oh-my-codex: Skill for Codex

.codex/skills/pipeline/SKILL.md

pipeline is a skill for Codex from junghwaYang/oh-my-codex. It costs 0 tokens per session (648 once invoked), scanned A, original, MIT.

A staged workflow for processing a task through several ordered steps, where each step uses the previous step's output.

In plain words
What is it for?
Use it for multi-step data transformations, build or deployment workflows, and tasks split between planning, coding, testing, reviewing, and documentation.
Why use it?
It keeps dependent work in the right order and makes the handoff between stages explicit.

Skill for Codex

Written for Codex: installed under .codex/.

This is junghwaYang/oh-my-codex's own configuration. It tells Codex how to work on oh-my-codex itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything oh-my-codex configures →

Reuse

Borrowing it

Nothing to install: this file belongs to junghwaYang/oh-my-codex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/junghwaYang/oh-my-codex/main/.codex/skills/pipeline/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/junghwaYang/oh-my-codex

Made for: 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 pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/junghwayang/oh-my-codex/pipeline.svg)](https://agentmods.dev/skills/junghwayang/oh-my-codex/pipeline)
Your own site
<a href="https://agentmods.dev/skills/junghwayang/oh-my-codex/pipeline"><img src="https://agentmods.dev/badge/skills/junghwayang/oh-my-codex/pipeline.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 648 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 5.1 $0.00000 $0.00648
Opus 5 $0.00000 $0.00324
Sonnet 5 $0.00000 $0.00130
Haiku 4.5 $0.00000 $0.00065

Measured 6d ago against content hash 51a6e25bf9f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

pipeline 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 6d 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.

.codex/skills/pipeline/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pipeline Skill

Sequential, staged processing for multi-step transformations.

When to Use

  • Multi-step data transformations
  • Sequential processing with dependencies
  • Workflows with strict ordering
  • Build/deploy pipelines

When NOT to Use

  • Independent parallel tasks (use ultrawork)
  • Simple single-step operations
  • Tasks without dependencies

Pipeline Concept

Stage 1 → Stage 2 → Stage 3 → Stage 4 → Output
   │         │         │         │
   └─────────┴─────────┴─────────┘
         Each stage depends on previous

Pipeline Definition

pipeline:
  name: "Feature Implementation"
  stages:
    - name: plan
      agent: planner
      input: user_request
      output: plan_document
      
    - name: implement
      agent: executor
      input: plan_document
      output: code_changes
      
    - name: test
      agent: tester
      input: code_changes
      output: test_results
      
    - name: review
      agent: reviewer
      input: code_changes
      output: review_feedback
      
    - name: document
      agent: writer
      input: code_changes
      output: documentation

Stage Types

Transform

Input → Processing → Output

Validate

Input → Check → Pass/Fail

Branch

Input → Condition → Path A or Path B

Aggregate

Multiple Inputs → Combine → Single Output

Built-in Pipelines

Feature Pipeline

plan → implement → test → review → document → deploy

Bug Fix Pipeline

reproduce → diagnose → fix → test → review

Refactor Pipeline

analyze → plan → refactor → test → review

Migration Pipeline

assess → plan → migrate → verify → cleanup

Usage

pipeline: implement user authentication
  - plan the feature
  - implement backend
  - implement frontend
  - write tests
  - document API

pipeline: migrate from REST to GraphQL

Error Handling

On stage failure:
1. Log error context
2. Attempt retry (configurable)
3. If still failing:
   - Option A: Stop pipeline
   - Option B: Skip to next stage
   - Option C: Rollback previous stages

Read the full file on GitHub · 135 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. 6d ago First seen · 135 lines · 0 tokens per session scan A 51a6e25bf9f9

Subscribe to this mod's changes

pipeline is a skill published in the GitHub repository junghwaYang/oh-my-codex (5 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 648 tokens. 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens