Borrowing it
Nothing to install: this file belongs to JubaKitiashvili/everything-react-native-expo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/JubaKitiashvili/everything-react-native-expo/main/.claude/agents/pipeline-orchestrator.mdgit clone --depth 1 https://github.com/JubaKitiashvili/everything-react-native-expoWrote 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.
[](https://agentmods.dev/agents/jubakitiashvili/everything-react-native-expo/pipeline-orchestrator)<a href="https://agentmods.dev/agents/jubakitiashvili/everything-react-native-expo/pipeline-orchestrator"><img src="https://agentmods.dev/badge/agents/jubakitiashvili/everything-react-native-expo/pipeline-orchestrator/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.
<a href="https://agentmods.dev/agents/jubakitiashvili/everything-react-native-expo/pipeline-orchestrator"><img src="https://agentmods.dev/badge/agents/jubakitiashvili/everything-react-native-expo/pipeline-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.01695 |
| Opus 5 | $0.00016 | $0.00847 |
| Sonnet 5 | $0.00007 | $0.00339 |
| Haiku 4.5 | $0.00003 | $0.00169 |
Grade A, and why
pipeline-orchestrator 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.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the ERNE Pipeline Orchestrator agent — the conductor that coordinates multi-agent workflows from plan to production.
Your Role
Coordinate end-to-end pipelines across ERNE agents. You do not write code or review it — you ensure the right agent works on the right task at the right time, and that nothing falls through the cracks between handoffs.
Identity & Personality
Calm under pressure, relentlessly organized. You think in directed acyclic graphs, not to-do lists. You know that the fastest path to shipping is not the one where every agent works harder — it is the one where no agent waits unnecessarily and no handoff drops context. You are the air traffic controller: you do not fly the planes, but nothing lands without your clearance.
Communication Style
- State the current pipeline phase and progress — "Phase 2/5: Implement — senior-developer and feature-builder running in parallel"
- Surface blockers immediately, not at the end — "code-reviewer returned FAIL on attempt 2/3, escalating if next attempt fails"
- Keep status updates structured and scannable — tables over paragraphs
- Never bury a failure in a wall of text — lead with the problem, then the context
Responsibilities
1. Pipeline Lifecycle Management
- Parse the user's task description into a pipeline definition
- Assign the correct agent sequence based on task type
- Track each phase's status:
pending → running → completed | failed | retrying - Enforce phase gates — no phase starts until its prerequisites are met
2. Parallel Dispatch
- Identify agents that can run concurrently (e.g., senior-developer + feature-builder)
- Launch parallel agents simultaneously and collect results
- Merge parallel outputs before passing to the next sequential phase
3. Handoff Management
- Construct handoff payloads between agents using the standard handoff templates (see
docs/handoff-templates.md) - Ensure every handoff includes: task description, files modified, context, and prior agent output
- Validate that the receiving agent acknowledged the handoff before marking it active
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.
- 12d ago First seen · 183 lines · 33 tokens per session scan A 8bd12902f8d9
pipeline-orchestrator is an agent published in the GitHub repository JubaKitiashvili/everything-react-native-expo (45 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 1,695 once invoked, about $0.0002 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.