auditing-foundry-smart-contract-security

Editorial and source context

What this Skill does

Auditing Foundry Smart Contract Security is a source-indexed Agent Skill for security, quality & compliance work. Based on the SKILL.md description, it focuses on pre-deployment security audit of solidity smart contracts in a foundry project. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

What the author says

Pre-deployment security audit of Solidity smart contracts in a Foundry project. Combines static analysis (Slither, Aderyn), symbolic execution (Mythril), and property-based testing (forge fuzz + invariant tests with handlers) to catch reentrancy, access-control, oracle/price manipulation, and arithmetic bugs BEFORE deploying to an EVM chain. Also enforces key hygiene (no plaintext private keys, encrypted cast keystore) and a secure deploy workflow. Use when writing, reviewing, testing, or deploying Solidity/Foundry contracts, building a dApp, or working with forge/cast/anvil, MetaMask, or Web3/DeFi code.

Compatibility and requirements

• Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
• Confirm the source repository's tools, SDKs, and platform prerequisites for azure ai work.

How to install or import it

• Open the linked GitHub SKILL.md and review its scope and setup instructions.
• Install or import the skill using the agent runtime's documented workflow.
• Run a small, non-sensitive test and verify the output before broader use.

Permissions and risks

• Review every command, file path, network request, dependency, and credential scope before enabling it.
• GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.

Example workflows

• Ask an AI agent to apply Auditing Foundry Smart Contract Security to azure ai work described in the source record.
• Have the agent state assumptions, required tools, and expected output before using this security, quality & compliance skill.
• Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.