dump
Skill558 starsChanged 3 years agoApache-2.0View on GitHub
Dump Kurtosis state for debugging and sharing. Export enclave state including service logs, configurations, and file artifacts to a local directory. Use when you need to capture state for offline analysis or to share with others for debugging.
In this repository21 other files it gives its agents.
- cleanSkill
- cli-local-buildSkill
- cluster-manageSkill
- context-manageSkill
- docker-debugSkill
- docker-local-buildSkill
- enclave-inspectSkill
- engine-manageSkill
- files-inspectSkill
- 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
Files
Dump
Export Kurtosis state for debugging and sharing.
Dump entire Kurtosis state
kurtosis dump /tmp/kurtosis-dumpThis exports everything: engine state, all enclaves, services, logs.
Dump a specific enclave
kurtosis enclave dump <enclave-name> /tmp/enclave-dumpWhat gets exported
The dump directory contains:
- Service logs — stdout/stderr from each service
- Service configs — how each service was configured
- File artifacts — all files stored in the enclave
- Enclave metadata — creation time, status, parameters
Directory structure
/tmp/enclave-dump/
service-1/
spec.json # Service configuration
output.log # Service logs
service-2/
spec.json
output.log
files-artifacts/
artifact-name/
file1.yaml
file2.jsonCommon uses
Share a bug report
# Dump the problematic enclave
kurtosis enclave dump failing-enclave /tmp/bug-report
# Compress for sharing
tar czf bug-report.tar.gz -C /tmp bug-reportCompare two runs
kurtosis enclave dump run-1 /tmp/dump-1
kurtosis enclave dump run-2 /tmp/dump-2
diff -r /tmp/dump-1 /tmp/dump-2Capture state before cleanup
# Dump everything before cleaning
kurtosis dump /tmp/pre-clean-dump
kurtosis clean -aDoes 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.

