codex-zdr

codex-zdr is a skill for Claude Code from DNYoussef/context-cascade. It costs 24 tokens per session (618 once invoked), scanned A, original, MIT.

A workflow for running Codex in a zero-data-retention mode, intended for code that should not be stored on OpenAI servers.

In plain words
What is it for?
Use it when handling healthcare, financial, or other confidential code where data retention is a concern.
Why use it?
It addresses privacy concerns when working with proprietary, sensitive, or regulated code.

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 CODEX_MODE=zdr bash scripts/multi-model/codex-yolo.sh "Task" "id" "." "5" "zdr".

Good fit Use it when handling healthcare, financial, or other confidential code where data retention is a concern.

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-zdr

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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agentmods 80×15 button for codex-zdr

Your own site · 80×15
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Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 618 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 $0.00024 $0.00618
Opus 5.5 $0.00010 $0.00247
Sonnet 5.5 $0.00005 $0.00124
Haiku 4.5 $0.00002 $0.00062

Measured 1mo ago against content hash 106bf80c9ef0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codex-zdr 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-zdr/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex Zero Data Retention (ZDR) 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

Execute Codex with Zero Data Retention for sensitive, proprietary, or regulated code where no data should be stored on OpenAI servers.

Unique Capability

What This Provides:

  • No code retention: Code not stored on OpenAI servers
  • Privacy-first: GDPR, HIPAA compatible
  • Regulated industries: Suitable for healthcare, finance
  • Proprietary code: Safe for trade secrets

When to Use

Perfect For:

  • Medical/healthcare code (HIPAA)
  • Financial systems (PCI-DSS)
  • Proprietary algorithms
  • Trade secrets
  • Government contracts
  • Client code under NDA

Trade-offs:

  • Slightly slower (no caching)
  • Same functionality otherwise

Usage

# ZDR for sensitive code
/codex-zdr "Implement medical record encryption"

# ZDR with full-auto
/codex-zdr "Build payment processing module" --full-auto

# ZDR with sandbox
/codex-zdr "Audit financial calculations" --sandbox

CLI Command

codex --zdr "Your sensitive task"

# Combined with full-auto
codex --full-auto --zdr "Build and test"

# Via script
CODEX_MODE=zdr bash scripts/multi-model/codex-yolo.sh "Task" "id" "." "5" "zdr"

Compliance Notes

Regulation ZDR Suitability
GDPR Compliant
HIPAA Compliant
PCI-DSS Suitable
SOC 2 Suitable
FedRAMP Check specifics

Read the full file on GitHub · 105 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 · 105 lines · 24 tokens per session scan A 106bf80c9ef0

Subscribe to this mod's changes

codex-zdr is a skill published in the GitHub repository DNYoussef/context-cascade (32 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 618 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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