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 lucasfcosta/backpressured --skill type-design-reviewgit clone --depth 1 https://github.com/lucasfcosta/backpressuredWrote 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/lucasfcosta/backpressured/type-design-review)<a href="https://agentmods.dev/skills/lucasfcosta/backpressured/type-design-review"><img src="https://agentmods.dev/badge/skills/lucasfcosta/backpressured/type-design-review/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/lucasfcosta/backpressured/type-design-review"><img src="https://agentmods.dev/badge/skills/lucasfcosta/backpressured/type-design-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00067 | $0.03257 |
| Opus 5 | $0.00034 | $0.01629 |
| Sonnet 5 | $0.00013 | $0.00651 |
| Haiku 4.5 | $0.00007 | $0.00326 |
Grade A, and why
type-design-review 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 10d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Type-Design Review
Overview
Push every invariant you can into the types, so the compiler — not a runtime check, not a test, not a human reviewer — is the thing that says "no." This is the type-system instance of backpressure: a contradictory state that cannot be constructed needs no defensive check, no test, and no "this should never happen" comment, because it genuinely never can.
You are reviewing a diff for this property. Your job is not "do the types compile" — it is "could a wrong state have been represented at all, and if so, why wasn't it designed out?"
Three ideas, one throughline:
- Make impossible states impossible (Richard Feldman, elm-conf 2016): if the app forbids a combination of data, design the data model so that combination cannot be expressed.
- Parse, don't validate (Alexis King, 2019): don't check data and throw the knowledge away — parse it into a type whose existence is the proof of the invariant, then carry that type inward.
- Make illegal states unrepresentable (Yaron Minsky, Effective ML, c. 2010): making the wrong thing hard to express beats checking for the wrong thing at runtime.
When to Use
- A
backpressuredcode-review subagent is reviewing a diff (per-iteration or whole-changeset) and the diff introduces or changes data models, function signatures, or domain types. - New state is modelled with booleans / optional fields, new
switch/matchover a union, newas/!assertions, or new functions taking rawstring/number.
Not for: pure formatting, dependency bumps, or changes with no type-level surface. And not as a general reviewer — correctness/logic bugs, simplicity/reuse, and test quality belong to the general code-review reviewer. This skill is only the type-design lens: could a wrong state have been represented at all?
The one question — apply it to every type in the diff
For each data model, signature, or domain type the diff adds or changes: enumerate the states the type permits, then ask which of those the domain forbids. Each permitted-but-forbidden state is a candidate finding, and the fix is to restructure so it can no longer be expressed. That single question is the review — the smells below are common instances of it, not a closed checklist. A diff can make an illegal state representable in a shape no row names (end before start, min > max, a list that should be a set, three different nulls meaning three different things); that still counts, and you are expected to catch it from the principle. Run the question first; reach for the table for vocabulary and ready-made fixes, not as the boundary of what to look for.
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.
- 10d ago First seen · 172 lines · 67 tokens per session scan A 6b81f5c6b0e6
type-design-review is a skill published in the GitHub repository lucasfcosta/backpressured (63 stars, last pushed 3mo ago), licensed MIT. It adds 67 tokens to every session and 3,257 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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