agentleFS
muhammedbassem-pixelmuhammedbassem-pixel/claude-skills/threat-modeling/SKILL.md

threat-modeling

Skill0 starsChanged 2 months agoNo licenceView on GitHub

Facilitate STRIDE threat modeling for an application or infrastructure component following the CyberDefense-ThreatModeling framework — scope the system, build a data-flow diagram and trust boundaries, run STRIDE analysis, produce the full artifact set (Mermaid diagrams, OWASP Threat Dragon model, threat register, risk register), launch Threat Dragon locally via Docker, and optionally create Jira tickets in the VM project for High/Critical risks. Use when the user asks to threat model, run a STRIDE analysis, create/update a threat model, run a threat modeling workshop, build a Threat Dragon model, or assess architectural security risk.

45 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use iac-security, container-security and 8 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • hardw00tSkill

    iac-security

    Infrastructure-as-Code security scanning router for Terraform, CloudFormation, Kubernetes manifests, Helm, ARM/Bicep. Orchestrates Checkov, tfsec, Terrascan, KICS, kubesec, kube-linter, Polaris, cfn-lint/cfn-nag, and OPA/Conftest. Use when auditing IaC for misconfigurations, scanning Terraform plans, validating K8s security policies, checking cloud infrastructure compliance, or authoring custom policy-as-code (Rego).

    Also in 4 projects that use this

  • vbrevikSkill

    container-security

    Scan container images, Dockerfiles, docker-compose files, and Kubernetes manifests for security misconfigurations and vulnerabilities. Uses Trivy for image/IaC scanning and Kubescape for K8s policy compliance. Falls back to regex-based Dockerfile and K8s YAML analysis when tools are unavailable. Produces STIG V-ID-tagged findings for /stig-compliance pipeline. Use when (1) reviewing Docker or K8s configuration changes, (2) scanning container images for OS-level CVEs, (3) validating K8s RBAC and NetworkPolicy configuration, (4) before deployment. Works air-gapped with pre-downloaded vulnerability database.

    Also in 4 projects that use this

  • wgpsecSkill

    prompt-injection

    AI/LLM 间接 Prompt 注入攻击。当目标 AI 系统会处理外部数据源(网页、文档、邮件、数据库、API 返回)时使用。覆盖间接注入、工具链劫持、RAG 投毒、数据外泄等技术。OWASP LLM Top 10 #1 漏洞类别

    Also in 4 projects that use this

  • jefflesterSkill

    api-security

    API security best practices and common vulnerability prevention. Enforces security checks for authentication, input validation, SQL injection, XSS, and OWASP Top 10 vulnerabilities. Use when building or modifying APIs.

    Also in 3 projects that use this

  • OpenAISkill

    observability

    Vercel Observability expert guidance — Drains (logs, traces, speed insights, web analytics), Web Analytics, Speed Insights, runtime logs, custom events, OpenTelemetry integration, and monitoring dashboards. Use when instrumenting, debugging, or optimizing application performance and user experience on Vercel.

    Also in 5 projects that use this

  • MicrosoftSkill

    api-design

    Guide for designing and documenting RESTful APIs. Use when asked to design an API, create endpoints, or document an API.

    Also in 7 projects that use this

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 40 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 40 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.