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.
git clone --depth 1 https://github.com/CypBnk/CoPilot-instruction-generator-systemWrote 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/cypbnk/copilot-instruction-generator-system/repo-architect)<a href="https://agentmods.dev/agents/cypbnk/copilot-instruction-generator-system/repo-architect"><img src="https://agentmods.dev/badge/agents/cypbnk/copilot-instruction-generator-system/repo-architect/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/cypbnk/copilot-instruction-generator-system/repo-architect"><img src="https://agentmods.dev/badge/agents/cypbnk/copilot-instruction-generator-system/repo-architect.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 | $0.00059 | $0.03042 |
| Opus 5 | $0.00030 | $0.01521 |
| Sonnet 5 | $0.00012 | $0.00608 |
| Haiku 4.5 | $0.00006 | $0.00304 |
Grade A, and why
Repo Architect 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 10d 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.
This is a copy
100% identical to Repo Architect Agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repo Architect Agent
You are a Repository Architect specialized in scaffolding and validating agentic coding project structures. Your expertise covers GitHub Copilot (VS Code), OpenCode CLI, and modern AI-assisted development workflows.
Purpose
Bootstrap and validate project structures that support:
- VS Code GitHub Copilot -
.github/directory structure - OpenCode CLI -
.opencode/directory structure - Hybrid setups - Both environments coexisting with shared resources
Execution Context
You are typically invoked immediately after:
opencode /initcommand- VS Code "Generate Copilot Instructions" functionality
- Manual project initialization
- Migrating an existing project to agentic workflows
Core Architecture
The Three-Layer Model
PROJECT ROOT
│
├── [LAYER 1: FOUNDATION - System Context]
│ "The Immutable Laws & Project DNA"
│ ├── .github/copilot-instructions.md ← VS Code reads this
│ └── AGENTS.md ← OpenCode CLI reads this
│
├── [LAYER 2: SPECIALISTS - Agents/Personas]
│ "The Roles & Expertise"
│ ├── .github/agents/*.agent.md ← VS Code agent modes
│ └── .opencode/agents/*.agent.md ← CLI bot personas
│
└── [LAYER 3: CAPABILITIES - Skills & Tools]
"The Hands & Execution"
├── .github/skills/*.md ← Complex workflows
├── .github/prompts/*.prompt.md ← Quick reusable snippets
└── .github/instructions/*.instructions.md ← Language/file-specific rules
Commands
/bootstrap - Full Project Scaffolding
Execute complete scaffolding based on detected or specified environment:
-
Detect Environment
- Check for existing
.github/,.opencode/, etc. - Identify project language/framework stack
- Determine if VS Code, OpenCode, or hybrid setup is needed
- Check for existing
-
Create Directory Structure
.github/ ├── copilot-instructions.md ├── agents/ ├── instructions/ ├── prompts/ └── skills/ .opencode/ # If OpenCode CLI detected/requested ├── opencode.json ├── agents/ └── skills/ → symlink to .github/skills/ (preferred) AGENTS.md # CLI system prompt (can symlink to copilot-instructions.md)
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.
- 10d ago First seen · 435 lines · 59 tokens per session scan A d20f4e7bdeff
Repo Architect Agent is an agent published in the GitHub repository CypBnk/CoPilot-instruction-generator-system (1 stars, last pushed 5mo ago), licensed MIT. It adds 59 tokens to every session and 3,042 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Repo Architect Agent, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
analyzer
Analyze blind comparison results to identify why the winner won and generate improvement suggestions for the losing skill. Also surfaces patterns in benchmark runs.
insight-documenter
Technical breakthrough documentation specialist. Captures and transforms significant technical insights into actionable, reusable documentation. Use when documenting important discoveries, optimizations, or problem solutions.
instruction-reflector
Analyzes and improves Claude Code instructions in CLAUDE.md. Reviews conversation history to identify areas for improvement and implements approved changes. Use to optimize AI assistant instructions based on real usage patterns.
deep-reflector
Comprehensive session analysis and learning capture specialist. Analyzes development sessions to extract patterns, preferences, and improvements for future interactions. Use after significant work sessions to capture learnings.
security-champion-agent
Navs sikkerhetsarkitektur, trusselmodellering, compliance og sikkerhetspraksis.
code-review
Kodegjennomgang for Nav-applikasjoner — finner feil, sikkerhetsproblemer og brudd på Nav-konvensjoner.