What is Datawrapper AGENTS.md?

A contributor guide for Datawrapper, a Python library for creating charts and working with the Datawrapper service. It covers setup, preferred APIs, code boundaries, and the checks expected before a change is submitted.

Developing chart features, running type checks and tests, formatting code, building packages, and preparing Datawrapper changes for review.

It replaces guesswork about supported interfaces and project standards with the repository's agreed workflow. It also separates fast unit tests from broader mocked tests.

How chekos/Datawrapper configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to chekos/Datawrapper. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/chekos/Datawrapper/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/chekos/Datawrapper

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

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Your own site

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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

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Per session 1,219 This file is loaded in full into every session.

When invoked 1,219 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.01219	$0.01219
Opus 5.5	$0.00488	$0.00488
Sonnet 5.5	$0.00244	$0.00244
Haiku 4.5	$0.00122	$0.00122

Measured 1mo ago against content hash 5b64fcd51e58, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Datawrapper AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Guide

This repository is a lightweight Python wrapper for the Datawrapper API. It ships a single importable package, datawrapper/, with an object-oriented chart API (datawrapper.charts) and a lower-level legacy client (datawrapper.Datawrapper).

See .clinerules for the library's internal design conventions (the object-oriented chart API, serialization/deserialization patterns, annotation mixins, and other code-level guidance). This file covers repository structure and the development/CI workflow instead.

Prefer the object-oriented chart API (BarChart, LineChart, get_chart, etc.) for new work. Treat lower-level Datawrapper methods as legacy compatibility paths unless a task explicitly targets them.

Repository Structure

datawrapper/: The published package. datawrapper/charts/ holds the chart classes; datawrapper/__main__.py is the CLI entry point.
tests/: Unit, integration, and functional tests, organized under tests/unit/, tests/integration/, and tests/functional/.
docs/: Sphinx documentation source, published to Read the Docs.
.github/workflows/: Continuous integration, documentation, CodeQL, and Scorecard workflows.
Makefile: Common development and verification commands.

Development Workflow

Install dependencies with:

make bootstrap

The bootstrap uses Git metadata to identify the primary checkout. In a linked worktree, it can share the primary checkout's ignored .env and creates an ignored .env.worktree with a stable WORKTREE_ID.

Use these commands while making changes:

make check   # Fast, non-mutating lint, format, and type checks
make verify  # Full local CI suite: checks, tests, build, and docs
make test-serial  # Debug tests without parallel workers
make test-parallel  # Use for the full, independent test suite

Use make fix or make format only when changes to source files are intended. make hooks may also modify files.

Before committing, run the hook suite against all files:

Read the full file on GitHub · 131 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago Changed · +77 lines · +675 tokens per session 5b64fcd51e58
2mo ago First seen · 54 lines · 544 tokens per session scan A 7adf9713e7eb

Subscribe to this mod's changes

Datawrapper AGENTS.md is an instructions file published in the GitHub repository chekos/Datawrapper (96 stars, last pushed 13d ago), licensed MIT. It adds 1,219 tokens to every session, about $0.0049 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Python data-visualization

Datawrapper AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
Datawrapper AGENTS.mdchekos/Datawrapper	Instructions file	96	13d ago	MIT	A	1,219	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

Datawrapper: Instructions file for Codex