Report · marked 26 Aug 2026
huggingface/pytorch-image-models
Solid foundations, held back in a few specific places.
Python · 37,094 stars · 480 files · branch main
71
/100
B+
Instructions
22/27Whether the repo tells an agent how to behave before it starts guessing. Losing marks on agent instruction file and instruction quality.Setup
3/14Whether an agent can install the project and get it running without a human. Losing marks on deterministic install and discoverable commands.Verification loop
19/25Whether an agent can check its own work. This is the category that most decides whether agent output is trustworthy. Losing marks on tests exist and lint and format rules.Context economy
16/20Whether the repo fits in a context window, or fights it. Losing marks on file sizes fit in context.Navigability
8/10How quickly anything new can orient itself. Losing marks on written documentation.
Higher is better. Accent marks what is costing you most.
Fix these first
01
Discoverable commands
Declare the handful of commands that matter in package.json scripts, a Makefile, or a justfile. Naming them turns guesswork into a lookup.
02
Deterministic install
Commit the lockfile your package manager generates. Without it, an agent's install and your install are different builds, and 'works on my machine' becomes unfalsifiable.
03
File sizes fit in context
A single file that fills the context window forces an agent to work from fragments, and it will confidently edit code it never saw. Splitting the worst offenders pays for itself immediately.
The full marking
Every deduction below names the file or setting it came from.
Instructions 22/27 A-
Whether the repo tells an agent how to behave before it starts guessing.
✗Agent instruction file
9/12
CLAUDE.md is present, but not the vendor-neutral AGENTS.md.
Rename or symlink to AGENTS.md so tools other than one vendor's can read it. Keeping CLAUDE.md alongside it costs nothing.
✗Instruction quality
10/12
Specific enough that an agent can act on it.
Worth fixing: has no code blocks.
901 characters, a workable length
names the actual commands to run
uses headings, so an agent can skim it
✓README as an entry point
3/3
README has a clear getting-started section.
Setup 3/14 F
Whether an agent can install the project and get it running without a human.
✗Deterministic install
3/6
Only requirements.txt, which pins loosely at best.
Commit the lockfile your package manager generates. Without it, an agent's install and your install are different builds, and 'works on my machine' becomes unfalsifiable.
✗Discoverable commands
0/6
No declared commands. An agent has to infer how to build and run this from the file tree.
Declare the handful of commands that matter in package.json scripts, a Makefile, or a justfile. Naming them turns guesswork into a lookup.
–Environment config
n/a
Not applicable — this reads as a library, with no environment to configure.
✗Pinned runtime version
0/2
No pinned runtime version.
Add a .nvmrc, .python-version, or equivalent so the agent's toolchain matches yours.
–Reproducible environment
n/a
Not applicable — a library doesn't need a container to be worked on.
Verification loop 19/25 B+
Whether an agent can check its own work. This is the category that most decides whether agent output is trustworthy.
✗Tests exist
6/8
17 test files against 319 source files.
e.g. tests/__init__.py, tests/test_checkpoint_loading.py, tests/test_data.py
✓Test command is discoverable
7/7
An agent can find and run `pytest`.
✓Continuous integration
4/4
5 GitHub Actions workflows define what "passing" means.
✗Lint and format rules
0/3
No linter or formatter config. Style is tribal knowledge, so agent output will drift from yours.
A formatter config is the cheapest way to stop reviewing whitespace in agent diffs. It moves style from opinion to a command.
✗Static type checking
2/3
Type checking is configured, but not in strict mode.
A type checker gives an agent an error message instead of a runtime surprise. It's the second-fastest feedback loop after the compiler.
Context economy 16/20 A-
Whether the repo fits in a context window, or fights it.
✓No committed build output
6/6
No generated directories committed.
✓.gitignore hygiene
3/3
.gitignore covers 75 patterns.
✗File sizes fit in context
2/6
5 source files are over 100KB.
A single file that fills the context window forces an agent to work from fragments, and it will confidently edit code it never saw. Splitting the worst offenders pays for itself immediately.
timm/models/vision_transformer.py — 213KB
timm/models/efficientnet.py — 123KB
timm/models/eva.py — 120KB
✓Repository weight
5/5
About 31.1MB checked out, which is comfortable.
Here is your AGENTS.md
Drafted from what is actually in this repository: the install
command from your lockfile, the commands you already declare, your real directory layout. Anything
marked TODO needs a person. Save it at the root as AGENTS.md.
# AGENTS.md The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more ## Setup ``` pip install -r requirements.txt ``` ## Commands ``` pytest # run the test suite ``` ## Layout - `timm/` 285 source files - `tests/` 16 source files - `convert/` 4 source files - `results/` 1 source file ## Conventions - Tests live alongside the code they cover, following `tests/__init__.py`. - CI defines what passing means. See `.github/workflows/build_documentation.yml`, and keep it green. - TODO: add the two or three conventions a newcomer always gets wrong here. ## Gotchas - `timm/models/vision_transformer.py` is 213KB. It will not fit comfortably in context, so read it in parts. - No lockfile is committed, so an install here may not match what CI produced. --- Drafted by agentreadme.com from what is in this repository. Everything marked TODO needs a human. Check it in as AGENTS.md at the root.
Open the raw markdown
or
curl -o AGENTS.md agentreadme.com/draft/huggingface/pytorch-image-models.md
Show the mark
The badge re-checks daily, so it keeps up as the repository changes. Use mark again to force it now.
[](https://agentreadme.com/huggingface/pytorch-image-models)Other Python repositories, marked
Think this mark is wrong?
Every deduction above names the file it came from, so this can be settled by looking. If a check missed something, that is a rule worth fixing.