files-inspect
Skill558 starsChanged 3 years agoApache-2.0View on GitHub
Inspect, download, upload, and debug Kurtosis file artifacts. View artifacts in an enclave, download them locally for inspection, upload local files, and troubleshoot file mounting issues. Use when services can't find expected files or configs are wrong.
In this repository21 other files it gives its agents.
- cleanSkill
- cli-local-buildSkill
- cluster-manageSkill
- context-manageSkill
- docker-debugSkill
- docker-local-buildSkill
- dumpSkill
- enclave-inspectSkill
- engine-manageSkill
- gatewaySkill
- graflokiSkill
- import-composeSkill
- k8s-clean-clusterSkill
- k8s-debug-podsSkill
- k8s-dev-deploySkill
- lintSkill
- portalSkill
- port-forwardSkill
- run-packageSkill
- service-manageSkill
- starlark-devSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 63
Verify files were mounted correctly by checking content matches expectations:
- Distinctive: line 161
When files aren't working as expected, follow these steps:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Files Inspect
Work with Kurtosis file artifacts — the mechanism for passing files between services and into containers.
What are file artifacts?
File artifacts are named collections of files stored in an enclave. They're created by:
plan.upload_files()— upload local files from a packageplan.render_templates()— render Go templates with dataplan.store_service_files()— copy files from a running serviceplan.run_sh()/plan.run_python()— store output files from scripts
Services mount artifacts via the files parameter in ServiceConfig.
List artifacts in an enclave
kurtosis enclave inspect <enclave-name>The "Files Artifacts" section shows each artifact's UUID and name:
========================================= Files Artifacts =========================================
UUID Name
4a0563e5a391 1-lighthouse-geth-0-127
f49b81f30a8f el_cl_genesis_data
88c3f17013f3 jwt_fileDownload artifacts
# Download to a local directory
kurtosis files download <enclave-name> <artifact-name> /tmp/artifact-output
# Example: inspect genesis data
kurtosis files download <enclave-name> el_cl_genesis_data /tmp/genesis
ls -la /tmp/genesis/
cat /tmp/genesis/config.yamlUpload files
# Upload a local file or directory as an artifact
kurtosis files upload <enclave-name> /path/to/local/file-or-dirThe command returns the artifact name and UUID for use in subsequent service configs.
Inspect files inside a running service
Verify files were mounted correctly by checking content matches expectations:
# List files at the mount path to confirm they exist
kurtosis service exec <enclave-name> <service-name> -- ls -la /mounted/path/
# Inspect file contents to verify correctness
kurtosis service exec <enclave-name> <service-name> -- cat /mounted/path/config.yaml
# Compare against expected content (e.g., check a key value)
kurtosis service exec <enclave-name> <service-name> -- sh -c "grep 'expected_key' /mounted/path/config.yaml"
# Or shell in for interactive exploration
kurtosis service shell <enclave-name> <service-name>Starlark file patterns
Upload files from package
artifact = plan.upload_files(src="./static_files/config.yaml", name="my-config")
plan.add_service(
name="my-service",
config=ServiceConfig(
image="my-image:latest",
files={"/etc/myapp": artifact},
),
)
# Verify files were mounted correctly
plan.exec(
service_name="my-service",
recipe=ExecRecipe(command=["ls", "-la", "/etc/myapp/"]),
)Render templates with variables
template = read_file("./templates/config.toml.tmpl")
artifact = plan.render_templates(
name="rendered-config",
config={
"config.toml": struct(
template=template,
data={"port": 8080, "host": "0.0.0.0"},
),
},
)Template syntax uses Go templates:
# config.toml.tmpl
host = "{{.host}}"
port = {{.port}}Copy files from a running service
artifact = plan.store_service_files(
service_name="my-service",
src="/data/output",
name="service-output",
)Store output from a shell command
result = plan.run_sh(
run="echo 'hello' > /tmp/output.txt && cat /tmp/output.txt",
store=[StoreSpec(src="/tmp/output.txt", name="shell-output")],
)Kubernetes-specific
On Kubernetes, file artifacts are stored as files-artifacts-expander init containers:
# See init containers for a service pod
kubectl describe pod <pod-name> -n kt-<enclave-name> | grep -A10 "Init Containers"
# Check if files-artifacts-expander succeeded
kubectl logs <pod-name> -n kt-<enclave-name> -c files-artifact-expander
# If the expander image is failing (ImagePullBackOff), check image tag
kubectl describe pod <pod-name> -n kt-<enclave-name> | grep "files-artifacts-expander"Debugging workflow
When files aren't working as expected, follow these steps:
# 1. List artifacts in the enclave to verify they exist
kurtosis enclave inspect <enclave-name>
# 2. Download the artifact and inspect its contents locally
kurtosis files download <enclave-name> <artifact-name> /tmp/debug-artifact
cat /tmp/debug-artifact/config.yaml
# 3. Verify the mount path inside the service
kurtosis service exec <enclave-name> <service-name> -- ls -la /mounted/path/
# 4. Check file contents match expectations
kurtosis service exec <enclave-name> <service-name> -- cat /mounted/path/config.yaml
# 5. If mismatch: check template data or upload sourceCommon issues
| Symptom | Cause | Fix |
| File not found in service | Wrong mount path | Check files dict key matches expected path |
| Empty file after render | Template syntax error | Download artifact and inspect rendered output |
| Init container crash | files-artifacts-expander image issue | Check init container logs with kubectl |
| Artifact name conflict | Duplicate artifact names | Use unique names for each plan.upload_files() / plan.render_templates() |
| Permission denied | Container runs as non-root | Mount to a writable path or adjust image permissions |
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

