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Guidelines Advisor

OrganizationPopular
trailofbits
guidelines-advisor

Smart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture, check upgradeability patterns, assess implementation quality, identify pitfalls, review dependencies, and evaluate testing. Use when asking whether a smart contract project follows development best practices, reviewing on-chain/off-chain split, upgradeability, or delegatecall proxy patterns against guidelines, or seeking recommendations on contract design, inheritance, events, documentation, dependencies, or test strategy.

Overview

Publishertrailofbits
Repositoryskills
Skill nameguidelines-advisor
Stars
7.1K
Forks
611
Bundled files
5
LicenseCC-BY-SA-4.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by trailofbits on GitHub. Read the source before you install it.

Installation

Install the Guidelines Advisor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/trailofbits/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/building-secure-contracts/skills/guidelines-advisor .claude/skills/guidelines-advisor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Guidelines Advisor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Guidelines Advisor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Guidelines Advisor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Guidelines Advisor

Purpose

Systematically analyzes the codebase and provides guidance based on Trail of Bits' development guidelines:

  1. Generate documentation and specifications (plain English descriptions, architectural diagrams, code documentation)
  2. Optimize on-chain/off-chain architecture (only if applicable)
  3. Review upgradeability patterns (if your project has upgrades)
  4. Check delegatecall/proxy implementations (if present)
  5. Assess implementation quality (functions, inheritance, events)
  6. Identify common pitfalls
  7. Review dependencies
  8. Evaluate test suite and suggest improvements

Framework: Building Secure Contracts - Development Guidelines


How This Works

Phase 1: Discovery & Context

Explores the codebase to understand:

  • Project structure and platform
  • Contract/module files and their purposes
  • Existing documentation
  • Architecture patterns (proxies, upgrades, etc.)
  • Testing setup
  • Dependencies

Phase 2: Documentation Generation

Helps create:

  • Plain English system description
  • Architectural diagrams (using Slither printers for Solidity)
  • Code documentation recommendations (NatSpec for Solidity)

Phase 3: Architecture Analysis

Analyzes:

  • On-chain vs off-chain component distribution (if applicable)
  • Upgradeability approach (if applicable)
  • Delegatecall proxy patterns (if present)

Phase 4: Implementation Review

Assesses:

  • Function composition and clarity
  • Inheritance structure
  • Event logging practices
  • Common pitfalls presence
  • Dependencies quality
  • Testing coverage and techniques

Phase 5: Recommendations

Provides:

  • Prioritized improvement suggestions
  • Best practice guidance
  • Actionable next steps

Assessment Areas

I analyze 11 comprehensive areas covering all aspects of smart contract development. For detailed criteria, best practices, and specific checks, see ASSESSMENT_AREAS.md.

Quick Reference:

  1. Documentation & Specifications

    • Plain English system descriptions
    • Architectural diagrams
    • NatSpec completeness (Solidity)
    • Documentation gaps identification
  2. On-Chain vs Off-Chain Computation

    • Complexity analysis
    • Gas optimization opportunities
    • Verification vs computation patterns
  3. Upgradeability

    • Migration vs upgradeability trade-offs
    • Data separation patterns
    • Upgrade procedure documentation
  4. Delegatecall Proxy Pattern

    • Storage layout consistency
    • Initialization patterns
    • Function shadowing risks
    • Slither upgradeability checks
  5. Function Composition

    • Function size and clarity
    • Logical grouping
    • Modularity assessment
  6. Inheritance

    • Hierarchy depth/width
    • Diamond problem risks
    • Inheritance visualization
  7. Events

    • Critical operation coverage
    • Event naming consistency
    • Indexed parameters
  8. Common Pitfalls

    • Reentrancy patterns
    • Integer overflow/underflow
    • Access control issues
    • Platform-specific vulnerabilities
  9. Dependencies

    • Library quality assessment
    • Version management
    • Dependency manager usage
    • Copied code detection
  10. Testing & Verification

    • Coverage analysis
    • Fuzzing techniques
    • Formal verification
    • CI/CD integration
  11. Platform-Specific Guidance

    • Solidity version recommendations
    • Compiler warning checks
    • Inline assembly warnings
    • Platform-specific tools

For complete details on each area including what I'll check, analyze, and recommend, see ASSESSMENT_AREAS.md.


