t3-checkup
Skill110 starsChanged 17 days agoMITView on GitHub
Health check of T3 Code and the computer it runs on. Use for "health", "checkup", "is T3 ok", "is my computer ok", "why is T3 slow", or the Weekly health check routine.
In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- t3-cleanupSkill
- t3-digestSkill
- t3-get-outputSkill
- t3-getting-startedSkill
- t3-handoffSkill
- t3-install-toolsSkill
- t3-new-threadSkill
- t3-phone-answersSkill
- t3-pm-threadSkill
- t3-project-reportSkill
- t3-project-trackerSkill
- t3-save-learningsSkill
- t3-statusSkill
- t3-syncSkill
- t3-templatesSkill
- t3-thread-actionsSkill
- t3-tots-rulesSkill
- t3-updateSkill
- t3-usageSkill
- t3-waitingSkill
- t3-watchSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
Run t3q.py health on every computer.
≈ “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
Follow the t3-tots-rules skill (skills/t3-tots-rules/SKILL.md). Steps that use the box, ListMachines, routines, cards or SendToUser are Grok Bot only; other agents follow t3-tots-rules "Grok Bot only". Read-only. For the Weekly health check routine, t3-getting-started section 6 says when to add the t3-cleanup scan.
- Run
t3q.py healthon every computer. - Per computer, give one line with these parts:
- T3 running (pid), port and bind address
- stuck runs (live over 1 hour with no activity for 30 minutes), held queues, and stale pending requests (over 24 hours)
- T3 data folder size, disk free, memory available, and CPU load against the core count
- Warn when one of these is true:
- T3 listens on
0.0.0.0or::, which makes it reachable from the network. Suggest127.0.0.1. If the user says network access is fine, save that and don't warn again. - Disk free is under 10%, memory available is under 10%, load is above the core count, or the data folder is over 20 GB.
- T3 listens on
- On macOS, report free space only. For used space that matches System Settings, offer t3-cleanup.
- Suggest fixes. Apply none. A held queue isn't stuck: someone held it on purpose, so offer to resume or cancel it. Stale requests on agent-spawned threads usually belong to finished work; suggest dismissing them in T3.
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.

