Threat Modeling MCP Server is an MCP server that guides an AI coding agent through structured security threat modeling and code validation. It analyzes business context, architecture, assets, trust boundaries, and threat actors, then produces Markdown or JSON reports using a phased STRIDE-based process. The catalogue skills operate this workflow through compatible agent clients.
Borrowing it
Nothing to install: this file belongs to awslabs/threat-modeling-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/awslabs/threat-modeling-mcp-server/main/.kiro/skills/phase-9-output-generation/SKILL.mdgit clone --depth 1 https://github.com/awslabs/threat-modeling-mcp-serverWrote 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/skills/awslabs/threat-modeling-mcp-server/phase-9-output-generation)<a href="https://agentmods.dev/skills/awslabs/threat-modeling-mcp-server/phase-9-output-generation"><img src="https://agentmods.dev/badge/skills/awslabs/threat-modeling-mcp-server/phase-9-output-generation/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.
<a href="https://agentmods.dev/skills/awslabs/threat-modeling-mcp-server/phase-9-output-generation"><img src="https://agentmods.dev/badge/skills/awslabs/threat-modeling-mcp-server/phase-9-output-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.00855 |
| Opus 5 | $0.00018 | $0.00428 |
| Sonnet 5 | $0.00007 | $0.00171 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
phase-9-output-generation 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 12d 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.
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.
Phase 9: Output Generation and Documentation
Objective
Generate final deliverables: Threat Composer-compatible JSON export and human-readable Markdown report. All files are saved to the .threatmodel/ directory.
Tools Reference
export_threat_model
Exports the current model and includes a state summary in the response.
- Omit
output_pathto use a timestamped filename - Pass
output_path="my_model.json"to choose a base path and filename - Generates BOTH
.tc.jsonand.mdfiles - Saves both files to the adjacent
.threatmodel/directory - JSON is Threat Composer compatible (schema version 1)
The comprehensive export includes current threat and mitigation statuses. Extended JSON and Markdown also include residual-risk assessments; the standard Threat Composer fields remain unchanged.
Progress Tools
manage_workflow(action="progress")-- Final progress summary with phase completionmanage_assumptions(action="list")-- All documented assumptions
Output Files
JSON Export (Threat Composer Compatible)
.threatmodel/comprehensive_threat_model_YYYYMMDD_HHMMSS.tc.json
Schema (version 1):
{
"schema": 1,
"applicationInfo": { "name": "", "description": "" },
"architecture": { "description": "" },
"dataflow": { "description": "" },
"assumptions": [...],
"mitigations": [...],
"assumptionLinks": [],
"mitigationLinks": [...],
"threats": [...]
}
Threat Composer Field Constraints
| Field | Max Length |
|---|---|
| threatSource | 200 chars |
| prerequisites | 200 chars |
| threatAction | 200 chars |
| threatImpact | 200 chars |
| statement | 1400 chars |
| tags (each) | 30 chars |
Threat Composer Status Values
| Threats | Mitigations |
|---|---|
| threatIdentified | mitigationIdentified |
| threatResolved | mitigationInProgress |
| threatResolvedNotUseful | mitigationResolved |
| mitigationResolvedWillNotAction |
Markdown Export (Human-Readable)
.threatmodel/comprehensive_threat_model_YYYYMMDD_HHMMSS.md
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.
- 12d ago First seen · 111 lines · 37 tokens per session scan A 1cbbeb0fa5d4
phase-9-output-generation is a skill published in the GitHub repository awslabs/threat-modeling-mcp-server (101 stars, last pushed 16d ago), licensed Apache-2.0. It adds 37 tokens to every session and 855 once invoked, about $0.0002 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 2026-08-30.
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