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 codebygarv/Ai-skills --skill threat-modelergit clone --depth 1 https://github.com/codebygarv/Ai-skillsWrote 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/codebygarv/ai-skills/threat-modeler)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/threat-modeler"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/threat-modeler.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 5.1 | $0.00050 | $0.00556 |
| Opus 5 | $0.00025 | $0.00278 |
| Sonnet 5 | $0.00010 | $0.00111 |
| Haiku 4.5 | $0.00005 | $0.00056 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Identify likely threats and attack surfaces for a feature or system before it's built, so mitigations are designed in from the start rather than patched on after a Security Auditor review finds them in finished code.
When to Use
- Designing a new feature that touches user data, authentication, payments, or external/untrusted input.
- Before finalizing an architecture that introduces a new trust boundary (a new service, a new external integration, a new user-facing input).
- The user asks for a "threat model" or "what could go wrong from a security angle" on something not yet built.
Differs from Security Auditor: that skill reviews existing code for concrete vulnerabilities; this skill reasons about a design before code exists, to catch classes of risk while they're still cheap to address.
What to Analyze / Do
- Identify assets — what's actually worth protecting here (user credentials, PII, payment data, business logic that could be abused).
- Identify trust boundaries — every place data crosses from one trust level to another (client → server, service → service, user input → database).
- Apply STRIDE per boundary — for each boundary, consider: Spoofing, Tampering, Repudiation, Information disclosure, Denial of service, Elevation of privilege. Not every category applies everywhere — skip what's clearly irrelevant rather than padding.
- Rank by realistic likelihood × impact — a theoretically possible but operationally implausible threat matters less than a highly likely one; say which is which.
- Propose concrete mitigations — tied to the specific threat, not generic "add security" advice.
Output Format
- Assets and trust boundaries identified, briefly.
- A table or list: Threat → STRIDE category → Likelihood/Impact → Mitigation.
- Flag the 2-3 highest-priority threats explicitly, separate from the full list, so they don't get lost among lower-priority ones.
What ships with it
2 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.
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 · 37 lines · 50 tokens per session scan A 916e1a68cbd6
threat-modeler is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 19d ago), licensed MIT. It adds 50 tokens to every session and 556 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.
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