Report · marked 10 Oct 2026

mvanhorn/last30days-skill

Solid foundations, held back in a few specific places.

Python · 63,880 stars · 567 files · branch main

80 /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 19/25Whether an agent can check its own work. This is the category that most decides whether agent output is trustworthy. Losing marks on lint and format rules and static type checking.Context economy 15/20Whether 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.

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.

Lint and format rules

A formatter config is the cheapest way to stop reviewing whitespace in agent diffs. It moves style from opinion to a command.

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.

15,957 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 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 8/8

301 test files against 414 source files.

e.g. mcp/internal/engine/cache_lock_test.go, mcp/internal/engine/extract_test.go, mcp/internal/engine/proc_group_unix_test.go

✓Test command is discoverable 7/7

An agent can find and run `pytest`.

✓Continuous integration 4/4

9 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 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 15/20 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 33 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.

skills/last30days/scripts/lib/pipeline.py — 273KB

skills/last30days/scripts/last30days.py — 184KB

skills/last30days/scripts/lib/render.py — 151KB

✗Repository weight 4/5

About 53.2MB 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 — drafted for mvanhorn/last30days-skill

# AGENTS.md

AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

## Setup

```
uv sync
```

## Commands

```
pytest   # run the test suite
```

## Layout

- `tests/`  274 source files
- `skills/` 116 source files
- `mcp/`    22 source files

## Conventions

- Tests live alongside the code they cover, following `mcp/internal/engine/cache_lock_test.go`.
- CI defines what passing means. See `.github/workflows/changelog-guard.yml`, and keep it green.
- TODO: add the two or three conventions a newcomer always gets wrong here.

## Gotchas

- `skills/last30days/scripts/lib/pipeline.py` is 273KB. 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/mvanhorn/last30days-skill.md

A draft gets the commands right and stops at the things only a maintainer knows. What a good Python AGENTS.md looks like covers what to add by hand, and what AGENTS.md is explains the format itself.

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Think this mark is wrong?

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