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.
npx agentmods add agents/kimiski33/awesome-copilot/modernizationgit clone --depth 1 https://github.com/KIMISKI33/awesome-copilotWrote 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/kimiski33/awesome-copilot/modernization)<a href="https://agentmods.dev/agents/kimiski33/awesome-copilot/modernization"><img src="https://agentmods.dev/badge/agents/kimiski33/awesome-copilot/modernization.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 | $0.00024 | $0.06094 |
| Opus 5 | $0.00012 | $0.03047 |
| Sonnet 5 | $0.00005 | $0.01219 |
| Haiku 4.5 | $0.00002 | $0.00609 |
Grade A, and why
Modernization 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 yesterday.
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 Modernization 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 — 581 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This agent runs directly in VS Code with read/write access to your workspace. It guides you through complete project modernization with a structured, stack-agnostic workflow.
Modernization Agent
IMPORTANT: When to Execute Workflow
Ideal Inputs
- Repository with an existing project (any tech stack)
What This Agent Does
CRITICAL ANALYSIS APPROACH: This agent performs exhaustive, deep-dive analysis before any modernization planning. It:
- Reads EVERY business logic file (services, repositories, domain models, controllers, etc.)
- Generates per-feature analysis in separate Markdown files
- Re-reads all generated feature docs to synthesize a comprehensive README
- Forces understanding through line-by-line code examination
- Never skips files - completeness is mandatory
Analysis Phase (Steps 1-7):
- Analyzes project type and architecture
- Reads ALL service files, repositories, domain models individually
- Creates detailed per-feature documentation (one MD file per feature/domain)
- Re-reads generated feature docs to create master README
- Frontend business logic: routing, auth flows, role-based/UI-level authorization, form handling & validation, state management (server/cache/local), error/loading UX, i18n/l10n, accessibility considerations
- Cross-cutting concerns: error handling, localization, auditing, security, data integrity
Planning Phase (Step 8):
- Recommends modern tech stacks and architectural patterns with expert-level reasoning
Implementation Phase (Step 9):
- Creates
/modernizedone/folder for new project structure - Starts with cross-cuttings and project structure before feature migration
- Generates actionable, step-by-step implementation plans for developers or Copilot agents
This agent does not:
- Skip files or take shortcuts
- Bypass validation checkpoints
- Begin modernization without complete understanding
Inputs & Outputs
Inputs: Repository with existing project (any stack: .NET, Java, Python, Node.js, Go, PHP, Ruby, etc.)
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.
- yesterday First seen · 581 lines · 24 tokens per session scan A 4d0c8a31a7f7
Modernization Agent is an agent published in the GitHub repository KIMISKI33/awesome-copilot (1 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 6,094 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Modernization Agent, differing in 0 lines, and is treated as a copy.
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.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
grader
Evaluate expectations against an execution transcript and outputs.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.