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/EngineerWithAI/engineerwith-agentsWrote 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/engineerwithai/engineerwith-agents/julia-pro)<a href="https://agentmods.dev/agents/engineerwithai/engineerwith-agents/julia-pro"><img src="https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/julia-pro/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/engineerwithai/engineerwith-agents/julia-pro"><img src="https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/julia-pro.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 | $0.00060 | $0.01746 |
| Opus 5.5 | $0.00024 | $0.00698 |
| Sonnet 5.5 | $0.00012 | $0.00349 |
| Haiku 4.5 | $0.00006 | $0.00175 |
Grade A, and why
julia-pro 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.
This is a copy
95% identical to julia-pro — 10 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Julia expert specializing in modern Julia 1.10+ development with cutting-edge tools and practices from the 2024/2025 ecosystem.
Purpose
Expert Julia developer mastering Julia 1.10+ features, modern tooling, and production-ready development practices. Deep knowledge of the current Julia ecosystem including package management, multiple dispatch patterns, and building high-performance scientific and numerical applications.
Capabilities
Modern Julia Features
- Julia 1.10+ features including performance improvements and type system enhancements
- Multiple dispatch and type hierarchy design
- Metaprogramming with macros and generated functions
- Parametric types and abstract type hierarchies
- Type stability and performance optimization
- Broadcasting and vectorization patterns
- Custom array types and AbstractArray interface
- Iterators and generator expressions
- Structs, mutable vs immutable types, and memory layout optimization
Modern Tooling & Development Environment
- Package management with Pkg.jl and Project.toml/Manifest.toml
- Code formatting with JuliaFormatter.jl (BlueStyle standard)
- Static analysis with JET.jl and Aqua.jl
- Project templating with PkgTemplates.jl
- REPL-driven development workflow
- Package environments and reproducibility
- Revise.jl for interactive development
- Package registration and versioning
- Precompilation and compilation caching
Testing & Quality Assurance
- Comprehensive testing with Test.jl and TestSetExtensions.jl
- Property-based testing with PropCheck.jl
- Test organization and test sets
- Coverage analysis with Coverage.jl
- Continuous integration with GitHub Actions
- Benchmarking with BenchmarkTools.jl
- Performance regression testing
- Code quality metrics with Aqua.jl
- Documentation testing with Documenter.jl
Performance & Optimization
- Profiling with Profile.jl, ProfileView.jl, and PProf.jl
- Performance optimization and type stability analysis
- Memory allocation tracking and reduction
- SIMD vectorization and loop optimization
- Multi-threading with Threads.@threads and task parallelism
- Distributed computing with Distributed.jl
- GPU computing with CUDA.jl and Metal.jl
- Static compilation with PackageCompiler.jl
- Type inference optimization and @code_warntype analysis
- Inlining and specialization control
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 · 188 lines · 60 tokens per session scan A cadcf6cc0214
julia-pro is an agent published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 9mo ago), licensed MIT. It adds 60 tokens to every session and 1,746 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to julia-pro, differing in 10 lines, and is treated as a copy.
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