worldbank-api: Instructions file for Codex

AGENTS.md

worldbank-api AGENTS.md is an instructions file for Codex, OpenCode from NanookAI/worldbank-api. It costs 1,106 tokens per session, scanned A, original, MIT.

Instructions for a repository containing documentation and a command-line tool for the World Bank Indicators API, a service that provides economic and social statistics.

In plain words
What is it for?
Use them when editing the World Bank API skill, its reference files, or its Python query tool.
Why use it?
They help keep documented API endpoints and indicator codes accurate by requiring checks against the live service.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is NanookAI/worldbank-api's own configuration. It tells Codex and OpenCode how to work on worldbank-api itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything worldbank-api configures →

Reuse

Borrowing it

Nothing to install: this file belongs to NanookAI/worldbank-api. 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/NanookAI/worldbank-api/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/NanookAI/worldbank-api

Made for: Codex, OpenCode.

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Per session 1,106 This file is loaded in full into every session.
When invoked 1,106 The same file — it is already loaded in full.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01106 $0.01106
Opus 5.5 $0.00442 $0.00442
Sonnet 5.5 $0.00221 $0.00221
Haiku 4.5 $0.00111 $0.00111

Measured 1mo ago against content hash 0dabcf2f0155, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

worldbank-api AGENTS.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

(`curl "https://api.worldbank.org/v2/...?format=json"`) before it goes into
AGENTS.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Instructions

This repository contains an Agent Skill that teaches AI agents how to use the World Bank Indicators API (https://api.worldbank.org/v2). The deliverable is documentation, not application code.

Layout

  • skills/worldbank-api/SKILL.md — skill entry point (frontmatter, data-query workflow, top indicator codes, error handling, tips)
  • skills/worldbank-api/scripts/wb_data.py — zero-dependency CLI covering the common case (indicator + countries → formatted series) plus client-side indicator search
  • skills/worldbank-api/references/endpoints.md — full endpoint catalog: data queries, countries, indicators, topics, sources, regions, income levels, monthly/quarterly data, languages, pagination
  • skills/worldbank-api/references/indicators.md — verified indicator codes grouped by topic

Conventions

  • English only in all files. No Chinese or other non-English text in any committed file, including examples and comments.
  • Verify before documenting. Every endpoint, parameter, and indicator code must be checked against the live API (curl "https://api.worldbank.org/v2/...?format=json") before it goes into the docs. Do not copy indicator codes from memory — the World Bank archives series without notice (e.g. all EN.ATM.CO2E.* CO2 codes and the entire Doing Business source are gone), and an archived code fails only on the data query (error id 175), not the metadata query.
  • Keep SKILL.md lean (well under 500 lines). SKILL.md carries the workflow and the ~16 most-used codes; the exhaustive endpoint catalog and the larger code list belong in references/, with clear pointers from SKILL.md.
  • Explain the why. When documenting a pitfall, state the reason (e.g. "prefer mrnev over mrv because most series lag 1–2 years") so agents can generalize instead of pattern-matching.
  • Free API is the only stance. The Indicators API is keyless with no paid tier; never invent authentication steps.
  • The script stays dependency-free. wb_data.py must run on a bare Python 3.8+ standard library (urllib, json, argparse) so it works in any agent sandbox without a pip install.

Read the full file on GitHub · 75 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.

  1. 1mo ago First seen · 75 lines · 1,106 tokens per session scan A 0dabcf2f0155

Subscribe to this mod's changes

worldbank-api AGENTS.md is an instructions file published in the GitHub repository NanookAI/worldbank-api (3 stars, last pushed 3mo ago), licensed MIT. It adds 1,106 tokens to every session, about $0.0044 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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