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 agentmods add skills/moasq/agentic-ship/accessibilitynpx skills add moasq/agentic-ship --skill accessibilitygit clone --depth 1 https://github.com/moasq/agentic-shipWhat 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 | $0.00051 | $0.03390 |
| Opus 5 | $0.00026 | $0.01695 |
| Sonnet 5 | $0.00010 | $0.00678 |
| Haiku 4.5 | $0.00005 | $0.00339 |
Grade A, and why
accessibility 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 2d 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.
This is a copy
89% identical to accessibility — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 451 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accessibility (a11y)
Comprehensive accessibility guidelines based on WCAG 2.2 and Lighthouse accessibility audits. Goal: make content usable by everyone, including people with disabilities.
WCAG Principles: POUR
| Principle | Description |
|---|---|
| Perceivable | Content can be perceived through different senses |
| Operable | Interface can be operated by all users |
| Understandable | Content and interface are understandable |
| Robust | Content works with assistive technologies |
Conformance levels
| Level | Requirement | Target |
|---|---|---|
| A | Minimum accessibility | Must pass |
| AA | Standard compliance | Should pass (legal requirement in many jurisdictions) |
| AAA | Enhanced accessibility | Nice to have |
Perceivable
Text alternatives (1.1)
Images require alt text:
<!-- ❌ Missing alt -->
<img src="chart.png">
<!-- ✅ Descriptive alt -->
<img src="chart.png" alt="Bar chart showing 40% increase in Q3 sales">
<!-- ✅ Decorative image (empty alt) -->
<img src="decorative-border.png" alt="" role="presentation">
<!-- ✅ Complex image with longer description -->
<figure>
<img src="infographic.png" alt="2024 market trends infographic"
aria-describedby="infographic-desc">
<figcaption id="infographic-desc">
<!-- Detailed description -->
</figcaption>
</figure>
Icon buttons need accessible names:
<!-- ❌ No accessible name -->
<button><svg><!-- menu icon --></svg></button>
<!-- ✅ Using aria-label -->
<button aria-label="Open menu">
<svg aria-hidden="true"><!-- menu icon --></svg>
</button>
<!-- ✅ Using visually hidden text -->
<button>
<svg aria-hidden="true"><!-- menu icon --></svg>
<span class="visually-hidden">Open menu</span>
</button>
Visually hidden class:
.visually-hidden {
position: absolute;
width: 1px;
height: 1px;
padding: 0;
margin: -1px;
overflow: hidden;
clip: rect(0, 0, 0, 0);
white-space: nowrap;
border: 0;
}
What ships with it
3 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.
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.
- 2d ago First seen · 451 lines · 51 tokens per session scan A e7193cfa7082
accessibility is a skill published in the GitHub repository moasq/agentic-ship (10 stars, last pushed 3d ago), licensed MIT. It adds 51 tokens to every session and 3,390 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to accessibility, differing in 16 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.