threat-model

threat-model is a skill for Claude Code, Codex from pproenca/dot-skills. It costs 116 tokens per session (1,451 once invoked), scanned A, original, MIT.

A security review method that maps a codebase's attack surface, trust boundaries, protected assets, and the paths untrusted data can take through the system.

In plain words
What is it for?
It helps assess authentication, cryptography, file handling, networking, native bridges, pull requests, architectural changes, and security incidents.
Why use it?
It helps reveal security risks and connected attack paths before they become incidents, including risks introduced by new security-sensitive features or code changes.

Skill for Claude CodeCodex

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

Good fit It helps assess authentication, cryptography, file handling, networking, native bridges, pull requests, architectural changes, and security incidents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pproenca/dot-skills/threat-model
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 pproenca/dot-skills --skill threat-model
Clone the repo
git clone --depth 1 https://github.com/pproenca/dot-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-model

README.md
[![agentmods](https://agentmods.dev/badge/skills/pproenca/dot-skills/threat-model/github.svg)](https://agentmods.dev/skills/pproenca/dot-skills/threat-model)
Your own site
<a href="https://agentmods.dev/skills/pproenca/dot-skills/threat-model"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/threat-model/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.

agentmods 80×15 button for threat-model

Your own site · 80×15
<a href="https://agentmods.dev/skills/pproenca/dot-skills/threat-model"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/threat-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,451 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00116 $0.01451
Opus 5 $0.00058 $0.00726
Sonnet 5 $0.00023 $0.00290
Haiku 4.5 $0.00012 $0.00145

Measured 6d ago against content hash 2f24082396cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

threat-model 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 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/scan-patterns.sh, scripts/trace-data-flows.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/.experimental/threat-model/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Threat Model

Produces structured, evidence-backed security threat models for any codebase. Goes beyond surface enumeration by tracing untrusted data through actual code paths, clustering findings by root cause, and constructing exploit chains that combine individual findings into higher-severity attack paths.

When to Apply

  • User asks to threat model, security review, or map attack surfaces for a codebase
  • Starting work on security-sensitive features (auth, crypto, file I/O, networking, native bridges)
  • Evaluating a new codebase or major architectural change for security implications
  • Reviewing a PR or recent commits for security regressions (incremental/diff mode)
  • After a security incident to reassess the threat landscape

Workflow Overview

Phase 0 (conditional): Diff Analysis — if git range provided, scope to changed code
Phase 1:  Codebase Survey        → Understand what the project is and does
Phase 2:  Component Mapping      → Identify components, data flows, and language bridges
Phase 3:  Asset Identification   → Determine what needs protecting
Phase 4:  Trust Boundaries       → Classify inputs by trust level, inventory entry points
Phase 5:  Data Flow Tracing      → Follow untrusted values from entry to sink ← key technique
Phase 6:  Attack Surface Enum    → Document surfaces with traced evidence
Phase 7:  Pattern Clustering     → Group 3+ similar findings by root cause
Phase 8:  Exploit Chains         → Combine findings into multi-step attack paths
Phase 9:  Calibration            → Rate with chain-adjusted and systemic severity
Phase 10: Output                 → Write structured THREAT-MODEL.md

How to Use

  1. Read methodology for the detailed approach at each phase
  2. Read output format for the document structure (6 sections)
  3. Consult attack patterns for technology-specific patterns
  4. Run scripts/trace-data-flows.sh <project-root> to inventory entry points and sinks
  5. Optionally run scripts/scan-patterns.sh <project-root> for security-relevant code patterns

Read the full file on GitHub · 99 lines

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. 6d ago First seen · 99 lines · 116 tokens per session scan A 2f24082396cf

Subscribe to this mod's changes

threat-model is a skill published in the GitHub repository pproenca/dot-skills (205 stars, last pushed 25d ago), licensed MIT. It adds 116 tokens to every session and 1,451 once invoked, about $0.0006 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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