transcript-healthcheck
Skill7 starsChanged 17 days agoMITView on GitHub
Use when auditing Grok Bot fleet transcripts for user friction, proposing new skills/bots/routines from repeated corrections, or running the standing transcript-healthcheck routine.
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- TheVeller/claude-skillsedited, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- TheVeller/claude-skills★ 4100% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository19 other files it gives its agents.
- whetstone-signalSkill
- design-a-grok-botSkill
- overheard-setupSkill
- overheardSkill
- routine-healthcheckSkill
- diagram-designSkill
- engineering-playbookSkill
- show-meSkill
- chatgpt-images-browser-playbookSkill
- aeo-geo-siteSkill
- exact-match-intent-seoSkill
- coachSkill
- draftSkill
- no-ai-slopSkill
- outlineSkill
- social-copywritingSkill
- source-checkSkill
- top-editSkill
- x-articleSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 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.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Default window is the last 24 hours.
≈ “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
Transcript healthcheck
Scan Grok Bot transcripts on disk for user friction in a time window. Propose new skills, bots, or routines only when evidence supports them. Do not create anything until the user picks a proposal.
When to run
- the standing
transcript-healthcheckroutine fires - the user asks for a fleet checkup, friction audit, or "what should we automate"
- first run after this skill is imported (offer cadence then)
Window and corpus
Default window is the last 24 hours. If a routine or the user names another cadence, use that window instead.
Corpus is on this computer:
/home/box/agent-data/agent-transcripts/<agentId>/<agentId>.jsonl- skip folders whose names start with
sand-subagent- - order candidates by real modification time, never by UUID name
- map
<agentId>to a name via/home/box/agent-data/agents/<agentId>/profile.json
State the window and bot count back before mining.
How to mine (recall-shaped)
Fan out parallel subagents. Each gets a slice of agent transcript paths. The main thread keeps only their findings.
Each subagent returns one block per bot that had user traffic in the window:
- bot name and id
- user goals in the window (short)
- friction signals with short quotes or paraphrases (cite approx turn or timestamp if present)
- repeated corrections or re-asks
- misunderstandings (bot did X, user wanted Y)
- candidate gaps: skill / bot / routine, one line each, or
none
Friction to look for:
- frustration, sarcasm, "stop", "wrong", "i said", "undo", "not what i meant"
- same instruction restated
- user doing work the bot should own
- bot asking preference questions an experiment could settle
- quiet failure (user abandons a thread)
Skip bots with no user messages in the window. Null is a finding.
Report
Lead with a capsule (at most 5 bullets). Then a short list of proposals, each tagged skill | bot | routine, with the evidence line that earned it. Then "no change" bots in one line if useful.
Stay quiet when the routine fires and there is nothing to propose. Do not send "(no change.)".
Offer to implement only after the user picks. Do not CreateAgent, write skills, or create routines from this report alone.
First-run cadence
On first import, ask once what cadence they want (default weekday morning). Create or update the standing routine named transcript-healthcheck to match. Do not ask again every run.
Credit: Lauren Tan (@poteto), dr eggbot names this healthcheck and its weekday friction scan. pstack recall is a related transcript-mining workflow. See the source audit for the evidence and license limits.
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.

