security

security is a skill for Claude Code 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 Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool.

Good fit 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.

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

Made for: Claude Code.

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/github.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/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 security

Your own site · 80×15
<a href="https://agentmods.dev/skills/0xrafasec/ai-workflow/security"><img src="https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/security.svg" alt="Reviewed on agentmods" width="80" 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. 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 $0.00077 $0.00947
Opus 5.5 $0.00031 $0.00379
Sonnet 5.5 $0.00015 $0.00189
Haiku 4.5 $0.00008 $0.00095

Measured 1mo ago against content hash b295c1bca9f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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. 1mo 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 1mo ago), licensed MIT. It adds 77 tokens to every session and 947 once invoked, about $0.0003 per session on Opus 5.5. 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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