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.
/plugin marketplace add suyogpawar88/Threat-Modelnpx agentmods add plugins/suyogpawar88/threat-model/threat-modelgit clone --depth 1 https://github.com/suyogpawar88/Threat-ModelWrote 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.
[](https://agentmods.dev/plugins/suyogpawar88/threat-model/threat-model)<a href="https://agentmods.dev/plugins/suyogpawar88/threat-model/threat-model"><img src="https://agentmods.dev/badge/plugins/suyogpawar88/threat-model/threat-model.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
Threat-Model Agent 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.
What it actually says
{
"name": "Threat-Model Agent",
"version": "0.3.0",
"description": "Pulls context from Jira, Jenkins, ServiceNow, and a code repository, then runs an end-to-end threat model covering both conventional application/API systems and AI/ML/LLM infrastructure: data flow diagram, trust boundaries, threat actors, STRIDE threat register (optionally full 7-stage PASTA), AI/ML-specific threats (prompt injection, training/RAG data poisoning, model extraction, excessive agency), a Page/API/Module-scoped AppSec/penetration-testing test case plan, attack-chain mapping, compensating-controls assessment, and gap-based recommendations -- with every threat mapped to OWASP Top 10 / OWASP API Security Top 10 / OWASP Top 10 for LLM Applications and MITRE ATT&CK / MITRE ATLAS. Outputs a Word report, an Excel risk register (with a Pentest Test Cases sheet), draw.io-compatible diagrams, and/or a standalone Excel pentest checklist. Defaults to Claude Sonnet for cost-efficient analysis; reasoning model is user-configurable. Also runs under OpenAI Codex CLI (AGENTS.md) and Cursor (.cursor/rules + .cursor/mcp.json).",
"author": {
"name": "Suyog Pawar"
},
"homepage": "https://github.com/suyogpawar88/Threat-Model",
"repository": "https://github.com/suyogpawar88/Threat-Model",
"license": "MIT",
"keywords": [
"threat-modeling",
"appsec",
"devsecops",
"stride",
"pasta",
"risk-assessment",
"security",
"drawio",
"ai-security",
"llm-security",
"owasp",
"mitre-attack",
"mitre-atlas",
"rag",
"agentic-ai",
"pentest",
"penetration-testing"
],
"mcpServers": "./.mcp.json"
}
What it installs
The manifest is a name and a version. 1 skill, 4 MCP servers travel with it, and installing the plugin installs all of them — 346 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What ships with it
1 file beside plugin.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 32 lines scan A 44e91540f4ae
Threat-Model Agent is a plugin published in the GitHub repository suyogpawar88/Threat-Model (6 stars, last pushed 1mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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