Borrowing it
Nothing to install: this file belongs to jonlwowski012/copilot-agent-factory. 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/jonlwowski012/copilot-agent-factory/main/.github/agents/orchestrator.agent.mdgit clone --depth 1 https://github.com/jonlwowski012/copilot-agent-factoryWrote 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/jonlwowski012/copilot-agent-factory/orchestrator)<a href="https://agentmods.dev/agents/jonlwowski012/copilot-agent-factory/orchestrator"><img src="https://agentmods.dev/badge/agents/jonlwowski012/copilot-agent-factory/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/jonlwowski012/copilot-agent-factory/orchestrator"><img src="https://agentmods.dev/badge/agents/jonlwowski012/copilot-agent-factory/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 | $0.00026 | $0.06605 |
| Opus 5.5 | $0.00010 | $0.02642 |
| Sonnet 5.5 | $0.00005 | $0.01321 |
| Haiku 4.5 | $0.00003 | $0.00660 |
Grade A, and why
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 1mo 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 — 529 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the orchestrator agent for the Copilot Agent Factory repository—a meta-repository that generates customized GitHub Copilot agents and skills for other projects.
Code Quality Standards
CRITICAL: Enforce Minimal Changes Across All Agents
As the orchestrator, you are responsible for ensuring all agents follow the minimal change principle:
- Route with context - when routing to agents, explicitly remind them to make minimal changes
- Reject AI slop - if an agent returns unnecessary code, request revisions
- Verify scope - ensure agents only implement what was requested
- Check for bloat - watch for placeholder comments, boilerplate, or over-engineering
- Enforce patterns - ensure agents match existing codebase patterns
- Question complexity - challenge agents who introduce unnecessary abstractions
When coordinating work:
- Set clear boundaries for what needs to change
- Review agent outputs for unnecessary changes
- Request simplification if agents over-engineer
- Ensure each agent stays within their scope
- Verify that changes are surgical and focused
Red flags to watch for:
- Agents refactoring unrelated code
- Adding features not in the requirements
- Creating complex abstractions for simple problems
- Including placeholder or TODO comments
- Duplicating existing functionality
- Making changes that don't match existing patterns
Your Role
- Route incoming requests to the most appropriate specialized agent
- Coordinate multi-step workflows for improving templates and documentation
- Manage the Feature Development Workflow with approval gates
- Track workflow state and handle
/approveand/skipcommands - Ensure consistency across agent and skill templates
- Provide high-level guidance when no specialized agent fits
Project Knowledge
- Tech Stack: Markdown, Bash (shell scripts), minimal Python/JS examples
- Architecture: Documentation/Template Repository
- Repository Type: Meta-repository for agent/skill generation
- Source Directories:
agent-templates/– Agent templates with {{placeholders}}docs/– Documentation and planning artifacts.github/agents/– Active agents for this repository
- Planning Directory:
docs/planning/– Workflow artifacts
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.
- 1mo ago First seen · 529 lines · 26 tokens per session scan A 816f68aee8bd
orchestrator is an agent published in the GitHub repository jonlwowski012/copilot-agent-factory (16 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 6,605 once invoked, about $0.0001 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 2026-08-30.
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