julia-develop

A setup and development workflow for Julia projects, including Revise.jl, a Julia package that reloads changed code without restarting the session.

In plain words
What is it for?
Use it to activate a Julia project, install dependencies, load its package, check or add Revise.jl, and repeat edits and tests without restarting.
Why use it?
It shortens the edit-and-test cycle by setting up the project and reloading source changes in place.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/samtalki/agentrepl.jl/julia-develop
Any agent
npx skills add samtalki/AgentREPL.jl --skill julia-develop
Clone the repo
git clone --depth 1 https://github.com/samtalki/AgentREPL.jl

Made for: Claude Code, Codex.

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 503 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00017 $0.00503
Opus 5 $0.00009 $0.00251
Sonnet 5 $0.00003 $0.00101
Haiku 4.5 $0.00002 $0.00050

Measured 2d ago against content hash e1fc07b5e2b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

julia-develop 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 2d 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.

claude-plugin/skills/julia-develop/SKILL.md · 80 lines

What it actually says

Julia Development Workflow

Set up a complete Julia development workflow with project activation, dependency installation, and Revise.jl hot-reloading.

Arguments

  • path - Path to the project directory (default: current directory ".")

Instructions

Execute these steps in sequence:

  1. Activate the project:

    activate(path="<path>")
    
  2. Install dependencies:

    pkg(action="instantiate")
    
  3. Load the package (if it's a Julia package with src/<PkgName>.jl):

    eval(code="using <PkgName>")
    
  4. Verify Revise.jl is available:

    revise(action="status")
    

    If Revise is not available:

    pkg(action="add", packages="Revise")
    

    Then reset to reload (Revise auto-loads on startup).

  5. Report the setup to the user:

    • Project path
    • Installed dependencies
    • Package loaded
    • Revise.jl status
    • Ready for iterative development

Development Cycle

Once set up, the iterative development cycle is:

  1. Edit source files — Claude edits .jl files as needed
  2. Hot-reloadrevise(action="revise") picks up changes
  3. Testeval to run code, or pkg(action="test") for full test suite
  4. Repeat — no session restart needed

For Package Development

When developing a local package alongside a project:

pkg(action="develop", packages="./path/to/MyPkg")

This puts the package in development mode. Combined with Revise, any edits to the package source are automatically picked up without restarting.

When done:

pkg(action="free", packages="MyPkg")
Changes

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.

  1. 2d ago First seen · 80 lines · 17 tokens per session scan A e1fc07b5e2b4

Subscribe to this mod's changes

julia-develop is a skill published in the GitHub repository samtalki/AgentREPL.jl (6 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 503 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 2026-08-31.

Related

Other skills, from other repositories

bestie-features

Add BestieTemplate features (AGENTS.md, changelog, dependabot, pre-commit, lint workflow, testitem runner) to a Julia package with the bestie CLI — no Julia needed. Use when asked to add one of these files/setups to a package, or to see what BestieTemplate can add.

JuliaBesties/BestieTemplate.jl · 71 tokens

notion

Notion API for creating and managing pages, databases, and blocks. Use when the user wants to create a Notion page, query a Notion database, update Notion properties, search Notion, add content to Notion, manage Notion blocks, or interact with Notion data sources and workspaces via the API.

elizaOS/eliza · 69 tokens

agentic-supply-chain-detection

Detect agentic supply-chain risks: compromised dependencies, malicious plugins/tools/models, and untrusted update sources.

Tencent/AI-Infra-Guard · 0 tokens

skill-vetter

Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.

netease-youdao/LobsterAI · 42 tokens

ondb

A logical analysis and reasoning tool for AI. Use when decomposing documents into structured knowledge, querying entities and relations, validating consistency, or indexing files. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", "analyze this document", entity CRUD, or cross-skill…

x-cmd/x-cmd · 71 tokens

finding-protocol

Operational-tier finding template — minimal fields for sub-agent decision support. Heavyweight deliverable promotion lives in skills/decepticon/final-report.

PurpleAILAB/Decepticon · 32 tokens