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Code Maturity Assessor

OrganizationPopular
trailofbits
code-maturity-assessor

Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing, then produces a scorecard with evidence-based ratings and a priority-ordered roadmap. Use when assessing or scoring the maturity of a smart contract or blockchain codebase, producing a maturity scorecard or evaluation, or judging how mature, well-tested, or well-documented such a project is against a rubric.

Overview

Publishertrailofbits
Repositoryskills
Skill namecode-maturity-assessor
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 Code Maturity Assessor 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/code-maturity-assessor .claude/skills/code-maturity-assessor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Maturity Assessor 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 Code Maturity Assessor 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 Code Maturity Assessor 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.

Code Maturity Assessor

Purpose

Systematically assesses codebase maturity using Trail of Bits' 9-category framework. Provides evidence-based ratings and actionable recommendations.

Framework: Building Secure Contracts - Code Maturity Evaluation v0.1.0


How This Works

Phase 1: Discovery

Explores the codebase to understand:

  • Project structure and platform
  • Contract/module files
  • Test coverage
  • Documentation availability

Phase 2: Analysis

For each of 9 categories, I'll:

  • Search the code for relevant patterns
  • Read key files to assess implementation
  • Present findings with file references
  • Ask clarifying questions about processes I can't see in code
  • Determine rating based on criteria

Phase 3: Report

Generates:

  • Executive summary
  • Maturity scorecard (ratings for all 9 categories)
  • Detailed analysis with evidence
  • Priority-ordered improvement roadmap

Rating System

  • Missing (0): Not present/not implemented
  • Weak (1): Several significant improvements needed
  • Moderate (2): Adequate, can be improved
  • Satisfactory (3): Above average, minor improvements
  • Strong (4): Exceptional, only small improvements possible

Rating Logic:

  • ANY "Weak" criteria → Weak
  • NO "Weak" + SOME "Moderate" unmet → Moderate
  • ALL "Moderate" + SOME "Satisfactory" met → Satisfactory
  • ALL "Satisfactory" + exceptional practices → Strong

The 9 Categories

I assess 9 comprehensive categories covering all aspects of code maturity. For detailed criteria, analysis approaches, and rating thresholds, see ASSESSMENT_CRITERIA.md.

Quick Reference:

1. ARITHMETIC

  • Overflow protection mechanisms
  • Precision handling and rounding
  • Formula specifications
  • Edge case testing

2. AUDITING

  • Event definitions and coverage
  • Monitoring infrastructure
  • Incident response planning

3. AUTHENTICATION / ACCESS CONTROLS

  • Privilege management
  • Role separation
  • Access control testing
  • Key compromise scenarios

4. COMPLEXITY MANAGEMENT

  • Function scope and clarity
  • Cyclomatic complexity
  • Inheritance hierarchies
  • Code duplication

5. DECENTRALIZATION

  • Centralization risks
  • Upgrade control mechanisms
  • User opt-out paths
  • Timelock/multisig patterns

6. DOCUMENTATION

  • Specifications and architecture
  • Inline code documentation
  • User stories
  • Domain glossaries

7. TRANSACTION ORDERING RISKS

  • MEV vulnerabilities
  • Front-running protections
  • Slippage controls
  • Oracle security

8. LOW-LEVEL MANIPULATION

  • Assembly usage
  • Unsafe code sections
  • Low-level calls
  • Justification and testing

9. TESTING & VERIFICATION

  • Test coverage
  • Fuzzing and formal verification
  • CI/CD integration
  • Test quality

For complete assessment criteria including what I'll analyze, what I'll ask you, and detailed rating thresholds (WEAK/MODERATE/SATISFACTORY/STRONG), see ASSESSMENT_CRITERIA.md.


Example Output

When the assessment is complete, you'll receive a comprehensive maturity report including:

  • Executive Summary: Overall score, top 3 strengths, top 3 gaps, priority recommendations
  • Maturity Scorecard: Table with all 9 categories rated with scores and notes
  • Detailed Analysis: Category-by-category breakdown with evidence (file:line references)
  • Improvement Roadmap: Priority-ordered recommendations (CRITICAL/HIGH/MEDIUM) with effort estimates

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


Assessment Process

When invoked, I will:

  1. Explore codebase

    • Find contract/module files
    • Identify test files
    • Locate documentation
  2. Analyze each category

    • Search for relevant code patterns
    • Read key implementations
    • Assess against criteria
    • Collect evidence
  3. Interactive assessment

    • Present my findings with file references
    • Ask about processes I can't see in code
    • Discuss borderline cases
    • Determine ratings together
  4. Generate report

    • Executive summary
    • Maturity scorecard table
    • Detailed category analysis with evidence
    • Priority-ordered improvement roadmap

Rationalizations (Do Not Skip)

RationalizationWhy It's WrongRequired Action
"Found some findings, assessment complete"Assessment requires evaluating ALL 9 categoriesComplete assessment of all 9 categories with evidence for each
"I see events, auditing category looks good"Events alone don't equal auditing maturityCheck logging comprehensiveness, testing, incident response processes
"Code looks simple, complexity is low"Visual simplicity masks composition complexityAnalyze cyclomatic complexity, dependency depth, state machine transitions
"Not a DeFi protocol, MEV category doesn't apply"MEV extends beyond DeFi (governance, NFTs, games)Verify with transaction ordering analysis before declaring N/A
"No assembly found, low-level category is N/A"Low-level risks include external calls, delegatecall, inline assemblySearch for all low-level patterns before skipping category
"This is taking too long"Thorough assessment requires time per categoryComplete all 9 categories, ask clarifying questions about off-chain processes
"I can rate this without evidence"Ratings without file:line references = unsubstantiated claimsCollect concrete code evidence for every category assessment
"User will know what to improve"Vague guidance = no actionProvide priority-ordered roadmap with specific improvements and effort estimates

Report Format

For detailed report structure and templates, see REPORT_FORMAT.md.

Structure:

  1. Executive Summary

    • Project name and platform
    • Overall maturity (average rating)
    • Top 3 strengths
    • Top 3 critical gaps
    • Priority recommendations
  2. Maturity Scorecard

    • Table with all 9 categories
    • Ratings and scores
    • Key findings notes
  3. Detailed Analysis

    • Per-category breakdown
    • Evidence with file:line references
    • Gaps and improvement actions
  4. Improvement Roadmap

    • CRITICAL (immediate)
    • HIGH (1-2 months)
    • MEDIUM (2-4 months)
    • Effort estimates and impact

Ready to Begin

Estimated Time: 30-40 minutes

I'll need:

  • Access to full codebase
  • Your knowledge of processes (monitoring, incident response, team practices)
  • Context about the project (DeFi, NFT, infrastructure, etc.)

Let's assess this codebase!

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 Code Maturity Assessor AI skill do?

Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing, then produces a scorecard with evidence-based ratings and a priority-ordered roadmap. Use when assessing or scoring the maturity of a smart contract or blockchain codebase, producing a maturity scorecard or evaluation, or judging how mature, well-tested, or well-documented such a project is against a rubric.

Why use Code Maturity Assessor on TypingMind?

Because you install it once and use it with any model. Code Maturity Assessor 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 Code Maturity Assessor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/trailofbits/skills/tree/main/plugins/building-secure-contracts/skills/code-maturity-assessor. 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 Code Maturity Assessor?

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 Code Maturity Assessor?

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

Is the Code Maturity Assessor 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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