amazon-lyr AGENTS.md

amazon-lyr AGENTS.md is an instructions file for Codex, OpenCode from ishan-parihar/amazon-lyr. It costs 954 tokens per session, scanned A, original, MIT.

A set of instructions for agents contributing to the amazon-lyr project, a Python server that connects agents to Amazon research and shopping tools.

In plain words
What is it for?
Use it when changing amazon-lyr code, running its checks, starting the server, or running individual tests.
Why use it?
It gives contributors the project's setup commands, coding conventions, architecture notes, and testing process.

Instructions file for CodexOpenCode

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

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/ishan-parihar/amazon-lyr/agents-md
Clone the repo
git clone --depth 1 https://github.com/ishan-parihar/amazon-lyr

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.

agentmods badge for amazon-lyr AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ishan-parihar/amazon-lyr/agents-md.svg)](https://agentmods.dev/instructions/ishan-parihar/amazon-lyr/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/ishan-parihar/amazon-lyr/agents-md"><img src="https://agentmods.dev/badge/instructions/ishan-parihar/amazon-lyr/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 954 This file is loaded in full into every session.
When invoked 954 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 5.1 $0.00954 $0.00954
Opus 5 $0.00477 $0.00477
Sonnet 5 $0.00191 $0.00191
Haiku 4.5 $0.00095 $0.00095

Measured 5d ago against content hash 9ede9aa0db30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

amazon-lyr 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 5d 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 · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Agent Developer Guide for amazon-lyr

Project Overview

  • Project: amazon-lyr — Amazon research & shopping MCP server + CLI (search, product details, reviews, cart, orders)
  • Language: Python 3.11+
  • Package Manager: uv
  • Repository: https://github.com/ishan-parihar/amazon-lyr
  • Family: part of the -lyr series (reddit-lyr, twitter-lyr, threads-lyr…) — browser-cookie auth, no official API keys

Build, Lint, and Test Commands

uv sync --extra dev          # install deps
uv run ruff check .          # lint
uv run ruff format --check . # format check
uv run pytest -q             # tests (no live Amazon calls; fixtures only)
uv run amazon-lyr            # CLI home view
uv run amazon-lyr serve      # MCP server (stdio)

Run one test: uv run pytest tests/test_parsers.py::test_parse_search -v

Code Style

  • Line length 100; ruff rules E/F/I/B/UP (see pyproject)
  • from __future__ import annotations at top of all modules
  • snake_case functions, PascalCase classes, UPPER_SNAKE constants
  • Custom exceptions in exceptions.py, base AmazonError(RuntimeError)
  • Tools wrap client calls in try/except → handle_api_error(e) (returns NoReturn)
  • Read tools annotated {"readOnlyHint": True}; destructive ones set destructiveHint

Architecture

amazon_lyr/
├── cli_main.py        # argparse entry; subcommands; TOON default output
├── cli_actions.py     # command dispatch + TOON/JSON formatting
├── server.py          # create_mcp_server() — FastMCP assembly
├── dependencies.py    # singleton AmazonClient accessor
├── authentication.py  # validate_session / get_auth_status
├── cookie_import.py   # obscura-core extractor (optional extra) / JSON file
├── session_state.py   # cookie persistence (~/.config/amazon-lyr/cookies.json)
├── constants.py       # endpoints, captcha markers, retry policy
├── exceptions.py, error_handler.py, ratelimit.py, logging_config.py
├── scraping/
│   ├── api_client.py  # curl_cffi chrome impersonation; captcha/signin detection;
│   │                  #   ASIN/order-id validation; return/cancel wizards
│   └── parsers.py     # HTML → normalized dicts (bs4, defensive) + review insights
└── tools/
    ├── search.py, product.py               # reads (readOnlyHint=True)
    ├── reviews.py                           # get_reviews / insights / keyword scan
    ├── shopping.py                          # cart (incl. qty updates)/wishlist/get_orders
    ├── order_mgmt.py                        # details/tracking/returns/cancellation
    └── session.py                           # auth status tool

Read the full file on GitHub · 85 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. 5d ago First seen · 85 lines · 954 tokens per session scan A 9ede9aa0db30

Subscribe to this mod's changes

amazon-lyr AGENTS.md is an instructions file published in the GitHub repository ishan-parihar/amazon-lyr (0 stars, last pushed 13d ago), licensed MIT. It adds 954 tokens to every session, about $0.0048 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.

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