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Code Contracts

OrganizationPopular
dust-tt
code-contracts

Define, use, and enforce @cc code-contracts across a codebase.

Overview

Publisherdust-tt
Repositorydust
Skill namecode-contracts
Stars
1.5K
Forks
370
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

    Published by dust-tt on GitHub. Read the source before you install it.

Installation

Install the Code Contracts 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.
    https://github.com/dust-tt/dust/tree/main/.claude/skills/code-contracts
  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/dust-tt/dust.git /tmp/dust
mkdir -p .claude/skills
cp -r /tmp/dust/.claude/skills/code-contracts .claude/skills/code-contracts
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Contracts 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 Contracts 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 Contracts 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 Contracts

A simple open format for specifying structured assumptions and requirements about code to support faster and better agent-driven software development.

typescript
/**
 * @cc [owner:spolu,label:product] balance-pre-and-fail
 * `from.balance` is expected to be greater than or equal to `invoice.amount`, fails with
 * `InsufficientBalanceError` otherwise.
 */
/**
 * @cc [owner:spolu,label:product] balance-post
 * `from.balance` is decreased by `invoice.amount` and `invoice.status` is set to `paid`.
 */
/**
 * @cc [owner:spolu,label:product] atomicity
 * The operation is atomic: either `from.balance` is decreased and `invoice.status` is set to
 * `paid`, or neither is changed.
 */
export async function payInvoice(
  invoice: Invoice,
  from: Account,
): Promise<PaidInvoice> {
 ...
}

Why code contracts?

Code contracts are written and used by both humans and agents to reason about code.

They serve three main purposes:

Specification: Compared with separate product or system specification files, which tend to drift from code and are harder to discover, code contracts are embedded locally. Humans use them to reason about behavior without having to inspect implementation details. Agents use them to guide implementations and surface important assumptions to humans and future agents.

Attention: They reduce the cycles required to reason about code by surfacing important assumptions and invariants in a structured way, freeing one of the most bottlenecked resources in modern software development teams: human attention.

Verification: Their structure and granularity enable tooling to enforce compliance and ease maintenance over time. Code contract enforcement provides a verification signal to agents that improves their performance.

Code contracts enable:

  • More efficient collaboration between human developers and coding agents.
  • Generative code analysis and verification that improves agent performance.
  • Maintenance at scale of invariants, product contracts, and security assumptions at code level.

Tooling

sh
npm install --global @spolu/cc-check

The cc-check command-line interface provides:

  • cc-check format [file-like]: reports malformed @cc syntax and duplicate contract IDs in a supported source or CONTRACTS file. Without a path, it recursively inspects every supported file in the current directory. It never rewrites files or assesses contract prose or implementation compliance.
  • cc-check list <file-like|location-like>: lists contracts attached to declarations throughout a supported source file, or contracts applicable to the declaration containing a source location and its declaration ancestors. Directory-scoped contracts from ancestor CONTRACTS files are included by default; pass --no-global to exclude them.
text
cc-check format
cc-check format path/file.rs
cc-check list path/to/file.ts:42
cc-check list path/to/file.go

Specification and grammar

@cc directives are extracted from documentation comments in any supported source language. Each directive defines one code contract. Contracts are generally colocated with or within function, class, or method definitions.

Code contracts that are not attached to a declaration live in a file named CONTRACTS. They apply to all code contained in the directory where that file lives and its descendant directories. Their typical use case is expressing directory-scoped coding rules, such as architectural boundaries, dependency constraints, or security practices.

CONTRACTS file example:

text
@cc [owner:spolu,label:architecture] database-access-thru-resources
Database accesses must happen exclusively through `Resource`-like interfaces.

@cc [owner:spolu,label:security] no-sensitive-data-logging
Credentials, tokens, secrets and user data must not be logged.

The grammar uses ISO-style EBNF. SP is one or more spaces and NL is a line break. Comment delimiters and decorations such as /**, */, //, ///, Python docstring triple quotes, and leading * are removed before parsing.

ebnf
contracts_file
              = { contract, NL } ;
contract      = directive, NL, prose ;
directive     = "@cc", SP, [ metadata, SP ], contract_id ;

metadata      = "[", attribute, { ",", attribute }, "]" ;
attribute     = key, ":", value ;

contract_id   = token ;
key           = token ;
value         = token ;
prose         = prose_line, { NL, prose_line } ;

token is a non-empty sequence without whitespace, commas, colons, or square brackets. Metadata keys are extensible; owner, notify, and label are well-known. A contract may have multiple owners, notification recipients, and labels. Prefer ; to separate values within an attribute instead of repeating its key: [owner:spolu;tdraier,label:product] instead of [owner:spolu,owner:tdraier,label:product], or label:product;security for multiple labels. Repeated keys remain valid. Semicolon-separated lists are a metadata convention; the parser preserves each value as a single token. prose_line is any line that does not begin with an @cc directive.

