threat-modeling

threat-modeling is a skill for Claude Code, Codex from EvilFreelancer/secs. It costs 117 tokens per session (2,534 once invoked), scanned A, original, Apache-2.0.

A structured security review that identifies threats against applications, APIs, and systems and records possible mitigations. It can use methods such as STRIDE, attack trees, and privacy-focused analysis, with data-flow diagrams to show how information moves.

In plain words
What is it for?
Use it for new systems, major architecture changes, OpenAPI or AsyncAPI reviews, attack-surface analysis, privacy assessments, and security reports.
Why use it?
It helps teams find security and privacy problems during design, before they become harder and more expensive to fix.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/evilfreelancer/secs/threat-modeling
Any agent
npx skills add EvilFreelancer/secs --skill threat-modeling
Clone the repo
git clone --depth 1 https://github.com/EvilFreelancer/secs

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/evilfreelancer/secs/threat-modeling.svg)](https://agentmods.dev/skills/evilfreelancer/secs/threat-modeling)
Your own site
<a href="https://agentmods.dev/skills/evilfreelancer/secs/threat-modeling"><img src="https://agentmods.dev/badge/skills/evilfreelancer/secs/threat-modeling.svg" alt="Measured on agentmods" 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 2,534 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00117 $0.02534
Opus 5 $0.00059 $0.01267
Sonnet 5 $0.00023 $0.00507
Haiku 4.5 $0.00012 $0.00253

Measured 5d ago against content hash be2c5878b0e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 5d 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

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/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 testing-apis (this skill identifies threats; testing-apis confirms exploitability).
  • Code-level vulnerability discovery in a repo (SAST/DAST/SCA) → use auditing-code-for-vulnerabilities.
  • 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. 5d ago First seen · 199 lines · 117 tokens per session scan A be2c5878b0e2

Subscribe to this mod's changes

threat-modeling is a skill published in the GitHub repository EvilFreelancer/secs (10 stars, last pushed 26d ago), licensed Apache-2.0. It adds 117 tokens to every session and 2,534 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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