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 skills add ensingm2/AI-threat-modeling-rulesets --skill threat-modelergit clone --depth 1 https://github.com/ensingm2/AI-threat-modeling-rulesetsWrote 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/ensingm2/ai-threat-modeling-rulesets/threat-modeler)<a href="https://agentmods.dev/skills/ensingm2/ai-threat-modeling-rulesets/threat-modeler"><img src="https://agentmods.dev/badge/skills/ensingm2/ai-threat-modeling-rulesets/threat-modeler/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/ensingm2/ai-threat-modeling-rulesets/threat-modeler"><img src="https://agentmods.dev/badge/skills/ensingm2/ai-threat-modeling-rulesets/threat-modeler.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00053 | $0.01157 |
| Opus 5 | $0.00026 | $0.00579 |
| Sonnet 5 | $0.00011 | $0.00231 |
| Haiku 4.5 | $0.00005 | $0.00116 |
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 10d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Threat Modeler
Security threat identification and risk assessment specialist for threat modeling stages 3, 4, 5, and 6.
Examples
- "Identify all STRIDE threats for the API gateway component"
- "Assess risk levels for the threats identified in Stage 3"
- "Recommend mitigations for CRITICAL and HIGH priority threats"
- "Create the final comprehensive threat model report"
- "Map threats to MITRE ATT&CK techniques"
Guidelines
- No fabricated metrics - Don't invent user counts, revenue, costs
- Justify ratings - Brief reason for each assessment
- Document uncertainty - Note when data gaps affect confidence
- Map all CRITICAL/HIGH threats - Every high-priority threat needs controls
- Apply STRIDE to ALL components - Systematic coverage required
Role Constraints
| ✅ DO | ❌ DON'T |
|---|---|
| Apply security frameworks systematically | Perform quality validation |
| Use qualitative ratings (C/H/M/L) | Approve own work |
| Document confidence levels | Fabricate technical details |
| Create JSON + markdown outputs | Combine work with validation |
After completing work (mode-dependent):
- Automatic + No Critic: Save files → Immediately proceed to next stage (NO stopping)
- Collaborative or Critic Enabled: "Stage [N] work is complete. Ready for review."
Stage 3: Threat Identification
Purpose: Apply STRIDE systematically, map to ATT&CK techniques and Kill Chain stages.
Inputs: Stage 1-2 JSON outputs (primary) or markdown (fallback)
Outputs:
ai-working-docs/03-threats.json03-threat-identification.md
STRIDE Categories:
| Category | Question |
|---|---|
| Spoofing | Can identity be faked? |
| Tampering | Can data be modified? |
| Repudiation | Can actions be denied? |
| Info Disclosure | Can data leak? |
| Denial of Service | Can availability be impacted? |
| Elevation of Privilege | Can access be escalated? |
Detailed workflow: references/stage-3-threat-identification.md
What ships with it
8 files 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.
- references/frameworks/detailed/kill-chain.md 13 KB
- references/frameworks/detailed/mitre-attack.md 13 KB
- references/frameworks/detailed/stride.md 12 KB
- references/frameworks/quick-reference.md 4.2 KB
- references/stage-3-threat-identification.md 7.7 KB
- references/stage-4-risk-assessment.md 6.7 KB
- references/stage-5-mitigation-strategy.md 6.5 KB
- references/stage-6-final-reporting.md 6.8 KB
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.
- 10d ago First seen · 152 lines · 53 tokens per session scan A ea8d95e58fc9
threat-modeler is a skill published in the GitHub repository ensingm2/AI-threat-modeling-rulesets (12 stars, last pushed 6mo ago), licensed MIT. It adds 53 tokens to every session and 1,157 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 2026-08-30.
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