t3-status
Skill110 starsChanged 18 days agoMITView on GitHub
Short live answer about T3 work or a named job. Use for "status", "what's going on in <X>", "anything running?", "is <X> done?", "recap/where is <thread> at". Not for "catch me up/brief me" (t3-project-report) or "what needs me" (t3-waiting).
In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- t3-checkupSkill
- 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-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
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Follow the t3-tots-rules skill (skills/t3-tots-rules/SKILL.md).
- Very specific: line 11
No target ("status", "what's up in T3"): run t3q.py overview on every computer.
- Distinctive: line 15
Not T3 (a benchmark, build, other long job, process or PR): use the checks in t3-watch "Pick the check" once.
≈ “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.
Pick the mode
- No target ("status", "what's up in T3"): run
t3q.py overviewon every computer.T3_DAYSdefaults to 7. - A T3 project:
t3ctl threads --project '<P>' --main --limit 8. Then runt3ctl status --thread '<id>' --jsonfor each thread that is running, waiting, asking or in error, plus the newest one. Addt3ctl limitsfor anything stopped on a usage limit. - A thread: find it as in t3-tots-rules "Finding a thread". For a recap, raise
T3_LASTto 20 or 30 until the story is clear. - PRs linked to a T3 thread:
t3ctl pr --thread '<t>'ort3ctl prs --project '<P>'. Useghas the fallback. - Not T3 (a benchmark, build, other long job, process or PR): use the checks in t3-watch "Pick the check" once. Report progress markers, such as level or percent done, and the last activity time.
- Unclear: ask one short question.
Reply
- Overview: per computer and project, one line per thread with title, state, last activity, and where it stands in your words. Put "needs you" first. Add one line for the hidden agent-spawned count, and flag threads with the same title on two computers.
- One target: 2 or 3 lines. Say whether it is running, the last thing that happened and when, and anything waiting on the user. A recap may use up to 6 lines: goal, done, state, next or blocked, waiting on the user.
- Offer the full briefing only when a lot is going on.
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.

