agentreadme

Report · marked 26 Aug 2026

hugohe3/ppt-master

An agent can work here, but it will waste turns finding its footing.

Python · 49,347 stars · 13,000 files · branch main

Fix these first

01
Test command is discoverable
Add a `test` script or a `test` target that runs the whole suite with no arguments. The convention is the interface — an agent tries `npm test` and `make test` before it tries reading your CI config.
02
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.
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 23/27 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
Instruction quality 8/12
Real instructions, with gaps.
Worth fixing: it never states a build, test, or run command.
13,222 characters, a workable length
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 7/18 D

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 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 8/25 D

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

Tests exist 8/8
46 test files against 244 source files.
e.g. skills/ppt-master/references/image-layout-spec.md, skills/ppt-master/scripts/docs/update_spec.md, skills/ppt-master/scripts/update_spec.py
Test command is discoverable 0/7
There's no obvious way to run the tests. Even if tests exist, an agent won't reliably find the entry point.
Add a `test` script or a `test` target that runs the whole suite with no arguments. The convention is the interface — an agent tries `npm test` and `make test` before it tries reading your CI config.
Continuous integration 0/4
No CI config. Nothing outside a developer's laptop enforces correctness.
A CI workflow doubles as machine-readable documentation: it's the one file that states, unambiguously, the exact commands that must succeed.
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 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 130 patterns.
File sizes fit in context 0/6
11 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/ppt-master/scripts/svg_quality/checker.py — 308KB
skills/ppt-master/scripts/svg_to_pptx/pptx_package/builder.py — 245KB
skills/ppt-master/scripts/confirm_ui/static/app.js — 230KB
Repository weight 4/5
About 116.5MB 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 hugohe3/ppt-master
# AGENTS.md

AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and support for your own .pptx templates. · by Hugo He

## Setup

```
pip install -r requirements.txt
```

## Commands

```
# TODO: nothing declares a build or test command, so an agent has to guess.
# This is the single most valuable section of this file. Fill it in.
```

## Layout

- `skills/` 244 source files

## Conventions

- Tests live alongside the code they cover, following `skills/ppt-master/references/image-layout-spec.md`.
- TODO: add the two or three conventions a newcomer always gets wrong here.

## Gotchas

- `skills/ppt-master/scripts/svg_quality/checker.py` is 308KB. It will not fit comfortably in context, so read it in parts.
- Copy `.env.example` before running anything that needs configuration.
- 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/hugohe3/ppt-master.md

Show the mark

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agent ready 61 out of 100

[![agent ready](https://agentreadme.com/badge/hugohe3/ppt-master.svg)](https://agentreadme.com/hugohe3/ppt-master)

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