threat-modeling

threat-modeling is a skill for Claude Code, Codex from JustineDevs/premortem. It costs 117 tokens per session (2,530 once invoked), scanned A, a copy of threat-modeling, Apache-2.0.

A structured way to identify security and privacy threats in applications, APIs, and system designs before or during development. It uses methods such as STRIDE, attack trees, and data-flow diagrams to organize the analysis.

In plain words
What is it for?
Use it to analyze architecture documents and OpenAPI specifications, map an application's attack surface, model privacy risks, build attack trees, and prepare reports for stakeholders or auditors.
Why use it?
It helps teams find design risks early, understand how an attack could unfold, and connect each risk with a mitigation or security control.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

Good fit Use it to analyze architecture documents and OpenAPI specifications, map an application's attack surface, model privacy risks, build attack trees, and prepare reports for stakeholders or auditors.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/justinedevs/premortem/threat-modeling
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add JustineDevs/premortem --skill threat-modeling
Clone the repo
git clone --depth 1 https://github.com/JustineDevs/premortem

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for threat-modeling

README.md
[![agentmods](https://agentmods.dev/badge/skills/justinedevs/premortem/threat-modeling/github.svg)](https://agentmods.dev/skills/justinedevs/premortem/threat-modeling)
Your own site
<a href="https://agentmods.dev/skills/justinedevs/premortem/threat-modeling"><img src="https://agentmods.dev/badge/skills/justinedevs/premortem/threat-modeling/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for threat-modeling

Your own site · 80×15
<a href="https://agentmods.dev/skills/justinedevs/premortem/threat-modeling"><img src="https://agentmods.dev/badge/skills/justinedevs/premortem/threat-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,530 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 95% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00117 $0.02530
Opus 5 $0.00059 $0.01265
Sonnet 5 $0.00023 $0.00506
Haiku 4.5 $0.00012 $0.00253

Measured 6d ago against content hash b1e0beab17a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

threat-modeling scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

95% identical to threat-modeling — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/security/threat-modeling/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Threat Modeling

Adversarial design-time analysis: enumerate threats against a system and specify mitigations. This skill routes to methodology files, workflow runbooks, example libraries, and control-catalog references. Extended adversarial reasoning is the core value — spend thinking budget on threat enumeration.

When to Use

  • New system or major architecture change needs security review.
  • An OpenAPI / AsyncAPI spec exists and you want automatic STRIDE-per-interaction.
  • Architecture docs or diagrams need threat analysis.
  • A specific high-impact threat requires attack-tree deep dive.
  • Privacy / personal-data handling needs threat analysis (LINDDUN).
  • Mitigations need mapping to NIST CSF / NIST 800-53 / CIS / OWASP ASVS.
  • Producing a threat model report for stakeholders / auditors.
  • Prioritizing existing threat lists by risk score.

Trigger Phrases

  • "threat model this application / service / API"
  • "identify threats using STRIDE / PASTA / LINDDUN"
  • "create a data flow diagram / DFD"
  • "analyze the attack surface"
  • "build an attack tree for X"
  • "map these threats to NIST / ASVS / CIS controls"

When NOT to Use This Skill

  • Runtime API testing / exploitation of a live endpoint → use api-security (this skill identifies threats; api-security confirms exploitability).
  • Code-level vulnerability discovery in a repo (SAST/DAST/SCA) → use sast-orchestration.
  • Container image CVE scanning → use container-security.
  • Cloud posture misconfigurations → use iac-security / cloud-security skill.
  • Incident response on an active intrusion → this is design-time; use IR playbooks instead.
  • Compliance gap analysis only (no threat enumeration) → use a compliance skill; thread results back here for design changes.

Decision Tree

1. Have an OpenAPI / AsyncAPI spec?
   → workflows/stride_from_openapi.md         (highest-leverage entry point)

2. Have architecture docs or diagrams (or diagram images)?
   → workflows/stride_from_arch_docs.md
     (if diagrams only, first workflows/dfd_creation.md)

3. Need a DFD from scratch?
   → workflows/dfd_creation.md  (emit Mermaid)

4. Already have a high-level threat; need deep path analysis?
   → workflows/attack_tree_from_threat.md

5. Have threats; need mitigations + catalog mappings?
   → workflows/threat_to_mitigation.md

6. Privacy-specific modeling?
   → methodology/linddun.md

7. Enterprise-wide risk?
   → methodology/octave.md

8. Unsure which methodology?
   → references/framework_comparison.md

Read the full file on GitHub · 199 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 199 lines · 117 tokens per session scan A b1e0beab17a4

Subscribe to this mod's changes

threat-modeling is a skill published in the GitHub repository JustineDevs/premortem (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 117 tokens to every session and 2,530 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to threat-modeling, differing in 4 lines, and is treated as a copy.

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