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 skills/samtalki/agentrepl.jl/julianpx skills add samtalki/AgentREPL.jl --skill juliagit clone --depth 1 https://github.com/samtalki/AgentREPL.jlWhat 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 | $0.00042 | $0.00555 |
| Opus 5 | $0.00021 | $0.00278 |
| Sonnet 5 | $0.00008 | $0.00111 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
julia-evaluation 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.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Julia REPL — Behavioral Rules
Use the MCP tools (eval, reset, pkg, activate, session, revise, log_viewer, info) for interactive Julia work. Prefer julia script.jl via bash for one-shot scripts.
Before Every Eval
Always display code in a readable julia code block BEFORE calling eval. The MCP permission prompt shows code as an escaped string which is unreadable.
After Eval
MCP tool results are collapsed in Claude Code. For visual output (plots, heatmaps), tell the user to expand the tool result (Ctrl+O) to see it with full color — do NOT paste ANSI art into your message (it loses colors and streams token-by-token). For structured text (tables, matrices, DataFrames), paste in a fenced code block. Do not paste simple scalars or errors.
Revise vs Reset
Prefer revise — it preserves session state. Only reset when required.
| Change | Action |
|---|---|
| Function/method body or signature | revise(action="revise") |
| Struct layout (Julia < 1.12) | reset required |
| Corrupted state / stuck code | reset required |
After editing .jl files, call revise(action="revise") to hot-reload (a PostToolUse hook reminds you after .jl edits).
Error Recovery
| Error | Fix |
|---|---|
UndefVarError |
Re-run definition or check spelling |
MethodError |
Check argument types |
LoadError |
pkg(action="add", packages="...") |
cannot redefine |
reset (struct layout change) |
| Hung/infinite | eval(code=..., timeout=5) or reset |
First Use
On first Julia use in a conversation, ask which environment to activate (current directory, specific path, or global).
Capabilities
- Sessions persist variables, functions, and packages across evals
- Multiple named sessions provide isolated workers
timeoutparameter kills hung code and respawns the workermax_outputprevents context overflow from large resultsisolated=trueevals in a fresh module without polluting Mainephemeral=trueevals in a disposable temporary session
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.
- 2d ago First seen · 53 lines · 42 tokens per session scan A 2182e6c8718f
julia-evaluation is a skill published in the GitHub repository samtalki/AgentREPL.jl (6 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 555 once invoked, about $0.0002 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.
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.
aatmf-t10-confidentiality-breach
AATMF T10 — Integrity & Confidentiality Breach. System prompt extraction, training-data extraction, model-weight leakage, private-key recovery.
publish-registry
Publish @agentos-software/ registry packages from AgentOS. Use whenever the user asks to publish or release registry software/agent packages.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
lazarus-group
Adversary-emulation profile for Lazarus Group (G0032, aka Hidden Cobra / Diamond Sleet / Labyrinth Chollima), a North Korean RGB-linked actor conducting espionage, destructive, and financially motivated operations.