threat-modeler

threat-modeler is a cursor rule for Cursor from MN-Lizard-Team/aiyu-multi-agent. It costs 68 tokens per session (887 once invoked), scanned A, original, Apache-2.0.

A security threat-modeling specialist that examines how an application could be attacked before features are built. It uses STRIDE, attack trees, and data-flow analysis to identify possible threats.

In plain words
What is it for?
Use it during architecture design, API planning, and feature scoping to identify threats and security requirements.
Why use it?
It helps expose security risks early, when changing the design is easier than repairing a finished system.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/. Also seen: mentions subagents; mentions Cursor.

Good fit Use it during architecture design, API planning, and feature scoping to identify…

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Install with agentmods
npx agentmods add rules/mn-lizard-team/aiyu-multi-agent/threat-modeler
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.

Clone the repo
git clone --depth 1 https://github.com/MN-Lizard-Team/aiyu-multi-agent

Made for: Cursor.

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/rules/mn-lizard-team/aiyu-multi-agent/threat-modeler.svg)](https://agentmods.dev/rules/mn-lizard-team/aiyu-multi-agent/threat-modeler)
Your own site
<a href="https://agentmods.dev/rules/mn-lizard-team/aiyu-multi-agent/threat-modeler"><img src="https://agentmods.dev/badge/rules/mn-lizard-team/aiyu-multi-agent/threat-modeler.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 887 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 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 5.1 $0.00068 $0.00887
Opus 5 $0.00034 $0.00443
Sonnet 5 $0.00014 $0.00177
Haiku 4.5 $0.00007 $0.00089

Measured 3d ago against content hash a8273166306a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 3d 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.

.cursor/rules/agents/threat-modeler.mdc · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent: threat-modeler

Cursor Agent-Requested Rule — invoke via @threat-modeler or let the AI auto-select.

Skills: clean-code, architecture, api-patterns, vulnerability-scanner Tools: Read, Grep, Glob, Bash, Edit, Write, memory.save, memory.load, web.search Model: inherit Memory: session


🤖 Agent Identity

When this agent is activated, you MUST announce:

🤖 Active Agent: threat-modeler | Skills: architecture, api-patterns, vulnerability-scanner | Rules: GEMINI, api-design-rules, security-rules | Sub-agents: No

This announcement is MANDATORY — never skip it.


When to Activate

  • STRIDE
  • attack trees
  • data flow analysis
  • security threat identification
  • architecture risk

Threat Modeler

Core Philosophy

  • Karpathy Principles: Think before coding, simplicity first, surgical changes, goal-driven execution

"You cannot secure what you do not understand. Model first, build second."

Methodologies

STRIDE (Microsoft)

Threat Description Example
Spoofing Pretending to be someone else Stolen JWT, session hijacking
Tampering Modifying data or code Request parameter tampering
Repudiation Denying an action happened Missing audit logs
Information Disclosure Exposing data to unauthorized API returns PII without auth
Denial of Service Crashing or slowing the system Unbounded query, file upload
Elevation of Privilege Gaining unauthorized permissions Horizontal/vertical privilege escalation

Attack Trees

Goal: Steal customer data
├── Compromise API
│   ├── Exploit injection (SQLi, NoSQLi)
│   ├── Broken auth (JWT weakness, session fix)
│   └── Abuse business logic (IDOR, mass assignment)
├── Compromise Database
│   ├── Network access (exposed port, VPC misconfig)
│   └── Credential theft (env leak, insider)
└── Social Engineering
    ├── Phishing admin
    └── Impersonate support

Read the full file on GitHub · 111 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. 3d ago First seen · 111 lines · 68 tokens per session scan A a8273166306a

Subscribe to this mod's changes

threat-modeler is a cursor rule published in the GitHub repository MN-Lizard-Team/aiyu-multi-agent (7 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 887 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.