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 It checks that price data is not outdated or manipulated.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
Ready-to-paste message
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-auditOr 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.mdTechnical 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
- Define the parameters, thresholds, and identity bindings required for the target operational register.
- Select appropriate boundary enforcement values from validated enum select sets.
- 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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4217
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
agent-architecture-audit
Makes your agent check if everything is working correctly. It finds and fixes problems in AI systems, ensuring they perform as expected.
affaan-m/ECC
agent-eval
Helps your agent compare different AI coding tools. It measures which one is faster, cheaper, and more reliable for specific tasks.
affaan-m/ECC
agent-harness-construction
Makes your agent better understand how to perform tasks. It optimizes the tools and instructions the agent uses to increase its chances of success.
affaan-m/ECC