security-threat-model

Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Use when the user asks to threat model a codebase or path, enumerate threats or abuse paths, or perform AppSec threat modeling. Do NOT use for general architecture summaries, code review, security best practices (use security-best-practices), or non-security design work.

23 stars

Best use case

security-threat-model is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Use when the user asks to threat model a codebase or path, enumerate threats or abuse paths, or perform AppSec threat modeling. Do NOT use for general architecture summaries, code review, security best practices (use security-best-practices), or non-security design work.

Teams using security-threat-model should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/security-threat-model/SKILL.md --create-dirs "https://raw.githubusercontent.com/christophacham/agent-skills-library/main/skills/security/security-threat-model/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/security-threat-model/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How security-threat-model Compares

Feature / Agentsecurity-threat-modelStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Use when the user asks to threat model a codebase or path, enumerate threats or abuse paths, or perform AppSec threat modeling. Do NOT use for general architecture summaries, code review, security best practices (use security-best-practices), or non-security design work.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Threat Model Source Code Repo

Deliver an actionable AppSec-grade threat model that is specific to the repository or a project path, not a generic checklist. Anchor every architectural claim to evidence in the repo and keep assumptions explicit. Prioritizing realistic attacker goals and concrete impacts over generic checklists.

## Quick start

1. Collect (or infer) inputs:

- Repo root path and any in-scope paths.
- Intended usage, deployment model, internet exposure, and auth expectations (if known).
- Any existing repository summary or architecture spec.
- Use prompts in `references/prompt-template.md` to generate a repository summary.
- Follow the required output contract in `references/prompt-template.md`. Use it verbatim when possible.

## Workflow

### 1) Scope and extract the system model

- Identify primary components, data stores, and external integrations from the repo summary.
- Identify how the system runs (server, CLI, library, worker) and its entrypoints.
- Separate runtime behavior from CI/build/dev tooling and from tests/examples.
- Map the in-scope locations to those components and exclude out-of-scope items explicitly.
- Do not claim components, flows, or controls without evidence.

### 2) Derive boundaries, assets, and entry points

- Enumerate trust boundaries as concrete edges between components, noting protocol, auth, encryption, validation, and rate limiting.
- List assets that drive risk (data, credentials, models, config, compute resources, audit logs).
- Identify entry points (endpoints, upload surfaces, parsers/decoders, job triggers, admin tooling, logging/error sinks).

### 3) Calibrate assets and attacker capabilities

- List the assets that drive risk (credentials, PII, integrity-critical state, availability-critical components, build artifacts).
- Describe realistic attacker capabilities based on exposure and intended usage.
- Explicitly note non-capabilities to avoid inflated severity.

### 4) Enumerate threats as abuse paths

- Prefer attacker goals that map to assets and boundaries (exfiltration, privilege escalation, integrity compromise, denial of service).
- Classify each threat and tie it to impacted assets.
- Keep the number of threats small but high quality.

### 5) Prioritize with explicit likelihood and impact reasoning

- Use qualitative likelihood and impact (low/medium/high) with short justifications.
- Set overall priority (critical/high/medium/low) using likelihood x impact, adjusted for existing controls.
- State which assumptions most influence the ranking.

### 6) Validate service context and assumptions with the user

- Summarize key assumptions that materially affect threat ranking or scope, then ask the user to confirm or correct them.
- Ask 1–3 targeted questions to resolve missing context (service owner and environment, scale/users, deployment model, authn/authz, internet exposure, data sensitivity, multi-tenancy).
- Pause and wait for user feedback before producing the final report.
- If the user declines or can’t answer, state which assumptions remain and how they influence priority.

### 7) Recommend mitigations and focus paths

- Distinguish existing mitigations (with evidence) from recommended mitigations.
- Tie mitigations to concrete locations (component, boundary, or entry point) and control types (authZ checks, input validation, schema enforcement, sandboxing, rate limits, secrets isolation, audit logging).
- Prefer specific implementation hints over generic advice (e.g., "enforce schema at gateway for upload payloads" vs "validate inputs").
- Base recommendations on validated user context; if assumptions remain unresolved, mark recommendations as conditional.

### 8) Run a quality check before finalizing

- Confirm all discovered entrypoints are covered.
- Confirm each trust boundary is represented in threats.
- Confirm runtime vs CI/dev separation.
- Confirm user clarifications (or explicit non-responses) are reflected.
- Confirm assumptions and open questions are explicit.
- Confirm that the format of the report matches closely the required output format defined in prompt template: `references/prompt-template.md`
- Write the final Markdown to a file named `<repo-or-dir-name>-threat-model.md` (use the basename of the repo root, or the in-scope directory if you were asked to model a subpath).

## Risk prioritization guidance (illustrative, not exhaustive)

- High: pre-auth RCE, auth bypass, cross-tenant access, sensitive data exfiltration, key or token theft, model or config integrity compromise, sandbox escape.
- Medium: targeted DoS of critical components, partial data exposure, rate-limit bypass with measurable impact, log/metrics poisoning that affects detection.
- Low: low-sensitivity info leaks, noisy DoS with easy mitigation, issues requiring unlikely preconditions.

## References

- Output contract and full prompt template: `references/prompt-template.md`
- Optional controls/asset list: `references/security-controls-and-assets.md`

Only load the reference files you need. Keep the final result concise, grounded, and reviewable.

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