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Agents48k · #4217

soroban-oracle-data-feed-audit

Makes your agent audit the security of price oracles in Soroban. It helps ensure price data is reliable and secure.

What it does

This system helps ensure that digital asset prices on decentralized finance (DeFi) platforms are reliable and secure. It checks that price data is not outdated or manipulated.

When to use it

  • ✓When setting up a new price system for cryptocurrencies.
  • ✓When you need to verify if digital asset prices are correct.
  • ✓To ensure a crypto trading system is safe from price fraud.

Example of what to ask your AI

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

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/soroban-oracle-data-feed-audit/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/soroban-oracle-data-feed-audit/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

It sets rules and limits for price data, like how stale a price can get. Then, it generates reports and code so other systems can check if these rules are being followed.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill soroban-oracle-data-feed-audit

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/soroban-oracle-data-feed-audit/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

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.

…

FAQ

What are 'oracles' in digital finance?

Oracles are services that bring real-world information (like coin prices) into blockchain systems, allowing smart contracts to react to that data.

What does 'stale price' mean?

A stale price is a quote that hasn't been updated recently and might not reflect the asset's current real value.

How does this prevent price manipulation?

By setting clear limits on how stale a price can be and checking multiple sources, the system makes it difficult for someone to insert a fake or misleading price.

Details

Original description by the author

DeFi price oracle integration and safety audit register: heartbeat bounds, stale price threshold reversion, and TWAP medianizer validation.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#4217
License
MIT
Updated
10/15/2026

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