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SKILL verified Unlicense Self-run

Julia Jet

skill-krastanov-juliallmagentskills-julia-jet · by Krastanov

Analyze Julia code with JET.jl for type errors, undefined references, and optimization failures. Use this skill when setting up or running JET analysis on Julia packages.

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Install

$ agentstack add skill-krastanov-juliallmagentskills-julia-jet

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

JET.jl

Use this skill for all JET work. Keep the overview here and load the narrow reference that matches the task.

Warning

Use JET only on the latest stable Julia release. Nightly and pre-release Julia versions often break JET because it depends on compiler internals.

Environment Rule

  • Prefer package-integrated JET runs via Pkg.test(...; test_args=["jet"]) or

the package's documented JET arguments.

  • Keep JET as a test-only dependency in test/Project.toml with root

[workspace] projects = ["test"]; avoid new [extras]/[targets] entries.

  • Avoid direct test/runtests.jl execution unless you are debugging the test

router or worker behavior.

  • Set JULIA_PKG_SERVER_REGISTRY_PREFERENCE=eager or

ENV["JULIA_PKG_SERVER_REGISTRY_PREFERENCE"] = "eager" before Pkg operations in this workspace.

  • Never read or edit Manifest.toml directly. If a JET failure appears after

dependency churn, run Pkg.update() and Pkg.resolve() in the relevant package and JET environments first. If recurrent issues remain, delete the relevant Manifest.toml file and regenerate it with Pkg.instantiate() before blaming the analyzed code.

Choose a Mode

  • Start with @report_opt to find runtime dispatch and captured variables.
  • Then use @report_call or report_package to find type-level errors.

Quick Start

using JET

@report_opt sum(Any[1, 2, 3])
@report_call sum("julia")

using MyPackage
report_package(MyPackage; target_modules=[MyPackage])
report_file("my_script.jl")

Filtering

@report_opt target_modules=(MyPackage,) my_function(args...)

Read JET stack traces from the bottom up: the bottom frame is the actual problem site.

References

  • references/config.md
  • references/testing.md
  • references/error-kinds.md
  • references/fixing-dispatch.md

Related Skills

  • julia-perf - performance work after dispatch cleanup
  • julia-tests - test-suite integration patterns

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.