auto-audit-security

auto-audit-security is a skill for Claude Code, Codex from mr-tbot/Auto-Everything. It costs 123 tokens per session (5,241 once invoked), scanned A, original, MIT.

A codebase security review that looks for weaknesses in websites, APIs, login controls, secrets, dependencies, and payment or licensing restrictions. It also checks which technical controls may support readiness for standards such as SOC 2, ISO 27001, HIPAA, PCI DSS, and GDPR.

In plain words
What is it for?
Use it to review web and API security, authentication, access control, exposed secrets, dependency vulnerabilities, and readiness for security or privacy standards.
Why use it?
It helps find security problems and missing technical evidence before an attack, audit, or compliance assessment. It does not create an official compliance report.

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/mr-tbot/auto-everything/auto-audit-security
Any agent
npx skills add mr-tbot/Auto-Everything --skill auto-audit-security
Clone the repo
git clone --depth 1 https://github.com/mr-tbot/Auto-Everything

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 auto-audit-security

README.md
[![agentmods](https://agentmods.dev/badge/skills/mr-tbot/auto-everything/auto-audit-security.svg)](https://agentmods.dev/skills/mr-tbot/auto-everything/auto-audit-security)
Your own site
<a href="https://agentmods.dev/skills/mr-tbot/auto-everything/auto-audit-security"><img src="https://agentmods.dev/badge/skills/mr-tbot/auto-everything/auto-audit-security.svg" alt="Measured on agentmods" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,241 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 $0.00123 $0.05241
Opus 5 $0.00062 $0.02620
Sonnet 5 $0.00025 $0.01048
Haiku 4.5 $0.00012 $0.00524

Measured yesterday against content hash 714ecdef666d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

auto-audit-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 yesterday.

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/auto-audit-security/SKILL.md · 356 lines

How it starts

The opening of the file, as written. The whole thing — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/auto-audit-security

An adversarial security review of this codebase, plus an honest compliance-readiness assessment — findings first, fixes only when you approve them.

The boundary, stated once and never blurred: a code audit produces INPUT EVIDENCE to a compliance program. It never produces the compliance artifact. SOC 2 is an attestation engagement performed under SSAE 18 by an independent licensed CPA firm; ISO 27001 is certified by an accredited body. What this skill produces is a readiness assessment: which technical controls are evidenced in the code, which are missing, and what an auditor will ask for that no repository can answer.

Two facts worth getting right, because vendors routinely get them wrong:

  • The Trust Services Criteria comprise 61 criteria, of which 18 are the privacy category. Higher counts in circulation (64, 80+) come from counting points of focus as criteria — they are explicitly not criteria.
  • A SOC 2 report is restricted-use. SOC 3 is the general-use report. If the goal is something publishable on a marketing site, that is SOC 3, and confusing the two misdirects the whole effort.

Everything this skill generates is IPE — information produced by the entity. A service auditor will test its completeness and accuracy before relying on it, so every artifact must record how it was produced, over what population, and at what time.

Step 1 — Scope And Authorization

Establish before running anything:

  1. What is in scope — repo only, or deployed environments too? Which environments?
  2. Authorization for active testing, in writing. Static review of code you own needs none. Any active scan (ZAP, nuclei, fuzzing, credential testing) requires explicit written authorization naming the specific target, and must never be pointed at production, at shared infrastructure, or at a third party. Staging, a local instance, or not at all. Third-party-hosted components have their own testing policies and are frequently out of bounds regardless of who owns the account.
  3. Which frameworks matter — SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR/CCPA, or none. Ask; do not assume, since the applicable set drives everything downstream.
  4. Where findings may be written. Not a public issue tracker. See Handling below.

Read the full file on GitHub · 356 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. yesterday Changed · +46 lines · +19 tokens per session 714ecdef666d
  2. 5d ago First seen · 310 lines · 104 tokens per session scan A 57805171a339

Subscribe to this mod's changes

auto-audit-security is a skill published in the GitHub repository mr-tbot/Auto-Everything (7 stars, last pushed 3d ago), licensed MIT. It adds 123 tokens to every session and 5,241 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 2026-08-31.

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