ai-shopping-audit: Instructions file for Codex

AGENTS.md

ai-shopping-audit AGENTS.md is an instructions file for Codex, OpenCode from PO-VINCENT/ai-shopping-audit. It costs 272 tokens per session, scanned A, original, Apache-2.0.

Project instructions for ai-shopping-audit, a Python application that checks how ready a retail catalogue is for shopping systems and how products appear in AI-driven discovery. They describe its architecture, development commands, data rules, and security requirements.

In plain words
What is it for?
Use them when changing the application's catalogue, discovery, visibility, provider adapters, or service interfaces. They also specify tests and checks to run before handing work back.
Why use it?
They keep catalogue checks, discovery results, and observed AI visibility separate, while preventing invented product facts or exposed credentials.

Instructions file for CodexOpenCode

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

This is PO-VINCENT/ai-shopping-audit's own configuration. It tells Codex and OpenCode how to work on ai-shopping-audit 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 ai-shopping-audit configures →

Reuse

Borrowing it

Nothing to install: this file belongs to PO-VINCENT/ai-shopping-audit. 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/PO-VINCENT/ai-shopping-audit/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/PO-VINCENT/ai-shopping-audit

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 ai-shopping-audit AGENTS.md

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/po-vincent/ai-shopping-audit/agents-md"><img src="https://agentmods.dev/badge/instructions/po-vincent/ai-shopping-audit/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 272 This file is loaded in full into every session.
When invoked 272 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 $0.00272 $0.00272
Opus 5 $0.00136 $0.00136
Sonnet 5 $0.00054 $0.00054
Haiku 4.5 $0.00027 $0.00027

Measured 10d ago against content hash a22a44f1daed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ai-shopping-audit 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 10d 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 · 29 lines

What it actually says

Repository guidance

Architecture

  • Keep retail audit rules inside catalog/, discovery/, visibility/, and optimization/.
  • Keep provider HTTP details inside model_providers/; provider adapters must return the same JSON contract.
  • Keep service.py as a stable vendor-neutral application facade.
  • Treat CLI, MCP, HTTP, and A2A as thin adapters over the same service functions.
  • Return structured evidence; never invent product attributes, citations, or rankings.
  • Keep catalog readiness, discovery readiness, and observed AI visibility separate.

Development

  • Use Python 3.11 or newer.
  • Run python3 -m unittest discover -s tests -v after changing core behavior.
  • Run uv run catalogready catalog examples/messy-apparel.csv after changing an adapter.
  • Do not add provider-specific business logic to protocol adapters.
  • Never commit API keys, OAuth secrets, access tokens, or merchant customer data.
  • Never accept provider API keys in MCP, A2A, HTTP request bodies, or browser extension storage; use server environment variables.

Completion

  • Update the JSON contracts when a public result shape changes.
  • Document any compatibility limitation in docs/INTEROPERABILITY.md.
  • Preserve the no-network, deterministic core test path.
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. 10d ago First seen · 29 lines · 272 tokens per session scan A a22a44f1daed

Subscribe to this mod's changes

ai-shopping-audit AGENTS.md is an instructions file published in the GitHub repository PO-VINCENT/ai-shopping-audit (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 272 tokens to every session, about $0.0014 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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