Report · marked 27 Aug 2026

roboflow/supervision

Solid foundations, held back in a few specific places.

Python · 49,747 stars · 417 files · branch develop

83 /100 A-

Instructions 27/27Whether the repo tells an agent how to behave before it starts guessing. Full marks.Setup 6/14Whether an agent can install the project and get it running without a human. Losing marks on discoverable commands and pinned runtime version.Verification loop 24/25Whether an agent can check its own work. This is the category that most decides whether agent output is trustworthy. Losing marks on static type checking.Context economy 13/20Whether the repo fits in a context window, or fights it. Losing marks on file sizes fit in context and repository weight.Navigability 10/10How quickly anything new can orient itself. Full marks.

Higher is better. Accent marks what is costing you most.

Fix these first

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.

Repository weight

Large binaries and vendored trees slow every operation an agent performs. Git LFS or a separate assets repo keeps the working tree navigable.

Pinned runtime version

Add a .nvmrc, .python-version, or equivalent so the agent's toolchain matches yours.

The full marking

Every deduction below names the file or setting it came from.

Instructions 27/27 A+

Whether the repo tells an agent how to behave before it starts guessing.

✓Agent instruction file 12/12

AGENTS.md is present, which is the format the most tools read.

Also found: CLAUDE.md, Copilot instructions

✓Instruction quality 12/12

Specific enough that an agent can act on it.

7,842 characters, a workable length

names the actual commands to run

uses headings, so an agent can skim it

includes copyable code blocks

✓README as an entry point 3/3

README has a clear getting-started section.

Setup 6/14 C

Whether an agent can install the project and get it running without a human.

✓Deterministic install 6/6

uv.lock pins the dependency tree.

Found uv.lock

✗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 24/25 A+

Whether an agent can check its own work. This is the category that most decides whether agent output is trustworthy.

✓Tests exist 8/8

129 test files against 255 source files.

e.g. tests/__init__.py, tests/annotators/__init__.py, tests/annotators/test_core.py

✓Test command is discoverable 7/7

An agent can find and run `pytest`.

✓Continuous integration 4/4

10 GitHub Actions workflows define what "passing" means.

✓Lint and format rules 3/3

pyproject.toml encodes the house style.

✗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 13/20 B

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 115 patterns.

✗File sizes fit in context 4/6

3 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.

src/supervision/detection/core.py — 133KB

src/supervision/annotators/core.py — 132KB

tests/detection/test_core.py — 105KB

✗Repository weight 0/5

About 3985MB checked out. Large enough that cloning and searching are both slow.

Large binaries and vendored trees slow every operation an agent performs. Git LFS or a separate assets repo keeps the working tree navigable.

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 — drafted for roboflow/supervision

# AGENTS.md

We write your reusable computer vision tools. 💜

## Setup

```
uv sync
```

## Commands

```
pytest         # run the test suite
ruff check .   # lint
```

## Layout

- `tests/`    113 source files
- `src/`      98 source files
- `examples/` 35 source files
- `docs/`     6 source files

## Conventions

- Tests live alongside the code they cover, following `tests/__init__.py`.
- CI defines what passing means. See `.github/workflows/build-package.yml`, and keep it green.
- TODO: add the two or three conventions a newcomer always gets wrong here.

## Gotchas

- `src/supervision/detection/core.py` is 133KB. It will not fit comfortably in context, so read it in parts.

---

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/roboflow/supervision.md

Show the mark

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[![agent ready](https://agentreadme.com/badge/roboflow/supervision.svg)](https://agentreadme.com/roboflow/supervision)

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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.

Open an issue, already filled in