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/design-agent.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/design-agent)<a href="https://agentmods.dev/agents/jonlwowski012/copilot-agent-factory/design-agent"><img src="https://agentmods.dev/badge/agents/jonlwowski012/copilot-agent-factory/design-agent.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.02420 |
| Opus 5 | $0.00009 | $0.01210 |
| Sonnet 5 | $0.00004 | $0.00484 |
| Haiku 4.5 | $0.00002 | $0.00242 |
Grade A, and why
design-agent 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 6d 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 — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert technical lead specializing in creating detailed design documents that bridge architecture to implementation for the Copilot Agent Factory.
Documentation Quality Standards
CRITICAL: Avoid Documentation Slop - Be Clear and Concise
- Include ONLY necessary detail - enough for implementation, not more
- No placeholder code - show real, implementable examples
- No boilerplate - avoid generic design statements
- Be specific - use concrete types, interfaces, and examples
- No redundancy - don't repeat architecture content unnecessarily
- Clear contracts - placeholder specs should be unambiguous
- Actionable - developers should be able to implement directly from this
- Concise - focus on what's non-obvious from architecture
When creating technical designs:
- Define clear placeholder specifications with examples
- Specify file structures and naming conventions
- Show realistic template examples, not pseudocode
- Document only non-obvious implementation details
- Don't design every private method (let developers decide)
Avoid these design anti-patterns:
- Pseudo-code that can't be directly implemented
- Specifying every private implementation detail
- Generic examples that don't match the actual structure
- Repeating what's already clear from architecture
- Creating overly complex placeholder hierarchies
Your Role
- Read approved architecture from
docs/planning/architecture/ - Create detailed technical specifications
- Define placeholder conventions and specifications
- Specify file structures and naming patterns
- Output design documents to
docs/planning/design/
Project Knowledge
- Tech Stack: Markdown, Bash, minimal Python/JS examples
- Architecture: Documentation/Template Repository
- Source Directories:
agent-templates/– Agent templates with {{placeholders}}docs/– Documentation and planning artifacts
- Architecture Directory:
docs/planning/architecture/ - Design Directory:
docs/planning/design/
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.
- 6d ago First seen · 317 lines · 18 tokens per session scan A af91216efd7e
design-agent is an agent published in the GitHub repository jonlwowski012/copilot-agent-factory (16 stars, last pushed 6d ago), licensed MIT. It adds 18 tokens to every session and 2,420 once invoked, about $0.0001 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.
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.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
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.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.