ddgs: Instructions file for Codex

AGENTS.md

ddgs AGENTS.md is an instructions file for Codex, OpenCode from deedy5/ddgs. It costs 1,821 tokens per session, scanned A, original, MIT.

Project instructions for ddgs, a Python metasearch library that combines results from different web-search services. They describe its structure, setup, linting, formatting, and tests.

In plain words
What is it for?
Setting up ddgs, finding the right source and test files, running lint and type checks, formatting code, and running its test suite.
Why use it?
They give coding agents the project’s expected commands and architecture so changes can be checked consistently.

Instructions file for CodexOpenCode

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

This is deedy5/ddgs's own configuration. It tells Codex and OpenCode how to work on ddgs 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 ddgs configures →

View source ↗ deedy5/ddgs
About the project

DDGS is a metasearch library that collects results from multiple web search services through one interface. It supports text, image, video, news, and book searches, URL content extraction, and access through a command-line tool, API server, or MCP server. The catalogue add-on provides an agent-facing way to use these search and extraction features.

deedy5/ddgs · 3,030 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to deedy5/ddgs. 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/deedy5/ddgs/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/deedy5/ddgs

Made for: Codex, OpenCode.

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Per session 1,821 This file is loaded in full into every session.
When invoked 1,821 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01821 $0.01821
Opus 5.5 $0.00728 $0.00728
Sonnet 5.5 $0.00364 $0.00364
Haiku 4.5 $0.00182 $0.00182

Measured 1mo ago against content hash 162a79aaa6d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ddgs 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 · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Guide for Coding Agents

Project Overview

ddgs (Dux Distributed Global Search) is a Python metasearch library that aggregates results from diverse web search services. It provides a DDGS class with methods like text(), images(), news(), videos(), books(), and extract().

  • Python: >=3.10 (tested up to 3.14)
  • Dependencies: click, primp, lxml
  • Package layout: ddgs/ (source), tests/ (tests), optional extras: api (FastAPI), mcp (stdio)

Build / Lint / Test Commands

# Setup (creates .venv, installs dev deps)
python3 -m venv .venv
.venv/bin/pip install -e .[dev]

# Lint (ruff check + mypy type-check)
.venv/bin/ruff check --fix
.venv/bin/mypy --install-types --non-interactive .

# Format
.venv/bin/ruff format

# Run all tests
.venv/bin/pytest

# Run a single test file
.venv/bin/pytest tests/ddgs_test.py

# Run a single test function
.venv/bin/pytest tests/ddgs_test.py::test_text_search

# Make targets (use .venv/bin/python internally)
make lint
make format
make test

Important: Tests make real HTTP requests and include a 2-second pause between tests (autouse fixture). Tests are slow by nature.

Engine Architecture

Each search engine is a subclass of BaseSearchEngine[T] in ddgs/engines/. Key concepts:

  • ENGINES dict in ddgs/engines/__init__.py maps category → {name → engine class}.
  • DDGS._search() spawns threads via ThreadPoolExecutor, calling engine.search() in parallel.
  • Results are deduplicated and ranked by ResultsAggregator and SimpleFilterRanker.
  • BaseSearchEngine handles HTTP requests, HTML parsing (lxml), and XPath-based result extraction.
  • Engine instances are cached per DDGS instance in _engines_cache.

Pre-commit Hooks

Pre-commit is managed via prek (not pre-commit). Install with prek install. Hooks run on commit:

  1. Standard checks (large files, AST, trailing whitespace, etc.)
  2. ruff check --fix
  3. ruff format
  4. mypy --install-types --non-interactive .

Read the full file on GitHub · 161 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 · 161 lines · 1,821 tokens per session scan A 162a79aaa6d4

Subscribe to this mod's changes

ddgs AGENTS.md is an instructions file published in the GitHub repository deedy5/ddgs (3,030 stars, last pushed yesterday), licensed MIT. It adds 1,821 tokens to every session, about $0.0073 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.

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