threat-modeling
Skill47 starsChanged 5 months agoMITView on GitHub
Use when starting a security assessment and you need to map an application's attack surface, enumerate trust boundaries, and rank what to test first — before auditing code or running tools. Produces a prioritized target list.
45 other projects use a version of this.
Adopted by
Most recently taken up by
- kinhluan/skillstheir own version, first seen Nov 8, 2026
- AxlZero21/Skillstheir own version, first seen Nov 8, 2026
- bepaldes/heimdall-agenttheir own version, first seen Nov 8, 2026
- reddygopalkrishna/developer-agent-skillstheir own version, first seen Nov 8, 2026
- SWEStash/swe-workflow-skillstheir own version, first seen Nov 8, 2026
- nledford/engineering-review-boardtheir own version, first seen Nov 3, 2026
Used with
Projects with it also use iac-security, container-security and 10 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.
hardw00tSkilliac-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
vbrevikSkillcontainer-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
wgpsecSkillprompt-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
allanninalSkillthreat-hunting
Hunt threats using Sigma detection rules and security analysis techniques. Use when investigating security incidents, creating detection rules, or analyzing suspicious activity.
Also in 3 projects that use this
narlyseorgSkillsecure-code-review
Use when reviewing source code for security vulnerabilities, performing static analysis of a codebase, auditing code for injection flaws, authentication issues, cryptographic weaknesses, insecure deserialization, SSRF, path traversal, memory safety bugs, hardcoded secrets, or misconfigurations. Use when the user asks to find security bugs in code, assess code quality from a security perspective, or review pull requests for security implications. Use when performing dependency audits, secrets scanning, or configuration review of application source.
Also in 3 projects that use this
jefflesterSkillapi-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
Other versions45 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 45
- briiirussell/cybersecurity-skills★ 489same name
- fr33d3m0n/skill-threat-modeling★ 347same name
- proflead/codex-skills-library★ 153same name
- hardw00t/ai-security-arsenal★ 101same name
- nahid-sparktales/agent-dispatcher★ 59same name
- kumaran-is/claude-code-onboarding★ 35same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- ulises-jeremias/agent-toolkit★ 19same name
- Indium-AI-Labs/indium-agentkit★ 18same name
- awarexone/AXguard★ 17same name
35 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- access-control-testingSkill
- active-pentestSkill
- api-security-testingSkill
- authentication-testingSkill
- business-logic-testingSkill
- client-side-exploitationSkill
- file-upload-and-ssrfSkill
- injection-testingSkill
- pentest-reportingSkill
- recon-and-osintSkill
- secrets-management-auditSkill
- security-code-auditSkill
- security-hardeningSkill
- security-testingSkill
- vulnerability-chainingSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 40 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
Test high scores first.
“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.
Files
Threat Modeling (PLAN phase)
Overview
Decide what to worry about and test first before spending effort. Map assets, entry points, and trust boundaries; apply STRIDE; rank risks by likelihood × impact.
Core principle: You can't test everything. Spend effort where a break hurts most.
Process
- Inventory assets — What's valuable? (user data, money, credentials, PII, admin control, IP)
- Map entry points — Every place untrusted input enters: routes/endpoints, forms, file uploads, query params, headers, webhooks, message queues, mobile API calls, third-party callbacks.
- Draw trust boundaries — Where does data cross from less-trusted to more-trusted? (browser→API, API→DB, service→service, user→admin). Bugs cluster on these lines.
- Apply STRIDE per boundary/component — see
references/stride-and-surface.md. - Rank — score each threat:
risk = likelihood × impact(1–3 each → 1–9). Test high scores first.
Quick reference — STRIDE
| Threat | Question | Defends |
| Spoofing | Can someone pretend to be another user/service? | Authentication |
| Tampering | Can data be modified in transit/at rest? | Integrity |
| Repudiation | Can an action be denied / is it logged? | Non-repudiation |
| Information disclosure | Can data leak? | Confidentiality |
| Denial of service | Can it be made unavailable? | Availability |
| Elevation of privilege | Can a user gain rights they shouldn't? | Authorization |
Output: prioritized target list
A table the next phases consume:
| # | Asset | Entry point | STRIDE | Likelihood | Impact | Risk | Test via |
| 1 | User PII | GET /api/users/:id | I (IDOR) | 3 | 3 | 9 | code-audit + active-pentest |
| 2 | Auth | POST /login | S | 2 | 3 | 6 | code-audit |
Hand-off
Feed the top items into security-code-audit (find) and active-pentest (validate).
The surface inventory is also the applicability driver. It tells the security-testing
orchestrator which specialists apply (surface present → run) and which to skip (absent → N/A),
and exposes any surface with no matching specialist as a coverage gap to handle with the
generic methodology + a recommendation to build a new skill. List every surface you found —
including ones no current skill covers — so nothing is silently missed.
Common mistakes
- Modeling the happy path only — attackers use the unhappy paths.
- Forgetting internal/trusted entry points (admin panels, internal APIs, cron, queues).
- Treating all findings as equal — rank, or you'll drown in low-value work.
Does it work?
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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.

