ember AGENTS.md

Project instructions for working on Ember, a lightweight web browser designed for AI agents. They cover the Python package, command-line tool, tests, build commands, and coding conventions.

In plain words
What is it for?
Use them when developing, testing, or maintaining Ember's browser, web-search, crawling, and page-interaction features.
Why use it?
They give an agent the repository context and rules needed to make compatible changes and run the expected checks before committing.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/andalabx/ember/agents-md
Clone the repo
git clone --depth 1 https://github.com/andalabx/ember

Made for: Codex, OpenCode.

Per session 1,804 This file is loaded in full into every session.
When invoked 1,804 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01804 $0.01804
Opus 5 $0.00902 $0.00902
Sonnet 5 $0.00361 $0.00361
Haiku 4.5 $0.00180 $0.00180

Measured 2d ago against content hash fa0f69d79b57, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ember 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 2d 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 · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides instructions for AI coding agents working on the ember project.

Overview

ember is a lightweight headless browser for AI agents. It gives agents the ability to browse the web, search for information, crawl sites, and interact with pages.

  • The Python package lives in emb/
  • Tests live in tests/
  • The CLI entry point is emb.cli:app

Build and test

pip install -e ".[dev]"    # install in development mode with test deps
pytest tests/              # run the full test suite

All tests must pass before committing.

Code conventions

  • Use type hints on all function signatures
  • Use from __future__ import annotations at the top of every module
  • Prefer clear code and short # comments over docstrings
  • Only add a docstring when a public interface truly needs it
  • Keep functions small and focused
  • Lazy-load heavy dependencies (Lightpanda subprocess, etc.)
  • All user-facing errors should be human-readable strings, not raw tracebacks
  • Never use raw ANSI escape codes (\033[36m) in CLI output — always use Rich markup ([cyan]) so Rich can render or strip them correctly depending on the terminal
  • Never use Rich Table for CLI output — it pads all rows to the widest cell, adding trailing whitespace that looks bad. Use console.print() with manual alignment instead

Comment style

  • Keep comments short and simple
  • Use # comments only
  • Comment intent, edge cases, and security decisions
  • Do not write long comment blocks, ASCII diagrams, decorative separators, or noisy prose comments

Product standard

  • Write secure code by default. Validate input, keep safe defaults, and avoid risky shortcuts
  • Prioritize UX. Make the happy path smooth and make failure paths clear

Architecture

emb/
├── scrape.py           # URL → markdown (trafilatura first, Lightpanda fallback)
├── crawl.py            # BFS website crawler with sitemap support
├── search.py           # Web search via DuckDuckGo (no API key)
├── map.py              # URL discovery via sitemaps + page links
├── interact.py         # Browser interaction via Lightpanda + LLM provider
├── agent.py            # LLM-powered structured extraction
├── cli.py              # Typer CLI + interactive session REPL
├── api.py              # FastAPI REST server
├── mcp.py              # FastMCP server for agent frameworks
├── _browser.py         # Lightpanda auto-download, version pinning, SHA-256 verification
├── _http.py            # Redirect-safe HTTP helpers that revalidate each hop
├── _url_validator.py   # SSRF protection — blocks private/loopback/link-local IPs
└── types.py            # Shared dataclasses (ScrapeResult, SearchResult, etc.)
tests/
├── test_core.py        # Integration tests (scrape, search, crawl, map)
├── test_unit.py        # Unit tests with mocked dependencies
├── test_api.py         # FastAPI endpoint tests via TestClient
└── test_cli.py         # CLI tests via Typer CliRunner

Read the full file on GitHub · 117 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. 2d ago First seen · 117 lines · 1,804 tokens per session scan A fa0f69d79b57

Subscribe to this mod's changes

ember AGENTS.md is an instructions file published in the GitHub repository andalabx/ember (5 stars, last pushed 1mo ago), licensed MIT. It adds 1,804 tokens to every session, about $0.0090 per session on Opus 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 2026-08-31.