Atlas / Skills / kurtosis-tech / Starlark Dev

Starlark DevSAFE

skills/kurtosis-tech/starlark-dev

A platform for packaging and launching blockchain infra. Think docker compose for blockchain

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.0
Hosts
—
License
Apache-2.0
Stars
557
01

Overview

A platform for packaging and launching blockchain infra. Think docker compose for blockchain

Read from source at commit 938b496bbe73OBSERVED · 2026-10-14
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: starlark-dev
description: Develop and debug Kurtosis Starlark packages. Create packages from scratch, understand the plan-based execution model, use print() debugging, handle future references, and test packages locally. Use when writing or troubleshooting .star files.
compatibility: Requires kurtosis CLI.
metadata:
  author: ethpandaops
  version: "1.0"
---

# Starlark Dev

Create, debug, and test Kurtosis Starlark packages.

## Package structure

A minimal Kurtosis package needs two files:

```
my-package/
  kurtosis.yml    # Package metadata
  main.star       # Entry point
```

### kurtosis.yml

```yaml
name: github.com/your-org/my-package
```

### main.star

```python
def run(plan, args):
    plan.add_service(
        name="my-service",
        config=ServiceConfig(
            image="nginx:latest",
            ports={
                "http": PortSpec(number=80, transport_protocol="TCP"),
            },
        ),
    )
```

## Running packages

```bash
# Run a local package
kurtosis run ./my-package

# Run with parameters
kurtosis run ./my-package '{"param1": "value1"}'

# Run a remote package from GitHub
kurtosis run github.com/ethpandaops/ethereum-package

# Run with a custom config file
kurtosis run github.com/ethpandaops/ethereum-package --args-file config.yaml

# Dry run (plan only, no execution)
kurtosis run ./my-package --dry-run
```

## Execution model

Kurtosis Starlark executes in two phases:

1. **Planning phase** — Your code runs and builds a plan of actions. `add_service()`, `exec()`, etc. don't execute immediately — they return future references.
2. **Execution phase** — The plan is executed in order. Future references are resolved to actual values.

This means you **cannot** use the return value of `plan.exec()` in Python-level logic like `if/else` during the planning phase. Use `plan.verify()` or `plan.assert()` instead.

```python
# WRONG: result is a future reference, not a real value during planning
result = plan.exec(service_name="my-service", recipe=ExecRecipe(command=["echo", "hello"]))
if result["output"] == "hello":  # This won't work as expected
    plan.print("matched")

# RIGHT: use plan.verify for conditional checks
result = plan.exec(service_name="my-service", recipe=ExecRecipe(command=["echo", "hello"]))
plan.verify(result["exit_code"], "==", 0)
```

## Debugging with print

```python
def run(plan, args):
    plan.print("Args received: {}".format(args))

    service = plan.add_service(
        name="my-service",
        config=ServiceConfig(image="nginx:latest"),
    )
    plan.print("Service IP: {}".format(service.ip_address))
    plan.print("Service hostname: {}".format(service.hostname))
```

## Common patterns

### Wait for service readiness

```python
plan.wait(
    service_name="my-service",
    recipe=GetHttpRequestRecipe(port_id="http", endpoint="/health"),
    field="code",
    assertion="==",
    target_value=200,
    timeout="60s",
)
```

### Execute commands in a service

```python
result = plan.exec(
    service_name="my-service",
    recipe=ExecRecipe(command=["cat", "/etc/hostname"]),
)
plan.verify(result["exit_code"], "==", 0)
plan.print("Hostname: {}".format(result["output"]))
```

### Upload files

```python
config_template = read_file("./templates/config.toml")
artifact = plan.render_templates(
    name="my-config",
    config={
        "config.toml": struct(
            template=config_template,
            data={"key": "value"},
        ),
    },
)

plan.add_service(
    name="my-service",
    config=ServiceConfig(
        image="my-image:latest",
        files={"/etc/myapp": artifact},
    ),
)
```

### Import from other packages

```python
dependency = import_module("github.com/org/other-package/lib.star")

def run(plan, args):
    dependency.some_function(plan)
```

## Testing

Use a dry-run → execute → verify workflow:

```bash
# 1. Validate the plan without executing
kurtosis run --dry-run ./my-package

# 2. Run and check output
kurtosis run ./my-package

# 3. Inspect the created enclave
kurtosis enclave inspect <enclave-name>

# 4. Check service logs
kurtosis service logs <enclave-name> <service-name>

# 5. Shell into a service to verify state
kurtosis service shell <enclave-name> <service-name>

# 6. Clean up after testing
kurtosis clean -a
```

## Common errors

| Error | Cause | Fix |
|-------|-------|-----|
| `cannot use future reference in if` | Using plan result in Python logic | Use `plan.verify()` or `plan.assert()` |
| `service not found` | Service name typo or not yet created | Check `plan.add_service()` name matches |
| `port not found` | Port ID mismatch | Ensure `port_id` in recipes matches `ports` dict key |
| `image pull failed` | Image doesn't exist or no auth | Verify image tag, check `docker pull` manually |
| `kurtosis.yml not found` | Running from wrong directory | Run from package root containing `kurtosis.yml` |
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

LOWPrivilege escalation / persistence · review.unsafe_action · CWE-269, CWE-250
SKILL.md
# 6. Clean up after testing
kurtosis clean -a
Why it matters. The testing workflow instructs the agent to run a broad destructive command that removes all enclaves, not just the one under test, without asking the user first.
Fix. rewrite it so the instruction says plainly what it does, and asks the user before it acts

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 938b496bbe73full audit observations/trust-audit/skill/kurtosis-tech__starlark-dev.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-14938b496bbe73SAFEB89first audit
05

Questions

What does the Starlark Dev skill do?

A platform for packaging and launching blockchain infra. Think docker compose for blockchain

Is Starlark Dev safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Starlark Dev access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (938b496bbe73), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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