aitour27-LTG243-fabric-iq-from-rows-to-reliable-answers
AGENTS.md0 starsChanged 27 days agoMITView on GitHub
This repository publishes the LTG243 Fabric-only demo. The deployable source is the synthetic data under data/, the Fabric item definitions under src/fabric/, and the two root deployment entry points. - Read instructions/README.md before running deployment commands. - Use Node.js 24 or later and the exact Fabio version pinned in .fabio-version (0.79.0). Upgrade with fabio upgrade --target-version 0.79.0 if needed. - Keep data/scenario.json frozen. Do not hardcode values already defined by the scenario. - Generated output must remain deterministic. Do not…
1 other project uses a version of this.
Adopted by
Most recently taken up by
- microsoft/frontiertour27-LTG243-fabric-iq-from-rows-to-reliable-answersword for word, first seen Oct 17, 2026
Other versions1 project uses a version of this.
Word for word · 1
Edited · 0
None found.
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.
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,439 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repositoryOne other file it gives its agents.
- .github/copilot-instructions.mdCopilot instructions
The file
We split this AGENTS.md into the rules it gives an agent
7 rules. About 0 are common, 2 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
Read instructions/README.md before running deployment commands.
- Very specific: line 10
Use Node.js 24 or later and the exact Fabio version pinned in .fabio-version (0.79.0).
- Very specific: line 12
Keep data/scenario.json frozen.
- Distinctive: line 16
After a data or model change, run:
- Distinctive: line 24
Do not weaken a failing validator or expected-answer check.
- Very specific: line 25
Do not commit data/.staging/, generated semantic-model definitions, build output, tokens, tenant/workspace/item IDs, screenshots, or …
- Very specific: line 31
Run local validation and --dry-run first.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md 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
Repository instructions for coding agents
This repository publishes the LTG243 Fabric-only demo. The deployable source is
the synthetic data under data/, the Fabric item definitions under
src/fabric/, and the two root deployment entry points.
Working rules
- Read
instructions/README.mdbefore running deployment commands. - Use Node.js 24 or later and the exact Fabio version pinned in
.fabio-version(0.79.0). Upgrade withfabio upgrade --target-version 0.79.0if needed. - Keep
data/scenario.jsonfrozen. Do not hardcode values already defined by the scenario. - Generated output must remain deterministic. Do not use current time or unseeded randomness in data generation.
After a data or model change, run:
node data/tools/generate.ts node data/tools/validate.ts node data/tools/manifest.ts- Do not weaken a failing validator or expected-answer check.
- Do not commit
data/.staging/, generated semantic-model definitions, build output, tokens, tenant/workspace/item IDs, screenshots, or command output with private values.
Fabric commands
Run local validation and --dry-run first. Before executing a command that
changes Fabric, show the workspace and command to the user and wait for
confirmation.
LTG243 does not use --with-cosmos. Use --overwrite only for data the user
intends to replace. If a command times out, inspect the workspace before
retrying.
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.

