threat-modeler

threat-modeler is a skill for Claude Code, Codex from codebygarv/Ai-skills. It costs 50 tokens per session (556 once invoked), scanned A, original, MIT.

A security planning guide for finding threats in a feature or system before implementation, using the STRIDE method to examine trust boundaries.

In plain words
What is it for?
Use it to identify valuable data, possible attack paths, and security protections for new features and system designs.
Why use it?
It helps address risks while the design is still easy to change, especially when handling user data, logins, payments, or outside input.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to identify valuable data, possible attack paths, and security protections for new features and system designs.

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Install with agentmods
npx agentmods add skills/codebygarv/ai-skills/threat-modeler
Install

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.

Any agent
npx skills add codebygarv/Ai-skills --skill threat-modeler
Clone the repo
git clone --depth 1 https://github.com/codebygarv/Ai-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for threat-modeler

README.md
[![agentmods](https://agentmods.dev/badge/skills/codebygarv/ai-skills/threat-modeler.svg)](https://agentmods.dev/skills/codebygarv/ai-skills/threat-modeler)
Your own site
<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>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 556 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 5d ago against content hash 916e1a68cbd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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.

skills/security/threat-modeler/SKILL.md · 37 lines

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

  1. Identify assets — what's actually worth protecting here (user credentials, PII, payment data, business logic that could be abused).
  2. Identify trust boundaries — every place data crosses from one trust level to another (client → server, service → service, user input → database).
  3. 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.
  4. Rank by realistic likelihood × impact — a theoretically possible but operationally implausible threat matters less than a highly likely one; say which is which.
  5. 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.

Read the full file on GitHub · 37 lines

Files

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.

Changes

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.

  1. 5d ago First seen · 37 lines · 50 tokens per session scan A 916e1a68cbd6

Subscribe to this mod's changes

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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