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/naruto1031/uproad-plugin/newnpx skills add naruto1031/uproad-plugin --skill newgit clone --depth 1 https://github.com/naruto1031/uproad-pluginWrote 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/naruto1031/uproad-plugin/new)<a href="https://agentmods.dev/skills/naruto1031/uproad-plugin/new"><img src="https://agentmods.dev/badge/skills/naruto1031/uproad-plugin/new.svg" alt="Measured on agentmods" 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 | $0.00080 | $0.01994 |
| Opus 5 | $0.00040 | $0.00997 |
| Sonnet 5 | $0.00016 | $0.00399 |
| Haiku 4.5 | $0.00008 | $0.00199 |
Grade A, and why
new 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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Take a brief to a client-ready link
Four phases with two hard stops. Do not run them together. The stops exist because a spec the user has not corrected produces a prototype built on the wrong assumptions, and a prototype they have not seen should not reach a client.
1. 要件を詰める (interview)
2. Spec を書く ────────────── STOP: 人間が直す
3. プロトタイプを作る → ローカルで見せる ── STOP: 人間がレビューする
4. 公開/非公開を選ぶ → Uproad に push → 共有リンク、または非公開のまま
Work in Japanese with the user throughout.
Phase 1 — Interview until the requirements are settled
Interview relentlessly. Walk down each branch of the decision tree, resolving dependencies between decisions one by one. Do not accept a thin brief and start building.
- One question at a time. Wait for the answer before asking the next.
- Always give your recommended answer, with the reason. A question without a recommendation makes the user do your thinking.
- If a question can be answered by looking, look instead of asking. Read the notes they pointed at, existing designs in the repo,
list_designs, the current site. Never ask for something you can find. - Order questions by what they unlock. Ask the decision that changes the most downstream choices first — who the client is and what they will decide from this, before colour and copy.
Stop when the answers no longer change what you would build. That is the shared understanding you are after — not an exhausted user. If a branch genuinely does not matter yet, say so and move on rather than asking about it.
Typical branches worth walking: 誰が見て何を判断するのか / 対象ユーザーと利用場面 / 必要な画面と遷移 / 各画面で判断に必要な情報 / 既存デザインやトンマナの制約 / 今回スコープに入れないもの.
Phase 2 — Write the spec, then STOP
Create the design directory and write the spec:
designs/<slug>/spec.md
<slug> is short, lowercase, hyphenated, and names the thing — acme-lp, billing-dashboard. One directory per design, so several designs sit side by side without colliding.
Sections, in Japanese:
- 背景・目的 — the problem, and how this gets judged
- 対象ユーザー — who uses it, in what situation
- 画面と導線 — each screen and how they connect
- 機能要件 — numbered, so an engineer can implement against them
- 確認事項 — everything still assumed or undecided
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.
- 3d ago First seen · 135 lines · 80 tokens per session scan A 4262b631bece
new is a skill published in the GitHub repository naruto1031/uproad-plugin (0 stars, last pushed 4d ago), licensed MIT. It adds 80 tokens to every session and 1,994 once invoked, about $0.0004 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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auto-perf-optimize
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chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
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…