security

security is a skill for Claude Code, Codex from 0xrafasec/ai-workflow. It costs 77 tokens per session (947 once invoked), scanned A, original, MIT.

A skill for creating or updating a STRIDE-style threat model in docs/THREATMODEL.md. A threat model records how a system could be attacked, where trust changes, and which protections are needed; STRIDE is a framework for organizing common threat types.

In plain words
What is it for?
It is for reviewing an application’s security surface and writing a threat model covering architecture, attack paths, and defenses before launch or during major changes.
Why use it?
It turns a security review into a documented examination of trust boundaries, exposed interfaces, authentication, authorization, inputs, secrets, and mitigations.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/0xrafasec/ai-workflow/security
Any agent
npx skills add 0xrafasec/ai-workflow --skill security
Clone the repo
git clone --depth 1 https://github.com/0xrafasec/ai-workflow

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 security

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/security.svg)](https://agentmods.dev/skills/0xrafasec/ai-workflow/security)
Your own site
<a href="https://agentmods.dev/skills/0xrafasec/ai-workflow/security"><img src="https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/security.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 947 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00077 $0.00947
Opus 5 $0.00039 $0.00474
Sonnet 5 $0.00015 $0.00189
Haiku 4.5 $0.00008 $0.00095

Measured 4d ago against content hash b295c1bca9f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

security 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 4d 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/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create the threat model. Argument: $ARGUMENTS

Context Gathering

Before interviewing, understand the system's security surface:

  1. Check for existing docs:

    • Read docs/THREAT_MODEL.md — if revising, don't start from scratch
    • Read docs/ARCHITECTURE.md for system structure and trust boundaries
    • Read CLAUDE.md, README.md
  2. Explore the codebase for security-relevant patterns:

    • Look for auth middleware, JWT handling, session management
    • Check for input validation patterns (or lack thereof)
    • Look for database queries (raw SQL vs ORM/parameterized)
    • Check for secrets management (env vars, config files, hardcoded values)
    • Check for exposed endpoints (route definitions, API handlers)
    • Read docker-compose.yml or deployment config for service exposure
    • Summarize what you found to the user — "Here's what I see from a security perspective: ..."

Interview

Use AskUserQuestion to understand the security landscape. Adapt based on what the codebase reveals.

  1. Trust boundaries — What is trusted? What is untrusted? Where are the boundaries?
  2. Authentication — How do users/agents/services prove identity? What mechanisms exist today?
  3. Authorization — Who can do what? How are permissions modeled?
  4. Sensitive data — What data is sensitive? Credentials, PII, financial? Where does it live? How is it protected at rest and in transit?
  5. Attack surface — What is exposed to the internet? To local users? To other services? What inputs does the system accept?
  6. Threat actors — Who would attack this? Script kiddies, insiders, nation states? What are their capabilities?
  7. Compliance — Any regulatory requirements? SOC2, GDPR, HIPAA, PCI?
  8. Existing security measures — What's already in place? What's missing?

For inherited projects: "I see you're using X for auth — is that intentional or legacy? I notice Y has no input validation — is that a known gap?"

Write

Write to docs/THREAT_MODEL.md:

Read the full file on GitHub · 104 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. 4d ago First seen · 104 lines · 77 tokens per session scan A b295c1bca9f9

Subscribe to this mod's changes

security is a skill published in the GitHub repository 0xrafasec/ai-workflow (9 stars, last pushed 25d ago), licensed MIT. It adds 77 tokens to every session and 947 once invoked, about $0.0004 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 2026-08-31.

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