agentreadme

Report · marked 26 Aug 2026

anthropics/claude-cookbooks

Solid foundations, held back in a few specific places.

Jupyter Notebook · 52,143 stars · 670 files · branch main

83 /100 A-
Instructions 23/27Whether the repo tells an agent how to behave before it starts guessing. Losing marks on agent instruction file and readme as an entry point.Setup 16/18Whether an agent can install the project and get it running without a human. Losing marks on pinned runtime version.Verification loop 20/25Whether 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 static type checking.Context economy 17/20Whether the repo fits in a context window, or fights it. Losing marks on repository weight.Navigability 7/10How quickly anything new can orient itself. Losing marks on written documentation and repository description.

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

Fix these first

01
Agent instruction file
Rename or symlink to AGENTS.md so tools other than one vendor's can read it. Keeping CLAUDE.md alongside it costs nothing.
02
Static type checking
A type checker gives an agent an error message instead of a runtime surprise. It's the second-fastest feedback loop after the compiler.
03
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.

The full marking

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

Instructions 23/27 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 12/12
Specific enough that an agent can act on it.
3,519 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 2/3
README exists but never explains how to get the thing running.
Give the README an Install and a Usage heading with real commands under each. Agents pattern-match on those headings.
Setup 16/18 A

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 6/6
Commands are declared where an agent will look for them.
Makefile
scripts/ directory
✓Environment config 4/4
.env.example documents what the app needs to run.
✗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 20/25 A-

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

✗Tests exist 6/8
20 test files against 169 source files.
e.g. capabilities/text_to_sql/evaluation/tests/test_above_average_salary.py, capabilities/text_to_sql/evaluation/tests/test_average_salary.py, capabilities/text_to_sql/evaluation/tests/test_budget_allocation.py
✓Test command is discoverable 7/7
An agent can find and run `make test`.
✓Continuous integration 4/4
9 GitHub Actions workflows define what "passing" means.
✓Lint and format rules 3/3
pyproject.toml encodes the house style.
✗Static type checking 0/3
No static type checking.
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 17/20 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 99 patterns.
✓File sizes fit in context 6/6
No source file is large enough to crowd out a context window.
✗Repository weight 2/5
About 216MB 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 anthropics/claude-cookbooks 
# AGENTS.md

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

## Setup

```
uv sync
```

## Commands

```
make help
make format         # format
make format-check
make lint           # lint
make check          # lint and type check
make fix
```

## Layout

- `managed_agents/`   65 source files
- `capabilities/`     31 source files
- `claude_agent_sdk/` 27 source files
- `tool_use/`         17 source files
- `skills/`           11 source files
- `tests/`            6 source files

## Conventions

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

## Gotchas

- Copy `.env.example` before running anything that needs configuration.

---

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/anthropics/claude-cookbooks.md

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agent ready 83 out of 100

[![agent ready](https://agentreadme.com/badge/anthropics/claude-cookbooks.svg)](https://agentreadme.com/anthropics/claude-cookbooks)

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