codex-audit

codex-audit is a skill for Claude Code from DNYoussef/context-cascade. It costs 20 tokens per session (859 once invoked), scanned A, original, MIT.

A workflow for using Codex to audit code, debug problems, and build prototypes with sandboxed execution and repeated test-fix cycles.

In plain words
What is it for?
Use it for automated test fixing, isolated code audits, rapid prototypes, and debugging tasks that require several attempts.
Why use it?
It brings auditing, debugging, and experimentation into a controlled process when autonomous iteration or isolation is needed.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the TodoWrite tool; mentions Codex.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash scripts/multi-model/codex-audit.sh "<task>" "<context>" "<task_id>" "<max_iterations>".

Good fit Use it for automated test fixing, isolated code audits, rapid prototypes, and debugging tasks that require several attempts.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/DNYoussef/context-cascade
agentmods
npx agentmods add skills/dnyoussef/context-cascade/codex-audit

Made for: Claude Code.

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README.md
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Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 859 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 $0.00020 $0.00859
Opus 5.5 $0.00008 $0.00344
Sonnet 5.5 $0.00004 $0.00172
Haiku 4.5 $0.00002 $0.00086

Measured 1mo ago against content hash b1933baca32b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codex-audit 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/platforms/codex-audit/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex Audit Skill


LIBRARY-FIRST PROTOCOL (MANDATORY)

Before writing ANY code, you MUST check:

Step 1: Library Catalog

  • Location: .claude/library/catalog.json
  • If match >70%: REUSE or ADAPT

Step 2: Patterns Guide

  • Location: .claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.md
  • If pattern exists: FOLLOW documented approach

Step 3: Existing Projects

  • Location: D:\Projects\*
  • If found: EXTRACT and adapt

Decision Matrix

Match Action
Library >90% REUSE directly
Library 70-90% ADAPT minimally
Pattern exists FOLLOW pattern
In project EXTRACT
No match BUILD (add to library after)

Purpose

Route auditing and debugging tasks to Codex CLI when:

  • Autonomous iteration is needed (test-fix-retest loops)
  • Sandboxed execution required for safety
  • Rapid prototyping without approval overhead

Unique Capability

What Codex Does Better:

  • Fully autonomous execution (no approval needed mid-task)
  • Sandboxed isolation (no network, CWD only)
  • Iterative debugging loops
  • GPT-5-Codex optimized for agentic coding

When to Use

Perfect For:

  • Automated test fixing
  • Code auditing in isolation
  • Rapid prototyping of features
  • Refactoring with test verification
  • Build failure recovery
  • Security scanning in sandbox

Don't Use When:

  • Need network access (sandbox disables it)
  • Need to access files outside CWD
  • Production debugging (use Claude with oversight)
  • Complex multi-file coordination

Usage

Basic Audit

/codex-audit "Find and fix all type errors" --context src/

Test Fixing

/codex-audit "Fix failing tests" --context tests/ --max-iterations 10

Prototyping

/codex-audit "Build REST API with CRUD endpoints" --context .

Command Pattern

bash scripts/multi-model/codex-audit.sh "<task>" "<context>" "<task_id>" "<max_iterations>"

Safety Constraints

Constraint Value
Network DISABLED
File Access CWD only
Isolation macOS Seatbelt / Docker
Max Iterations 5 (configurable)

Read the full file on GitHub · 151 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 · 151 lines · 20 tokens per session scan A b1933baca32b

Subscribe to this mod's changes

codex-audit is a skill published in the GitHub repository DNYoussef/context-cascade (32 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 859 once invoked, about $0.0001 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 2026-09-03.

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