owner lists GitHub usernames to notify when an existing contract is changed or removed. Contract introductions do not notify owners. notify lists GitHub usernames to notify on every discovered violation of that contract. For example, [owner:spolu,notify:spolu;flvndvd,label:product] notifies spolu about contract changes and both spolu and flvndvd about violations. Owners are not automatically notified about violations; include them in notify if they want both. Review agents split semicolon lists, combine repeated keys, and deduplicate usernames.

The prose body is non-empty and extends to the end of the documentation comment, the next @cc directive in a CONTRACTS file, or the end of that file. It may contain any text and span any number of lines. The core format does not prescribe vocabulary, sentence shape, modality, or a requirements notation, but Markdown is generally expected.

A documentation comment contains one @cc directive. Multiple consecutive contract comments may attach to the same declaration. Contract IDs are unique and stable within the declaration to which they are attached; the same ID may be used on a different declaration. Contracts in a CONTRACTS file are not attached to a declaration, and their IDs are unique and stable within that file and across all parent CONTRACTS files.

The identity of an attached contract is the language-specific identity of its declaration plus its contract ID. The identity of a directory contract is the repository-relative path of its CONTRACTS file plus its contract ID.

Code contracts workflow

For $code-contracts verify, follow On-demand verification.

Discovering contracts

Before changing or reviewing code, identify every local, enclosing-declaration, and ancestor CONTRACTS-file obligation governing the target, manually or with cc-check list. Resolve called symbols and inspect their contracts too: a call can violate a contract declared in another file.

Treat all applicable local and directory contracts as simultaneous obligations. Surface conflicting, obsolete, or impossible contracts instead of choosing one silently. Documentation examples and intentionally malformed test fixtures are not production contract declarations.

Writing contracts

Code contracts are effective when they are simple, concise, and precise. Place a declaration-specific contract in that language's supported documentation comment or docstring. Place a contract governing a directory tree in CONTRACTS, normally for architectural, security, or coding constraints. Use the narrowest relevant declaration or directory boundary.

Each source documentation block contains exactly one contract. Keep contract IDs unique and stable within their declaration. Keep CONTRACTS IDs unique and stable within that file and its parent CONTRACTS files. Set owner to the current user's GitHub username; use their authenticated GitHub identity when available, and ask rather than guessing when it cannot be determined. Multiple owners are possible; prefer separating their usernames with ; in a single owner attribute. Use the same convention for multiple labels and notify recipients. Set notify only when explicitly requested by the user; do not infer it from owner. Preserve established repository metadata conventions.

Validate contract syntax with cc-check format. The command reports malformed syntax and duplicate IDs only. It does not prove that the prose is true or that code complies with it. You are responsible for verifying contracts' validity and coherence and the code's compliance. Validate contract discoverability with cc-check list.

Write each contract around a concrete obligation:

  • Identify the regression it prevents. Name a plausible change that would violate the requirement. A statement that only describes the function's purpose belongs in ordinary documentation.
  • State an observable requirement. Prefer "[condition,] subject MUST/MUST NOT satisfy requirement." Direct invariants are equally valid; normative keywords alone do not make prose precise.
  • Separate independent obligations. Use one contract per requirement. Conditional cases defining a single requirement may share a contract.
  • Make decisive cases explicit. Include missing-data, fallback, error, or side-effect behavior when it determines compliance. Distinguish returning no result from failing to obtain a result.
  • Specify the boundary precisely. Identify the relevant inputs, outputs, fields, states, or effects. Turn phrases such as "workspace-wide" into explicit preconditions or guarantees when intended.
  • Preserve intent across implementations. Omit purpose statements, rationale, and algorithm narration unless they impose an actual constraint. Do not promote incidental implementation behavior into a requirement without evidence of intent.

Before keeping a contract, check that a reviewer can identify both a concrete violation and an alternative implementation that satisfies it.

Enforcing contracts

You must ensure at all times that all discovered and introduced contracts related to a code change are valid, coherent, enforced, and respected. There is no automated semantic enforcement of contracts. Code changes are assumed to comply with all applicable contracts, so authors and reviewers must verify that compliance.

