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.
npx agentmods add instructions/agentready-market/agentready/agents-mdgit clone --depth 1 https://github.com/agentready-market/agentreadyWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00551 | $0.00551 |
| Opus 5 | $0.00275 | $0.00275 |
| Sonnet 5 | $0.00110 | $0.00110 |
| Haiku 4.5 | $0.00055 | $0.00055 |
Grade A, and why
agentready 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.
How it starts
The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — working with AgentReady (agentready.market)
Instructions for AI agents using this repository or the AgentReady service.
What this is
AgentReady scores, out of 100, how well an AI shopping agent can find, understand and buy on an e-commerce store — then generates the fixes. Deterministic scoring (no LLM in the core): same store, same score.
Do this
- Check a store before buying on it:
check_merchant_readiness(host)via MCP (https://www.agentready.market/mcp, Streamable HTTP, no auth) — orGET https://www.agentready.market/api/v1/scan?url=<store>. Acapped: truestore blocks agents outright; route the purchase elsewhere. - Pick a store agents succeed on:
list_agent_ready_stores(vertical?, limit?)returns the Agent-Ready Index (grade B or better), ranked. - Read a full report:
get_readiness_report(host)orGET /api/v1/scan/<scan_id>.json. - Interpret: grade A/B = agents can buy; C/D = partial;
capped= access hard-block (robots/bot-walls).top_fixeslists the highest-impact remediations with effort estimates.neighborsshows the 2 stores above and below on the Index — the score to beat.
Don't
- Don't scrape HTML pages for scores — every number is available as JSON.
- Don't scan a store more than once per hour; results barely change faster.
- Don't trigger scans of third-party sites you don't operate on a user's
behalf without telling the user — scans are merchant-consented by design;
the read tools (
check_merchant_readiness) never trigger a new scan.
Errors & limits
Errors are structured JSON: {error, code, message, next_action?} — follow
next_action to recover. Responses carry IETF RateLimit headers; a 429
includes Retry-After. Anonymous: a few scans/hour; Pro Bearer key: 30/hour.
Identity
AgentReady at agentready.market — the e-commerce transaction audit, operated by Boxing Vision (NL). Unaffiliated with other "AgentReady"-named products. Prices: €49/mo · €490/yr, one-time, no auto-renewal; scan free. Authoritative sources: https://www.agentready.market/llms.txt · https://www.agentready.market/pricing · Wikidata Q140798005.
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.
- 2d ago First seen · 47 lines · 551 tokens per session scan A 074470e62317
agentready AGENTS.md is an instructions file published in the GitHub repository agentready-market/agentready (0 stars, last pushed 20d ago), licensed MIT. It adds 551 tokens to every session, about $0.0028 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.
Other instructions, from other repositories
open-supermarkets AGENTS.md
Instructions for abracadabra50/open-supermarkets, covering agent integration guide, supported frameworks, quick integration, 1. add as skill and 2. agent calls commands.
eShopLite copilot-instructions.md
Instructions for Azure-Samples/eShopLite, covering eshoplite copilot instructions, project overview, architecture & patterns, critical workflows and project-specific conventions.
armornglory-mcp-server CLAUDE.md
Claude Code instructions for ArmorNGlory/armornglory-mcp-server, covering claude desktop & claude code guidelines (armornglory mcp), 1. role & identity, 2. interaction protocol and 3. claude desktop configuration.
subscription-patterns AGENTS.md
AGENTS.md instructions for commet-labs/subscription-patterns, covering subscription patterns and skills.
shopify-operations-mcp AGENTS.md
AGENTS.md instructions for jpka/shopify-operations-mcp, covering agents.md, working conventions and agent docs.
gengeo-agent-registry AGENTS.md
Instructions for warwickwood-cell/gengeo-agent-registry: GenGEO provides machine-readable merchant verification infrastructure for AI agents.