seaworthy

seaworthy is a skill for Claude Code, Codex from IamK77/Skill. It costs 225 tokens per session (3,790 once invoked), scanned A, original, Apache-2.0.

A frontend development checklist for designing how a feature behaves when things go wrong, such as missing data, slow responses, errors, or incorrect input.

In plain words
What is it for?
Use it when building a frontend feature or checking whether an existing feature is ready for real users. It guides work on loading, error, empty, and unusual situations.
Why use it?
It helps teams handle these cases during development instead of treating them as optional finishing work. It also brings accessibility and performance considerations into the feature design.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/iamk77/skill/seaworthy
Any agent
npx skills add IamK77/Skill --skill seaworthy
Clone the repo
git clone --depth 1 https://github.com/IamK77/Skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for seaworthy

README.md
[![agentmods](https://agentmods.dev/badge/skills/iamk77/skill/seaworthy.svg)](https://agentmods.dev/skills/iamk77/skill/seaworthy)
Your own site
<a href="https://agentmods.dev/skills/iamk77/skill/seaworthy"><img src="https://agentmods.dev/badge/skills/iamk77/skill/seaworthy.svg" alt="Measured on agentmods" height="20"></a>
Per session 225 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,790 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00225 $0.03790
Opus 5 $0.00112 $0.01895
Sonnet 5 $0.00045 $0.00758
Haiku 4.5 $0.00022 $0.00379

Measured 3d ago against content hash 60b91bdfa84d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

seaworthy 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 3d 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.

skills/surface/seaworthy/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

seaworthy

!checklist init ${CLAUDE_SKILL_DIR} --force

A seaworthy ship isn't one that sails in calm water — every hull does that — it's one that keeps the crew alive in the storm. A feature is the same: anyone can write the happy path; its real quality is entirely in how it catches the user when the system breaks, returns nothing, runs slow, or gets mis-clicked. seaworthy is the fourth skill of the surface suite, the lens you hold while building, and it carries one inverted discipline — the happy path is about 40% done, not 90%, so you design the unhappy paths first. Its product is feature slices that are each complete: data → state → view → and the loading / error / empty / edge states, with accessibility and a performance budget built in. It runs across gated stages and will not advance past a GATE until the checklist tool clears it — order enforced, substance yours.

The reversal that governs everything here: what you ship is a maintained illusion, not a correct program. "Direct manipulation" — that you are dragging the file, flipping the switch — is a lie; you are sending a message to a possibly-distant, possibly-failing, thoroughly asynchronous system. The real craft of the frontend is maintaining a coherent causal story in the user's head against the machine's true asynchronous, failure-prone nature. Seen that way, a whole class of "best practices" stops being polish and becomes illusion-maintenance: optimistic updates tell the user the likely truth before it's confirmed, so "I clicked → nothing → then it moved" never happens; animation is causal narrative, telling the user this new thing came from that click; honest loading and error states are the confession when the illusion can't hold. So the unhappy paths are not a TODO list for later — they are the product, and they are designed first, because the polish pass that's supposed to add them never gets the time, and when the deadline bites, it's the unhappy paths that get cut.

This is where the agent era bites:

  • The agent ships the happy path and calls it done. It writes the fetch-and-render, the tests pass on the data case, and it stops — leaving loading/error/empty/edge as // TODO, because the happy path turns green and the failure states earn no reward. But the failure states are where the user's trust is won or lost. The agent's "done" is the 40% mark.
  • The agent fakes nothing about failure honestly. A silent optimistic update with no rollback is a trust-eroding lie; an error that drops the user's input is a betrayal it won't feel. It treats animation as decoration (adding motion that lies about causality) and leaves accessibility for "later" (a cost multiple of building it in).
  • The agent never feels "janky." Perception performance lives in a nervous system the agent has no access to — a spinner that flashes for 50ms, a list that re-sorts on every keystroke, a layout that shifts — so a perf budget must be a hard CI number, not a feeling it's trusted to have.

Read references/the-membrane.md first — the heart; for seaworthy, lean on the mind axis (the membrane: direct-manipulation-is-a-lie, the product as maintained illusion, the two conflicting "corrects" — machine-correct wants no unconfirmed data, mind-correct wants the reassuring optimistic lie). Load at the start, re-check at every gate.

Speak the user's language. The calls here are the user's — is this action safe to fake optimistically, is this animation honest, what does "feels right" mean for this interaction. Read their fluency and gloss a term on first use (optimistic UI / rollback, skeleton screen, stale-while-revalidate, causal animation, prefers-reduced-motion, focus management, INP/LCP/CLS, a performance budget). A judgment about "feel" the user can't weigh in on is taste imposed, not shared.

Read the full file on GitHub · 136 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 3d ago First seen · 136 lines · 225 tokens per session scan A 60b91bdfa84d

Subscribe to this mod's changes

seaworthy is a skill published in the GitHub repository IamK77/Skill (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 225 tokens to every session and 3,790 once invoked, about $0.0011 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 2026-08-31.

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