Example Output

When the analysis is complete, you'll receive comprehensive guidance covering:

  • System documentation with plain English descriptions
  • Architectural diagrams and documentation gaps
  • Architecture analysis (on-chain/off-chain, upgradeability, proxies)
  • Implementation review (functions, inheritance, events, pitfalls)
  • Dependencies and testing evaluation
  • Prioritized recommendations (CRITICAL, HIGH, MEDIUM, LOW)
  • Overall assessment and path to production

For a complete example analysis report, see EXAMPLE_REPORT.md.


Deliverables

I provide four comprehensive deliverable categories:

1. System Documentation

  • Plain English descriptions
  • Architectural diagrams
  • Documentation gaps analysis

2. Architecture Analysis

  • On-chain/off-chain assessment
  • Upgradeability review
  • Proxy pattern security review

3. Implementation Review

  • Function composition analysis
  • Inheritance assessment
  • Events coverage
  • Pitfall identification
  • Dependencies evaluation
  • Testing analysis

4. Prioritized Recommendations

  • CRITICAL (address immediately)
  • HIGH (address before deployment)
  • MEDIUM (address for production quality)
  • LOW (nice to have)

For detailed templates and examples of each deliverable, see DELIVERABLES.md.


Assessment Process

When invoked, I will:

  1. Explore the codebase

    • Identify all contract/module files
    • Find existing documentation
    • Locate test files
    • Check for proxies/upgrades
    • Identify dependencies
  2. Generate documentation

    • Create plain English system description
    • Generate architectural diagrams (if tools available)
    • Identify documentation gaps
  3. Analyze architecture

    • Assess on-chain/off-chain distribution (if applicable)
    • Review upgradeability approach (if applicable)
    • Audit proxy patterns (if present)
  4. Review implementation

    • Analyze functions, inheritance, events
    • Check for common pitfalls
    • Assess dependencies
    • Evaluate testing
  5. Provide recommendations

    • Present findings with file references
    • Ask clarifying questions about design decisions
    • Suggest prioritized improvements
    • Offer actionable next steps

Rationalizations (Do Not Skip)

RationalizationWhy It's WrongRequired Action
"System is simple, description covers everything"Plain English descriptions miss security-critical detailsComplete all 5 phases: documentation, architecture, implementation, dependencies, recommendations
"No upgrades detected, skip upgradeability section"Upgradeability can be implicit (ownable patterns, delegatecall)Search for proxy patterns, delegatecall, storage collisions before declaring N/A
"Not applicable" without verificationPremature scope reduction misses vulnerabilitiesVerify with explicit codebase search before skipping any guideline section
"Architecture is straightforward, no analysis needed"Obvious architectures have subtle trust boundariesAnalyze on-chain/off-chain distribution, access control flow, external dependencies
"Common pitfalls don't apply to this codebase"Every codebase has common pitfallsSystematically check all guideline pitfalls with grep/code search
"Tests exist, testing guideline is satisfied"Test existence ≠ test qualityCheck coverage, property-based tests, integration tests, failure cases
"I can provide generic best practices"Generic advice isn't actionableProvide project-specific findings with file:line references
"User knows what to improve from findings"Findings without prioritization = no action planGenerate prioritized improvement roadmap with specific next steps

Notes

  • I'll only analyze relevant sections (won't hallucinate about upgrades if not present)
  • I'll adapt to your platform (Solidity, Rust, Cairo, etc.)
  • I'll use available tools (Slither, etc.) but work without them if unavailable
  • I'll provide file references and line numbers for all findings
  • I'll ask questions about design decisions I can't infer from code

Ready to Begin

What I'll need:

  • Access to your codebase
  • Context about your project goals
  • Any existing documentation or specifications
  • Information about deployment plans

Let's analyze your codebase and improve it using Trail of Bits' best practices!

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Guidelines Advisor AI skill do?

Smart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture, check upgradeability patterns, assess implementation quality, identify pitfalls, review dependencies, and evaluate testing. Use when asking whether a smart contract project follows development best practices, reviewing on-chain/off-chain split, upgradeability, or delegatecall proxy patterns against guidelines, or seeking recommendations on contract design, inheritance, events, documentation, dependencies, or test strategy.

Why use Guidelines Advisor on TypingMind?

Because you install it once and use it with any model. Guidelines Advisor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Guidelines Advisor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/trailofbits/skills/tree/main/plugins/building-secure-contracts/skills/guidelines-advisor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Guidelines Advisor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Guidelines Advisor?

As many as you like. As long as a model supports skills, you can use Guidelines Advisor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Guidelines Advisor AI skill free?

Yes. It is published on GitHub by trailofbits under the CC-BY-SA-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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