Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ccashwell/evm-cortex --skill type-driven-designgit clone --depth 1 https://github.com/ccashwell/evm-cortexWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ccashwell/evm-cortex/type-driven-design)<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/type-driven-design"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/type-driven-design/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/type-driven-design"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/type-driven-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.03795 |
| Opus 5.5 | $0.00028 | $0.01518 |
| Sonnet 5.5 | $0.00014 | $0.00759 |
| Haiku 4.5 | $0.00007 | $0.00380 |
Grade A, and why
type-driven-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 504 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Type-Driven Solidity Design
Type-driven design replaces object inheritance with struct composition and free functions. Instead of deep inheritance trees where storage layouts are hidden and method overriding is opaque, each data concern is a standalone struct with free functions bound via using ... for ... global. Contracts compose these types and serve only as the external interface.
Reference implementation: jtriley2p/type-driven-tokens
Why This Matters
Inheritance-based Solidity creates problems that compound as protocols grow:
- Hidden interfaces — parent contracts add external/public functions implicitly
- Storage layout opacity — storage slots are scattered across an inheritance tree
- Method override fragility —
virtual/overridechains break silently on refactor - Testing requires mocks — abstract contracts can't be tested without mock inheritors
- Inheritance hell — diamond inheritance, linearization surprises, C3 ambiguity
Type-driven design eliminates all of these. The entire external interface is explicit in one contract. Storage is visible as struct composition. Each component is independently testable without mocks.
Core Principles
1. Types Encapsulate Storage
Each struct wraps the minimum storage it needs. The internal field is private by convention (_inner).
struct Balances {
mapping(address => uint256) _inner;
}
struct TotalSupply {
uint256 _inner;
}
struct Allowances {
mapping(address => mapping(address => uint256)) _inner;
}
struct Operators {
mapping(address => mapping(address => bool)) _inner;
}
2. Free Functions Define Behavior
Behavior is defined as free functions (file-level, outside any contract) bound to the struct with using ... for ... global. Every mutating function takes Type storage self and returns Type storage for fluent chaining.
using { read, write, increase, decrease } for Balances global;
function read(Balances storage self, address account) view returns (uint256) {
return self._inner[account];
}
function write(Balances storage self, address account, uint256 amount) returns (Balances storage) {
self._inner[account] = amount;
return self;
}
function increase(Balances storage self, address account, uint256 amount) returns (Balances storage) {
self._inner[account] += amount;
return self;
}
function decrease(Balances storage self, address account, uint256 amount) returns (Balances storage) {
self._inner[account] -= amount;
return self;
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 504 lines · 71 tokens per session scan A 760afe1065be
type-driven-design is a skill published in the GitHub repository ccashwell/evm-cortex (131 stars, last pushed 17d ago), licensed MIT. It adds 71 tokens to every session and 3,795 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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