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Security audit

Agent Loyalty & Incentives Engineering

Security checks for vulnerabilities and agentic risk

Overview

This is a non-executable educational guide whose external API examples and credentials are disclosed and aligned with its loyalty-program integration purpose.

Installers should treat this as a paid educational integration guide. Do not run the sample code against a production GreenHelix account unless you intend to create or mutate loyalty, identity, payment, and ledger records, and only provide an API key with the minimum permissions needed for testing. The declared wallet address is described as public-only; never provide private keys or unrelated secrets.

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (1)

External Transmission

Medium
Category
Data Exfiltration
Confidence
50% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · SKILL.md (reported line 59)May include surrounding context.

md
The merchants who figure this out first will own the agentic commerce channel. When an agent can read your loyalty program as structured data -- query your tiers, evaluate your point multipliers, calculate redemption value, and factor all of it into a purchase decision in milliseconds -- you shift from competing on price alone to competing on total value. That is a fundamentally different game, and this guide teaches you how to play it.

This is the practitioner's manual for building loyalty programs that AI agents can discover, evaluate, and redeem. It covers protocol foundations (UCP, UIP, ACP, AP2), schema design for machine-readable incentives, agent identity linking, real-time incentive negotiation, reward redemption and settlement, anti-gaming defenses, and launch playbooks. Every chapter contains production Python code against the GreenHelix A2A Commerce Gateway -- 128 tools accessible at `https://api.greenhelix.net/v1` via a single the REST API (`POST /v1/{tool}`) endpoint with Bearer token authentication.

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Static analysis

No suspicious patterns detected.