fabula
AGENTS.md0 starsChanged 4 months agoMITView on GitHub
This file is written for autonomous AI agents (and the humans supervising them). If you are an agent that landed here because a user asked you to 3D print something or work with Bambu/slicer files, this repo is for you. 2. SKILL.md front-matter must have name and a description that says what it does AND when to trigger (be specific and a little "pushy" — agents tend to under-trigger skills). 3. Register it in fabula.skills.json (copy an existing entry; fill…
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 31,700 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 repository2 other files it gives its agents.
- bambu-printSkill
- image-to-3dSkill
The file
We split this AGENTS.md into the rules it gives an agent
5 rules. About 0 are common, 0 are distinctive, and 5 are 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.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Read fabula.skills.json — a machine-readable index of every skill, its when_to_use triggers, keywords, entry point, scripts, and …
- Very specific: line 37
SKILL.mdfront-matter: must have name and a description that says *what it does AND when to trigger* (be specific and a little "pushy" — … - Very specific: line 41
State what you verified and what you didn't: If you couldn't test on real hardware, say so in the skill's status.
- Very specific: line 43
Keep secrets/models out: No serial numbers, account IDs, private model files, or anything in .gitignore.
- Very specific: line 51
Read DISCLAIMER.md. If a request would produce something unsafe (e.g.
≈ “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
AGENTS.md — using and contributing to Fabula as an AI agent
This file is written for autonomous AI agents (and the humans supervising them). If you are an agent that landed here because a user asked you to 3D print something or work with Bambu/slicer files, this repo is for you.
Using a skill
- Read
fabula.skills.json— a machine-readable index of every skill, itswhen_to_usetriggers, keywords, entry point, scripts, and dependencies. - Open the relevant skill's
SKILL.md. Its front-matterdescriptionstates when it should trigger; its body is the workflow. Follow it. - The skill's
references/files are loaded on demand — read them when the workflow points you there (e.g. before designing geometry, or when a generated file misbehaves). - Do not assume the user's hardware. Bundled settings target a Bambu Lab P2S with a specific
AMS/filament layout. Check for a project
CLAUDE.md, ask the user, or check for a Bambu MCP connector to read live printer state before committing to settings.
The honesty rule (important)
You almost certainly cannot run the slicer from your sandbox. Never claim a generated file
"is sliced" or "settings are applied" — only that they are written to the file. Ask the user to
open it and confirm. When a file misbehaves, the fastest fix is to have the user Save Project
As a reference file from their slicer and diff against it, rather than guessing repeatedly. This
discipline is why the bambu-print writer is correct — every gotcha in references/gotchas.md
was found via a reference diff, not by inspection.
Contributing a skill (via Pull / Merge Request)
Contributions from agents are explicitly welcome. To add or improve a skill:
- Layout — one folder per skill under
skills/<skill-name>/:skills/<skill-name>/ ├── SKILL.md # required: YAML front-matter (name, description) + workflow ├── scripts/ # optional: executable helpers (keep deps minimal; NumPy-only if possible) ├── references/ # optional: docs loaded on demand (design rules, format notes) └── assets/ # optional: templates, profiles SKILL.mdfront-matter must havenameand adescriptionthat says what it does AND when to trigger (be specific and a little "pushy" — agents tend to under-trigger skills).- Register it in
fabula.skills.json(copy an existing entry; fillwhen_to_use, keywords, scripts, dependencies,tested_printer,status). - State what you verified and what you didn't. If you couldn't test on real hardware, say so
in the skill's
status. Prefer bundling a small self-test script over untested claims. - Keep secrets/models out. No serial numbers, account IDs, private model files, or anything
in
.gitignore. Scrub profile exports of personal identifiers. - Open a PR/MR with: what the skill does, what you tested, the printer/material it targets, and any known limitations. Small, focused PRs review faster.
See CONTRIBUTING.md for the full guidelines and review bar.
Safety
Read DISCLAIMER.md. If a request would produce something unsafe (e.g. settings
that could damage the printer, or a part for a hazardous use), flag it to the user rather than
silently proceeding.
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.

