harness-pipeline-design

harness-pipeline-design is a skill for Claude Code from dungnotnull/hybrid-harness-chaos-process-prm. It costs 112 tokens per session (2,931 once invoked), scanned A, original, MIT.

A guide for creating and reviewing Harness pipeline files in YAML. Harness is a platform for automating software builds, tests, approvals, and deployments across environments such as development, staging, and production.

In plain words
What is it for?
Use it to create or modify Harness CI/CD pipelines, including build stages, deployment stages, approval gates, triggers, variables, input sets, and rollback plans.
Why use it?
It removes the need to design pipeline structure from scratch and helps keep deployment steps, approvals, triggers, and rollback planning consistent.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md.

Part of the hybrid-harness-chaos-process plugin — 37 skills, 4 commands shipped together

Good fit Use it to create or modify Harness CI/CD pipelines, including build stages, deployment stages, approval gates, triggers, variables, input sets, and rollback plans.

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Install with agentmods
npx agentmods add skills/dungnotnull/hybrid-harness-chaos-process-prm/s04-pipeline-design
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 dungnotnull/hybrid-harness-chaos-process-prm --skill s04-pipeline-design
Clone the repo
git clone --depth 1 https://github.com/dungnotnull/hybrid-harness-chaos-process-prm

Made for: Claude Code.

Or install hybrid-harness-chaos-process, the plugin that ships this one along with the rest of its 37 skills, 4 commands.

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 harness-pipeline-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/dungnotnull/hybrid-harness-chaos-process-prm/s04-pipeline-design/github.svg)](https://agentmods.dev/skills/dungnotnull/hybrid-harness-chaos-process-prm/s04-pipeline-design)
Your own site
<a href="https://agentmods.dev/skills/dungnotnull/hybrid-harness-chaos-process-prm/s04-pipeline-design"><img src="https://agentmods.dev/badge/skills/dungnotnull/hybrid-harness-chaos-process-prm/s04-pipeline-design/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 harness-pipeline-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/dungnotnull/hybrid-harness-chaos-process-prm/s04-pipeline-design"><img src="https://agentmods.dev/badge/skills/dungnotnull/hybrid-harness-chaos-process-prm/s04-pipeline-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,931 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 $0.00112 $0.02931
Opus 5 $0.00056 $0.01465
Sonnet 5 $0.00022 $0.00586
Haiku 4.5 $0.00011 $0.00293

Measured 12d ago against content hash e1548a2d4743, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

harness-pipeline-design 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/s04-pipeline-design/SKILL.md · 405 lines

How it starts

The opening of the file, as written. The whole thing — 405 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Harness Pipeline Design

Purpose

Produce complete, schema-valid Harness pipeline YAML that follows enterprise engineering standards: parameterized inputs, environment promotion, integrated verification, and chaos-ready stage structure.


Input Contract

Input Source Required
PRD / BA analysis output s01 (workflow_context.prd) Yes
Service name, artifact source, stack info s01 context Yes
Environment tier list (dev/staging/prod) s01 context or user Yes
Deploy strategy preference s02 taste (deployment category) No (defaults to Rolling)
Approval mechanism preference s02 taste (risk_tolerance) No
Observability tool preference s02 taste (observability) No
Harness account/project identifiers User or CLAUDE.md Yes

Output Contract

Output Destination Format
Pipeline YAML .commandcode/artifacts/pipeline-<service>.yaml YAML
Trigger config YAML .commandcode/artifacts/trigger-<service>.yaml YAML
Pipeline context (for s05, s12, s19) workflow_context.artifacts YAML object
Input set templates per env .commandcode/artifacts/inputset-<env>.yaml YAML

Prerequisites

Before generating any pipeline, confirm:

  • Harness Account ID and Organization / Project identifiers known
  • Target deployment type: Kubernetes / ECS / Lambda / VM / Custom
  • Artifact source: Docker registry / ECR / GCR / Nexus / Artifactory
  • Environment tiers required: dev → staging → preprod → prod
  • Approval mechanism: automatic / manual / JIRA / ServiceNow
  • Observability stack: Prometheus / Datadog / New Relic / AppDynamics

If any item is unknown, surface a question to the user before generating YAML.


Pipeline Anatomy

Pipeline
├── Variables (runtime inputs, expressions)
├── Stages
│   ├── CI Stage (Build + Test + Push)
│   │   ├── Steps: Clone → Build → Unit Test → SAST → Push
│   │   └── Caching: Intelligence cache / S3 cache
│   ├── CD Stage (Deploy)
│   │   ├── Service (artifact + manifests)
│   │   ├── Environment (infrastructure definition)
│   │   ├── Execution
│   │   │   ├── Pre-deployment: secrets sync, DB migration
│   │   │   ├── Deploy step: Rolling / Canary / Blue-Green
│   │   │   ├── Chaos step (optional, see chaos/01-experiment-design)
│   │   │   └── Verify step (CV — see harness/06-cv-verification)
│   │   └── Rollback (auto on failure)
│   └── Approval Stage (between envs)
└── Notification Rules (Slack / email / PagerDuty)

Read the full file on GitHub · 405 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 · 405 lines · 112 tokens per session scan A e1548a2d4743

Subscribe to this mod's changes

harness-pipeline-design is a skill published in the GitHub repository dungnotnull/hybrid-harness-chaos-process-prm (19 stars, last pushed 3mo ago), licensed MIT. It adds 112 tokens to every session and 2,931 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 2026-08-30.

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