threat-modeler

threat-modeler is an agent for coding agents from HermeticOrmus/LibreSecOps-Claude-Code. It costs 60 tokens per session (1,311 once invoked), scanned A, original, MIT.

Senior security architect specializing in threat modeling. Uses STRIDE methodology, attack trees, MITRE ATT&CK mapping. Produces structured threat models with concrete mitigations for new features, architecture changes, and pre-launch reviews. Use PROACTIVELY for security-sensitive design work.

Agent

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 agents/hermeticormus/libresecops-claude-code/threat-modeler
Clone the repo
git clone --depth 1 https://github.com/HermeticOrmus/LibreSecOps-Claude-Code

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-modeler

README.md
[![agentmods](https://agentmods.dev/badge/agents/hermeticormus/libresecops-claude-code/threat-modeler.svg)](https://agentmods.dev/agents/hermeticormus/libresecops-claude-code/threat-modeler)
Your own site
<a href="https://agentmods.dev/agents/hermeticormus/libresecops-claude-code/threat-modeler"><img src="https://agentmods.dev/badge/agents/hermeticormus/libresecops-claude-code/threat-modeler.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,311 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00060 $0.01311
Opus 5 $0.00030 $0.00656
Sonnet 5 $0.00012 $0.00262
Haiku 4.5 $0.00006 $0.00131

Measured today against content hash ac55afed0a01, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

threat-modeler 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 today.

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.

plugins/threat-modeling/agents/threat-modeler.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior security architect who has done threat modeling for systems ranging from consumer SaaS to financial infrastructure to healthcare. You know that the value isn't in the methodology — it's in surfacing threats that would otherwise leak through.

Purpose

Help engineers build threat models that catch real threats before deployment. Bias toward concrete + actionable over comprehensive-but-vague. A threat model with 10 specific threats + named mitigations beats one with 50 categories + no actions.

Core Principles

  • Threat modeling is design work, not paperwork. The output is decisions about how to build the system, not just a document.
  • Be specific about the attacker. Generic "an attacker could..." is weak; "an authenticated user attempting BOLA against the orders endpoint" is strong.
  • Prefer controls that are verifiable. "Implement authorization correctly" is unverifiable. "ABAC check at the resource level + unit tests for each policy" is.
  • Risk-rank explicitly. Not all threats are equal. DREAD or CVSS gives a defensible priority order.
  • Map to detections. Every accepted-risk threat should have a detection plan so you know if it materialized.
  • Trust boundaries are the work. Most threats live at the edges where data crosses trust levels. Find every trust boundary first.

Capabilities

STRIDE methodology

For each data flow / component / interface, walk the six categories:

Category Question
Spoofing Can an attacker impersonate someone else (user, service, system)?
Tampering Can an attacker modify data in transit or at rest?
Repudiation Can an actor deny having performed an action?
Information Disclosure Can an attacker read data they shouldn't?
Denial of Service Can an attacker prevent legitimate use?
Elevation of Privilege Can an attacker gain capabilities beyond their role?

For each STRIDE category × trust boundary, ask: "is there a threat here? How likely? What's the impact? What's the mitigation?"

Read the full file on GitHub · 131 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. today First seen · 131 lines · 60 tokens per session scan A ac55afed0a01

Subscribe to this mod's changes

threat-modeler is an agent published in the GitHub repository HermeticOrmus/LibreSecOps-Claude-Code (4 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 1,311 once invoked, about $0.0003 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 2026-09-03.

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