pipeline

pipeline is a skill for Claude Code, Codex from mrzhangguoguo/oh-my-workbuddy. It costs 74 tokens per session (997 once invoked), scanned A, original, MIT.

A configurable workflow runner that moves a coding task through ordered stages such as interview, planning, implementation, review, and quality checks.

In plain words
What is it for?
Running a repeatable multi-stage coding process with tracked tasks, saved work, reviews, and optional parallel workers.
Why use it?
It removes the need to manually coordinate repeated development steps and preserves progress so a run can resume.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Running a repeatable multi-stage coding process with tracked tasks, saved work, reviews, and optional parallel workers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mrzhangguoguo/oh-my-workbuddy/pipeline
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 mrzhangguoguo/oh-my-workbuddy --skill pipeline
Clone the repo
git clone --depth 1 https://github.com/mrzhangguoguo/oh-my-workbuddy

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 pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/pipeline/github.svg)](https://agentmods.dev/skills/mrzhangguoguo/oh-my-workbuddy/pipeline)
Your own site
<a href="https://agentmods.dev/skills/mrzhangguoguo/oh-my-workbuddy/pipeline"><img src="https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/pipeline/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 pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/mrzhangguoguo/oh-my-workbuddy/pipeline"><img src="https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 997 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 $0.00074 $0.00997
Opus 5 $0.00037 $0.00498
Sonnet 5 $0.00015 $0.00199
Haiku 4.5 $0.00007 $0.00100

Measured 12d ago against content hash 644eca6bd5e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 12d 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/pipeline/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ported from oh-my-codex pipeline. OMX runtime conventions ($macro invocation, omx CLI, .omx/ state directory) are replaced with WorkBuddy idioms (Skill tool, Agent tool, task list, .workbuddy/memory).

Pipeline Skill

pipeline sequences stages through a uniform flow: each stage is an ordered skill invocation (or Agent delegation), with progress tracked in the task list and durable artifacts in .omw/.

Default Autopilot Pipeline

The default Autopilot pipeline sequences:

deep-interview -> plan (consensus) -> ultragoal (+ team if needed) -> code-review -> ultraqa

team is conditional: invoke it only inside an active Ultragoal story when independent lanes or broad verification justify parallel execution. Explicit legacy Ralph pipelines remain available as custom stages, but Ralph is not the advertised default loop.

Configuration

Pipeline parameters are configurable per run:

Parameter Default Description
maxRalphIterations 10 Quality-gate retry ceiling; legacy option name retained for compatibility
workerCount 2 Number of parallel Agent workers for a team stage
agentType executor Role framing for team workers (expressed as the Agent prompt role)

Stage Interface

Every stage implements the same shape:

  • name: stage identifier.
  • run(ctx): perform the stage, accumulating artifacts from prior stages.
  • canSkip?(ctx): return true only when its required durable artifacts already exist and are approved in order.

Stages receive a StageContext (accumulated artifacts from prior stages) and return a StageResult (status, artifacts, duration).

Built-in Stages

  • deep-interview: Requirements clarification and ambiguity gate. Invoke the deep-interview skill.
  • plan (consensus): Consensus planning (Planner + Architect + Critic). Invoke the plan skill with consensus. Skips only when both prd-*.md and test-spec-*.md planning artifacts already exist and durable consensus evidence records Architect approval followed by Critic approval. Plan/test-spec files alone are not consensus evidence. If either review is missing, blocked, out of order, or non-approving, stay in plan and fail with an explicit blocker/max-iteration outcome rather than progressing to execution. Carry any deep-interview-*.md spec paths forward for traceability.
  • ultragoal: Durable goal-mode execution; record ledgers under .omw/ultragoal/. Launch team only from inside an Ultragoal story when parallel lanes are warranted.
  • code-review: Merge-readiness review gate. Invoke the code-review skill.
  • ultraqa: Adversarial QA gate after a clean review; docs-only/trivially non-runtime changes may record an explicit skip reason.
  • team-exec and ralph-verify: Legacy/custom pipeline adapters retained for explicit non-default pipelines.

Read the full file on GitHub · 71 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. 12d ago First seen · 71 lines · 74 tokens per session scan A 644eca6bd5e7

Subscribe to this mod's changes

pipeline is a skill published in the GitHub repository mrzhangguoguo/oh-my-workbuddy (2 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 997 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

claude-md-improver

Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…

anthropics/claude-plugins-official · 82 tokens

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

gke-reliability

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).

google/skills · 73 tokens

gke-workload-security

Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…

google/skills · 181 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…

google/skills · 138 tokens