Any contract violation is a finding. It must be fixed or surfaced clearly. Any contradictory contracts are a finding. They must be reconciled or surfaced clearly.

When behavior intentionally changes, update the relevant contracts in the same change. Verify the impact of the contract change on consumers of the associated declaration.

CRITICAL REQUIREMENTS for all code changes

  • Discover and review applicable contracts before choosing the technical design.
  • Introduce relevant contracts for new behavior.
  • Backfill missing contracts when material assumptions about pre-existing code are made.
  • Update or remove contracts for changed behavior.
  • Reconcile the implementation, relevant tests, and contract prose after each meaningful change.
  • When behavior intentionally changes, update the contract in the same change if that specification change is in scope.
  • Never delete or weaken a contract merely to make an implementation appear compliant.
  • Treat a code/contract mismatch as a finding. Fix it or surface it clearly; do not assume either side is automatically correct.

On-demand verification

When invoked as $code-contracts verify, or when a review workflow requests this procedure, perform a read-only contract review. Read applicable repository instructions. Do not edit files or post reviews or notifications unless separately requested.

Use the requested PR, revision range, file, or directory as the scope. Without an explicit scope, review the current task's changes, including committed branch changes and staged, unstaged, and untracked files. Infer the branch's comparison base from the task or repository context; ask for the scope if no target or baseline can be established. A file or directory can be verified against its current contracts without a diff. When a workflow supplies captured commits, use that exact comparison even if the branch advances.

  1. Inspect the diff and surrounding implementation, or the full selected code when no diff applies. For a commit comparison, use git diff --find-renames <merge_base> <head_sha> and git show <merge_base>:<path> for old code and contracts. Include local changes when in scope. Discover changed files locally even when a supplied file list may be truncated. Inspect additions, modifications, and the effects of deletions. Compare entire contract bodies and metadata; searching added @cc lines alone misses prose-only changes and removed contracts.
  2. Apply Discovering contracts to the code in scope. Validate relevant contract syntax with cc-check format; it checks syntax, not semantic validity or compliance. Use a caller-supplied cc-check executable when provided. If tooling is unavailable, inspect contracts manually and disclose any resulting verification limit.
  3. Check each code element against its applicable contracts. Trace actual inputs, guards, errors, outputs, state changes, and side effects. Check contracts for validity and consistency with the implementation and with other applicable contracts. Report contradictions and evidenced mismatches; neither code nor contract is automatically correct. Do not excuse a violation because its contract was weakened or deleted in the same change. Distinguish an intentional, coherent specification change from a hidden regression.
  4. For every introduced, changed, or explicitly targeted contract, inspect the implementing declaration and its consumers, including unchanged callers. Find callers and references with rg and source navigation. Trace imports, re-exports, aliases, wrappers, and type/member uses; confirm each match refers to the affected declaration. For directory contracts, inspect the affected code in their subtree and consumers of affected declarations.
  5. At each inspected caller/reference, discover its own applicable contracts using cc-check list <caller-location> or manual inspection. Check both that the call respects the callee's contract and that the callee's changed guarantees keep the caller compliant with its own contracts. Follow evidence through wrappers; do not assume consumers are compatible.
  6. Inspect at most 64 distinct callers/references per affected declaration, deduplicating overlapping callers and references. Prioritize changed callers, high-risk behavior, and diverse usage patterns. This also bounds further investigation through callers. Keep caller counts, uninspected scope, search limitations, and uncertain relationships in your working analysis. Disclose limitations that materially affect a conclusion, with the relevant finding when applicable. Never imply exhaustive verification when capped or blocked.

Reuse applicable validation results for the inspected revision. Respect sandbox restrictions; an unavailable or failed tool alone is not evidence of a contract violation. Continue source analysis and report material verification limits.

Use the invoking workflow's output format when specified. Otherwise, report concise findings with the contract ID and declaration/file, exact source location, evidence, and consequence. Include pre-existing violations found within scope and identify them as such; avoid speculative or unrelated general review findings. If no violations are found, state that for the inspected scope, with any material limitations.

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 Contracts AI skill do?

Define, use, and enforce @cc code-contracts across a codebase.

Why use Code Contracts on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dust-tt/dust/tree/main/.claude/skills/code-contracts. 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 Contracts?

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 Contracts?

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

Is the Code Contracts AI skill free?

Yes. It is published on GitHub by dust-tt under the MIT 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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