merge-duplicate-pipelines

merge-duplicate-pipelines is a skill for Claude Code from orchestra-hq/orchestra-skills. It costs 223 tokens per session (2,434 once invoked), scanned A, original, MIT.

A workflow for finding duplicate Orchestra pipelines and drafting a single parameterised replacement. Parameterisation means using inputs or environment values so one pipeline can handle cases that would otherwise need copied versions.

In plain words
What is it for?
Use it to compare pipeline structures, identify duplicate sets, and prepare a consolidated design with environment or input-based differences.
Why use it?
It helps reduce repeated pipeline definitions across production, staging, customers, regions, or business units. It detects possible duplicates without changing them until the user approves each consolidation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the orchestra plugin — 19 skills, 1 hook shipped together

Good fit Use it to compare pipeline structures, identify duplicate sets, and prepare a consolidated design with environment or input-based differences.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orchestra-hq/orchestra-skills/merge-duplicate-pipelines
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 orchestra-hq/orchestra-skills --skill merge-duplicate-pipelines
Clone the repo
git clone --depth 1 https://github.com/orchestra-hq/orchestra-skills

Made for: Claude Code.

Or install orchestra, the plugin that ships this one along with the rest of its 19 skills, 1 hook.

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 merge-duplicate-pipelines

README.md
[![agentmods](https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/merge-duplicate-pipelines/github.svg)](https://agentmods.dev/skills/orchestra-hq/orchestra-skills/merge-duplicate-pipelines)
Your own site
<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/merge-duplicate-pipelines"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/merge-duplicate-pipelines/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 merge-duplicate-pipelines

Your own site · 80×15
<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/merge-duplicate-pipelines"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/merge-duplicate-pipelines.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 223 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,434 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 $0.00223 $0.02434
Opus 5.5 $0.00089 $0.00974
Sonnet 5.5 $0.00045 $0.00487
Haiku 4.5 $0.00022 $0.00243

Measured 12d ago against content hash 7bbe0a53c049, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

merge-duplicate-pipelines 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/orchestra/skills/merge-duplicate-pipelines/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Merge Duplicate Pipelines

Find pipelines in an Orchestra workspace that are the same process duplicated — across environments or conceptually — and consolidate each duplicate set into one pipeline with the right parameterisation in place of the copy-paste. Detection is read-only; anything that changes a pipeline requires an explicit choice from the user for that specific set.

References

  • ../../references/orchestra/mcp/tools-quick-ref.md — MCP tool names and arguments.
  • ../../references/orchestra/pipeline/yaml-authoring.md — schema and variable syntax (${{ ENV.* }}, ${{ inputs.* }}, ${{ MATRIX.* }}, conditions).
  • references/detection-and-patterns.md — read this before drafting anything. The similarity heuristic in full, the ENV-LABELED vs CONCEPTUAL classification, and before/after YAML for each consolidation pattern.
  • ../account-health-check/references/best-practices-checklist.md checks 1.1 (one pipeline per process, not per environment), 1.3 (MetaEngine instead of duplicated tasks/pipelines), 1.9 (inputs/env vars/conditionals over duplication), and 2.1 (don't run one pipeline per environment) — this skill is the fix for those findings.

Workflow

Step 0 — Fresh detection, or acting on an existing report?

If the user hands you an existing account-review report, or pastes findings that name checks 1.1/1.3/1.9/2.1, read it for the pipelines it already flagged and skip straight to Step 3 with those as your starting candidate set — no need to re-scan the account. Otherwise start at Step 1.

Step 1 — Access and scope

Same access pattern as account-health-check: use the Orchestra MCP if connected (list_pipelines, get_pipeline); otherwise fall back to the REST API with $ORCHESTRA_API_KEY (https://app.getorchestra.io/api/engine/public). If neither is available, point the user at the MCP setup docs and stop.

Tell the user which workspace you're scanning and confirm scope: full account, or a named subset. For large workspaces, default to the live + Git-backed set (every unpaused, recently-run pipeline plus every Git-backed one) for the same reason account-health-check does — reading every definition has a real cost — and say what you skipped.

Read the full file on GitHub · 177 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 Changed 7bbe0a53c049
  2. 1mo ago First seen · 177 lines · 223 tokens per session scan A 6416f1719081

Subscribe to this mod's changes

merge-duplicate-pipelines is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 223 tokens to every session and 2,434 once invoked, about $0.0009 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 2026-09-09.

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