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mnemopay-sdk: Instructions file for Gemini CLI

GEMINI.md

mnemopay-sdk GEMINI.md is an instructions file for Gemini CLI from mnemopay/mnemopay-sdk. It costs 606 tokens per session, scanned A, original, Apache-2.0.

A set of development instructions for the MnemoPay SDK, a TypeScript toolkit for AI-agent identity, reputation scoring, payments, and tamper-evident memory.

In plain words
What is it for?
It is for building, testing, linting, type-checking, and running the SDK's payment, scoring, ledger, memory, and MCP server components.
Why use it?
It explains the project's architecture, operating modes, key files, and commands so contributors can work consistently.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions CLAUDE.md.

This is mnemopay/mnemopay-sdk's own configuration. It tells Gemini CLI how to work on mnemopay-sdk 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 mnemopay-sdk configures →

not rated 8repo 2d ago A scan 606 tokens original Apache-2.0
View source ↗ mnemopay/mnemopay-sdk mnemopay.com
Reuse

Borrowing it

Nothing to install: this file belongs to mnemopay/mnemopay-sdk. 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/mnemopay/mnemopay-sdk/master/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/mnemopay/mnemopay-sdk

Made for: Gemini CLI.

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Per session 606 This file is loaded in full into every session.
When invoked 606 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 $0.00606 $0.00606
Opus 5.5 $0.00242 $0.00242
Sonnet 5.5 $0.00121 $0.00121
Haiku 4.5 $0.00061 $0.00061

Measured 1mo ago against content hash 9d7d7b4ae9ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mnemopay-sdk GEMINI.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 1mo 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.

GEMINI.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MnemoPay SDK - Context & Instructions

MnemoPay is a comprehensive trust and reputation layer for AI agents, providing Agent Credit Scoring (300-850), behavioral finance, payments, and tamper-evident memory.

Project Overview

  • Purpose: Unified SDK for agent identity (KYA), credit scoring, secure payments (Stripe, Paystack, Lightning), and cognitive memory.
  • Architecture: Modular TypeScript design in src/.
    • fico.ts: Agent Credit Score calculation.
    • behavioral.ts: Nobel-laureate inspired behavioral economics for agents.
    • integrity.ts: Merkle-tree based memory verification.
    • anomaly.ts: EWMA and canary-based compromise detection.
    • ledger.ts: Double-entry, hash-chained financial ledger.
    • mcp/: Model Context Protocol server implementation.
  • Modes:
    • MnemoPay.quick(): Zero-infra, in-memory mode for dev/testing.
    • MnemoPay.create(): Production mode with durable storage and real payment rails.

Building and Running

  • Install Dependencies: npm install
  • Build: npm run build (compiles TS to dist/)
  • Test: npm test (runs Vitest suite with 670+ tests)
  • Lint/Type-Check: npm run lint
  • MCP Server: Run via mnemopay-mcp binary or node dist/mcp/server.js.

Development Conventions

  • Technical Integrity:
    • NEVER use string amounts for currency; always use numbers (2-decimal precision).
    • Always pair charge() with settle() or refund().
    • Use MnemoPay.quick() for unit tests to avoid external dependencies.
  • Testing:
    • All new features MUST include tests in tests/ mirroring the src/ structure.
    • Run npm test before any commit.
    • Stress tests (e.g., stress-200k.test.ts) should be run for core ledger changes.
  • Security:
    • Respect the sanitizeMemoryContent logic to prevent prompt injection.
    • Always use constant-time equality for sensitive comparisons (e.g., constantTimeEqual in identity.ts).
  • Styling:
    • Follow the Stripe-inspired design system detailed in DESIGN.md for any UI/web work.
    • Use sohne-var font with "ss01" and weight 300 for headlines.

Read the full file on GitHub · 50 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. 1mo ago First seen · 50 lines · 606 tokens per session scan A 9d7d7b4ae9ff

Subscribe to this mod's changes

mnemopay-sdk GEMINI.md is an instructions file published in the GitHub repository mnemopay/mnemopay-sdk (8 stars, last pushed 2d ago), licensed Apache-2.0. It adds 606 tokens to every session, about $0.0024 per session on Opus 5.5. 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.

Building agentsFinance and fintechTypeScriptagent-bankingagent-memoryagentic-commerceai-agentmcp
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