示
- 1
- OpenAgentSkill 浏览量
- 3
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度28 个 GitHub Stars检查
- Star/Fork 活跃度28 个 Star,5 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护距上次推送 3 天通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险公开元数据中未发现主要依赖风险提示通过
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