affiliate-product: Instructions file for Codex

AGENTS.md

affiliate-product AGENTS.md is an instructions file for Codex, OpenCode from tody-agent/affiliate-product. It costs 769 tokens per session, scanned A, original, MIT.

A set of operating instructions for an affiliate-marketplace research project covering Shopee, TikTok Shop, and video analysis.

In plain words
What is it for?
It helps research products, group prices, score opportunities, inspect product variations and reviews, and prepare conversion-focused scripts or handoffs.
Why use it?
It tells the coding agent how to run the research pipeline from product discovery through scoring and reporting without stopping for repeated approval.

Instructions file for CodexOpenCode

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

This is tody-agent/affiliate-product's own configuration. It tells Codex and OpenCode how to work on affiliate-product 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 affiliate-product configures →

Reuse

Borrowing it

Nothing to install: this file belongs to tody-agent/affiliate-product. 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/tody-agent/affiliate-product/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/tody-agent/affiliate-product

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 affiliate-product AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/tody-agent/affiliate-product/agents-md.svg)](https://agentmods.dev/instructions/tody-agent/affiliate-product/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/tody-agent/affiliate-product/agents-md"><img src="https://agentmods.dev/badge/instructions/tody-agent/affiliate-product/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 769 This file is loaded in full into every session.
When invoked 769 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 $0.00769 $0.00769
Opus 5 $0.00385 $0.00385
Sonnet 5 $0.00154 $0.00154
Haiku 4.5 $0.00077 $0.00077

Measured 7d ago against content hash 7908f5316de8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

affiliate-product 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 7d 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 · 30 lines

How it starts

The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Affiliate Marketplace & Product Intelligence — Autonomous Execution Rules

⚡ Zero Confirmation Fatigue & Pipeline Autonomy (MANDATORY)

  1. Autonomous End-to-End Execution:

    • Khi người dùng yêu cầu nghiên cứu tiếp thị liên kết (Affiliate Research), tìm sản phẩm win, thẩm định gian hàng, hoặc phân tích Hotlist:
      • TỰ ĐỘNG THỰC HIỆN TRỌN VẸN PIPELINE: Tìm kiếm → Phân cụm giá → Chấm điểm Win Score → Trích xuất biến thể SKU & Review hạt giống → Tạo kịch bản CRO / Handoff.
      • TUYỆT ĐỐI KHÔNG DỪNG LẠI XIN PHÉP GIỮA CHỪNG: Không hỏi những câu như "Tôi đã tìm thấy 5 sản phẩm, bạn muốn tôi cào chi tiết sản phẩm nào?".
      • Tự động chọn Top 1-3 sản phẩm có điểm Win cao nhất để hoàn tất quy trình và báo cáo kết quả trọn gói.
  2. Phân Định Trách Nhiệm Với Dự Án /Volumes/Agency/Research:

    • Products (/Volumes/Agency/Products): Tập trung nghiên cứu sàn TMĐT (Shopee, TikTok Shop, FastMoss Hotlist, Seller Audit, SKU Variants, Reviews hạt giống, Win Score).
    • Research (/Volumes/Agency/Research): Chịu trách nhiệm bóc tách sâu video media (MLX Whisper STT trên Apple Silicon, 6 keyframes CRO, nhận diện 12 Hook Archetypes, lưu trữ SQLite FTS5 và xuất Obsidian Markdown Vault).
    • VideoFactory (/Volumes/Agency/VideoFactory): Chịu trách nhiệm dựng hình, tổng hợp giọng nói OmniVoice và render video thành phẩm.
  3. Smart E-Commerce Defaults (Mặc định Thông minh):

    • Khu vực: Vietnam (VN).
    • Khung thời gian: 28-30 ngày gần nhất (doanh số 28d GMV).
    • Phân khúc giá vàng: 150.000₫ – 500.000₫ (Impulse Buy Sweetspot).
    • Định dạng Video: 45s (6 cảnh CRO) chuẩn VideoFactory (AIEV).
    • Graceful Fallback: Nếu FastMoss offline, tự động chuyển hướng sử dụng dữ liệu trực tiếp từ Shopee/TikTok Shop.
  4. Không Tạo Menu Khảo Sát Cuối Báo Cáo:

    • Không chèn các câu hỏi dạng trắc nghiệm "Bạn muốn làm gì tiếp theo? 1. ... 2. ... 3. ..." ở cuối mỗi câu trả lời. Trả về kết quả hoàn chỉnh, súc tích và có thể hành động được ngay.

Read the full file on GitHub · 30 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. 7d ago First seen · 30 lines · 769 tokens per session scan A 7908f5316de8

Subscribe to this mod's changes

affiliate-product AGENTS.md is an instructions file published in the GitHub repository tody-agent/affiliate-product (0 stars, last pushed 12d ago), licensed MIT. It adds 769 tokens to every session, about $0.0038 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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