john
Swamp is the meaning of life
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- cli_invocation100.0%31kaudit40%13k
- record13k
model34%11k- method7.8k
- type1.2k
- create1.0k
- search271
- get139
- validate69
- output48
- delete26
- edit9
- list8
- evaluate7
data14%4.4k- get3.5k
- query511
- list250
- search104
- versions7
workflow9%2.8k- run1.4k
- history684
- validate308
- search145
- create141
- get63
- schema41
- evaluate30
- list27
- delete2
extension2%516- search157
- pull117
- install73
- source66
- push31
- list26
- fmt11
- trust8
- version7
- yank6
- quality4
- rm4
- info2
- remove2
- ls1
vault1%303- put176
- list57
- get15
- search15
- list-keys14
- create13
- type8
- read-secret3
- inspect1
help0%70- model24
- issue14
- workflow10
- vault6
- extension5
- data4
- report1
- datastore1
- auth1
auth0%60- whoami51
- login6
- status3
datastore0%56- status16
- lock15
- sync15
- setup10
issue0%33- bug14
- feature10
- get5
- ripple4
repo0%26- index13
- upgrade7
- status3
- clone1
- init1
- open1
doctor0%24- extensions19
- workflows1
creek0%11- type5
- call5
- describe1
source0%11- path6
- fetch5
report0%10- get6
- search3
- describe1
update0%7serve0%6summarise0%5open0%4version0%3
K8s
Kubernetes operational toolkit — 15 model types covering pods, deployments, services, RBAC, storage, networking, autoscaling, batch jobs, and more. Includes 13 ready-to-run workflows for namespace debugging, security audits, RBAC analysis, cluster health, and operational diagnostics.
Tensorlake
Execute swamp workflows and model methods in Tensorlake micro-VM sandboxes with real-time stdout/stderr streaming
Tailscale
Tailscale tailnet management — 10 model types covering devices, users, ACLs, DNS, auth keys, webhooks, settings, contacts, posture, and log config. 22 workflows for device inventory, user lifecycle, ACL audit, security audit, compliance, incident response, monitoring, and more. Fix: OAuth token cache now keys on credentials so different tailnets/OAuth clients no longer share tokens.
Axiom
Query and interrogate Axiom datasets from swamp — list datasets, describe schemas, and run APL queries with results stored as model data.