unboxed-loyalty-spark: Instructions file for Codex

AGENTS.md

unboxed-loyalty-spark AGENTS.md is an instructions file for Codex, OpenCode from aspekt19/unboxed-loyalty-spark. It costs 1,492 tokens per session, scanned A, original, MIT.

Repository instructions for AI coding agents working on a loyalty project. They explain where to find agent and human documentation, which production hosts and website paths to use, and where the API and MCP sources live.

In plain words
What is it for?
Use them when locating project documentation, editing the codebase, working with paid MCP tools, registering agents, checking pricing, or changing the customer portal and loyalty programs.
Why use it?
They give agents a reliable starting point and help prevent mistakes such as mixing up production hosts or renaming public paths.

Instructions file for CodexOpenCode

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

This is aspekt19/unboxed-loyalty-spark's own configuration. It tells Codex and OpenCode how to work on unboxed-loyalty-spark 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 unboxed-loyalty-spark configures →

Reuse

Borrowing it

Nothing to install: this file belongs to aspekt19/unboxed-loyalty-spark. 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/aspekt19/unboxed-loyalty-spark/a2a-agents/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/aspekt19/unboxed-loyalty-spark

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 unboxed-loyalty-spark AGENTS.md

README.md
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Your own site
<a href="https://agentmods.dev/instructions/aspekt19/unboxed-loyalty-spark/agents-md"><img src="https://agentmods.dev/badge/instructions/aspekt19/unboxed-loyalty-spark/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

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.

agentmods 80×15 button for unboxed-loyalty-spark AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/aspekt19/unboxed-loyalty-spark/agents-md"><img src="https://agentmods.dev/badge/instructions/aspekt19/unboxed-loyalty-spark/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,492 This file is loaded in full into every session.
When invoked 1,492 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.01492 $0.01492
Opus 5.5 $0.00597 $0.00597
Sonnet 5.5 $0.00298 $0.00298
Haiku 4.5 $0.00149 $0.00149

Measured 27d ago against content hash b033ecdda293, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

unboxed-loyalty-spark AGENTS.md scanned grade A with 1 finding 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 27d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Copy-paste MCP/curl: [examples/agent-mcp/](./examples/agent-mcp/) (`lsk_`) · [examples/recipient-agent-mcp/](./examples/recipient-agent-mcp/) (`rwk_`). Local-only scripts: `scripts/x402-paid-mcp-test/`, `scripts/agent-re
AGENTS.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI agents — where to look

  • Keep landing decoration lazy-loaded in R3F, using CSS-token materials and reduced-motion support — isolates visual changes from product behavior.

This file is the entry point for coding agents (Cursor, OpenServ, Claude Code, and so on). Human product copy stays in the root README.md; machine-oriented discovery lives under public/.well-known/.

Read first

What Path
Paid MCP via x402 Merchant tools: mcp-bazaar-tools.ts · recipient tools: recipient-mcp-bazaar-tools.ts · HTTP 402 + Bazaar metadata: x402-bazaar-accept.ts · quickstart docs/agents/QUICKSTART.md
Free lsk_ without web login (SIWE) docs/agents/AUTONOMOUS_AGENT_REGISTRATION.md
Monetization & public pricing (merchant + agents) docs/business/MONETIZATION_AND_PRICING.md
Distributable skill bundle (Base / Claude / ChatGPT) Source: skills/loyal-spark/ (16 guides in /.well-known/skills/ 00–15) · Submission guide: docs/agents/BASE_SKILLS_SUBMISSION.md
Repo rules for edits (stack, folders, API scopes) .cursorrules
Human docs index (build, Farcaster, OpenServ, Supabase runbooks) docs/README.md
Merchant / customer portal UI & team invites docs/development/PORTALS_AND_TEAM.md
B20 vs legacy ERC-20 program deploy docs/development/LOYALTY_PROGRAM_CONTRACTS.md
Edge Functions catalogue supabase/functions/README.md
Supabase layout (migrations vs functions) supabase/README.md

Read the full file on GitHub · 67 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. 27d ago Changed · +4 lines · +39 tokens per session b033ecdda293
  2. 29d ago Changed · +2 lines · +30 tokens per session 5eb79f116a86
  3. 1mo ago Changed · -32 tokens per session ed9de1fb15b0
  4. 1mo ago Changed · -9 lines · -540 tokens per session a557b317b1e0
  5. 1mo ago Changed · +4 lines · +190 tokens per session f588cf98eca2
  6. 2mo ago Changed · +19 tokens per session f2a3815128cd
  7. 2mo ago First seen · 66 lines · 1,786 tokens per session scan A aabc8acff368

Subscribe to this mod's changes

unboxed-loyalty-spark AGENTS.md is an instructions file published in the GitHub repository aspekt19/unboxed-loyalty-spark (1 stars, last pushed 27d ago), licensed MIT. It adds 1,492 tokens to every session, about $0.0060 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode