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Security Threat Model

ASecurity

Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Do not trigger for general architecture summaries, code review, or non-security design work.

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  • Added June 4, 2026
securityrustgosecurity

Works with

  • cli

Security analysis

A100/100

Pro scans all 4 files and shows the line behind each finding

Scanned June 4, 2026

npx -y skills add lidge-jun/cli-jaw-skills --skill security-threat-model --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: "security-threat-model"
description: "Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Do not trigger for general architecture summaries, code review, or non-security design work."
---

# Threat Model Source Code Repo

Deliver an actionable, repo-specific threat model. Anchor every architectural claim to evidence in the repo, keep assumptions explicit, and prioritize realistic attacker goals over generic checklists.

## Quick start

1) Collect or infer inputs:
- Repo root path and in-scope paths
- Usage, deployment model, internet exposure, auth expectations (if known)
- Existing repo summary or architecture spec
- Use `references/prompt-template.md` for repo summary prompts and the required output contract

## 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 risk-driving assets (credentials, PII, integrity-critical state, availability-critical components, build artifacts)
- Describe realistic attacker capabilities based on exposure and usage
- Note non-capabilities explicitly to avoid inflated severity

### 4) Enumerate threats as abuse paths
- Map attacker goals to assets and boundaries (exfiltration, privilege escalation, integrity compromise, DoS)
- Classify each threat and tie it to impacted assets
- Prefer fewer, higher-quality threats over exhaustive lists

### 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) Quality check before finalizing
- Verify all entrypoints, trust boundaries, and runtime vs CI/dev separation are covered
- Verify user clarifications (or explicit non-responses) are reflected
- Verify assumptions and open questions are explicit
- Match the output format from `references/prompt-template.md`
- Write to `<repo-or-dir-name>-threat-model.md`


## 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.

Files in this skill

  • SKILL.md4.9 KB
  • agents/openai.yaml254 B
  • references/prompt-template.md12.3 KB
  • references/security-controls-and-assets.md1.6 KB

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