Soroban Oracle Data Feed Audit

What it is: Tracks decentralized price feed providers, staleness boundaries, and multi-source medianizer logic to prevent oracle manipulation in Soroban protocols.

Overview

Provides a standardized, auditable framework and data model for Soroban Oracle Data Feed Audit operations across distributed engineering and decentralized application systems.

When to Use This Skill

• When formalizing architectural contracts, security invariants, or operational limits for Soroban Oracle Data Feed Audit.
• When cross-functional review is required between protocol developers, smart contract auditors, and AI engineering agents.
• When generating reproducible CSV, SQL DDL, JSON Schema, and Notion property registers for tracking compliance.

How It Works

1. Define the parameters, thresholds, and identity bindings required for the target operational register.
2. Select appropriate boundary enforcement values from validated enum select sets.
3. Export standardized artifacts (CSV table, SQL DDL, JSON Schema) to integrate into validation CI pipelines.

Field Reference

#	Field Name	Type	SQL Type	JSON Schema Type	Notion Property Type	Example Value
1	Oracle Feed ID	id	SERIAL PRIMARY KEY	integer	Text	ORC-001
2	Asset Pair Identifier	text	VARCHAR(32)	string	Text	XLM/USD
3	Oracle Contract Address	text	VARCHAR(56)	string	Text	CORC...
4	Max Stale Period Seconds	number	INTEGER	number	Number	300
5	Deviation Threshold Bps	number	INTEGER	number	Number	100
6	TWAP Window Length Seconds	number	INTEGER	number	Number	1800
7	Medianizer Minimum Sources	number	INTEGER	number	Number	3
8	Circuit Breaker Reversion Bound	select	VARCHAR(16)	string	Select	Yes
9	Feed Health Status	select	VARCHAR(32)	string	Select	Active Healthy
10	Last Reported Price	currency	NUMERIC(18,7)	number	Number	0.1250000
11	Audit Verification Date	date	DATE	string, format: date	Date	2026-10-01

Select Options

Circuit Breaker Reversion Bound

Yes | No

Feed Health Status

Active Healthy | Stale Alert | Deviation Triggered | Paused

Relations

• Audit Reference -> links to the formal review documentation or test repository.
• Target Architecture -> links to the deployed contract or autonomous agent runtime component.

Examples

Prompt

How do I configure and track Soroban Oracle Data Feed Audit for our production environment?

Recommended Next Step

Generate the unified field schema, SQL DDL migration, and JSON validation schema to register into your system catalog.

Workflow: Define criteria -> Run automated verification -> Record baseline -> Monitor invariants.

Best Practices

• Enforce strict typing on numerical bounds and currency amounts; avoid unstructured free-text fields for critical states.
• Re-run validation test suites on every state-altering commit or parameter change.
• Keep example data synthetic and isolated from production cryptographic keys or private endpoints.

Limitations

• Provides architectural specifications, data models, and verification schemas; does not execute direct transaction signing without authorized external tooling.
• Requires network connectivity and valid RPC credentials when querying on-chain states.

Security & Safety Notes

• All parameters declare risk: safe. No unauthorized state modification or privileged credential access is performed.
• Use synthetic dummy keys and mock addresses in test suites and local verification scripts.

Common Pitfalls

• Problem: Mismatched decimal precision between contract runtime and database register. Solution: Always verify decimals using the explicit field mapping in this reference.
• Problem: Missing authorization checks prior to state update. Solution: Cross-validate against the Security Audit register before deployment.

Related Skills

• @soroban-contract-audit - provides the security checklist and vulnerability categorization.
• @soroban-storage-ttl-lifecycle - covers ledger rent and TTL extension policy.
• @smart-contract-formal-verification - verifies state invariants mathematically.

Reusable Prompt

I want to establish a verified Soroban Oracle Data Feed Audit register for our production protocol.
Guide me through the required field parameters and output the corresponding SQL DDL and JSON Schema.