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.
npx agentmods add skills/factory-ai/factory-plugins/threat-model-generationnpx skills add Factory-AI/factory-plugins --skill threat-model-generationgit clone --depth 1 https://github.com/Factory-AI/factory-pluginsWrote 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/factory-ai/factory-plugins/threat-model-generation)<a href="https://agentmods.dev/skills/factory-ai/factory-plugins/threat-model-generation"><img src="https://agentmods.dev/badge/skills/factory-ai/factory-plugins/threat-model-generation.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00033 | $0.01816 |
| Opus 5 | $0.00016 | $0.00908 |
| Sonnet 5 | $0.00007 | $0.00363 |
| Haiku 4.5 | $0.00003 | $0.00182 |
Grade A, and why
threat-model-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 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
1 file beside SKILL.md 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 · 281 lines · 33 tokens per session scan A 1dabb20a1ba8
threat-model-generation is a skill published in the GitHub repository Factory-AI/factory-plugins (106 stars, last pushed yesterday), with no licence file. It adds 33 tokens to every session and 1,816 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.
Other skills, from other repositories
mk:cso
Chief Security Officer mode. Infrastructure-first security audit: secrets archaeology, dependency supply chain, CI/CD pipeline security, LLM/AI security, skill supply chain scanning, plus OWASP Top 10, STRIDE threat modeling, and active verification. Two modes: daily (zero-noise, 8/10 confidence gate) and…
performing-threat-modeling-with-owasp-threat-dragon
Use OWASP Threat Dragon to create data flow diagrams, identify threats using STRIDE and LINDDUN methodologies, and generate threat model reports for secure design review.
security
Run authorized, evidence-preserving security reviews and prepare remediation inputs.
threat-model-authoring
Draft phase 3.5 of a threat model from the orientation brief, surface analysis, and maintainer answers. USE WHEN writing threat-model.md to the canonical §1.1–§1.19 structure. Combines concise prose with the §1.7 trust table and contract matrix, §1.8 output statements, §1.17 disposition table, §1.1 triager…
threat-model-recon
Orient and mine an open-source repository for threat-model production phases 3.1–3.2. USE WHEN starting a threat model or surveying security posture before modeling. Reads README, top-level docs, SECURITY/THREAT docs, maintainer issue rulings, and changelog rationale; carves component families; flags…
threat-model-sidecar
Emit and validate the §1.19 machine-readable companions: threat-model.yaml using schema threat-model-sidecar/v2, and the flat threat-model.json export conforming to schema.json. USE WHEN an orchestrated threat model is ready for publication, automated or AI-assisted triage, dependency compatibility analysis, or…