deploy-prototype

A tool that builds a small, self-contained web app or utility from a brief and publishes it on Vercel, a service for hosting web apps. It can also choose an idea from recent project notes when no brief is given.

In plain words
What is it for?
Use it to create interactive prototypes such as visualisations, small tools, APIs, and landing pages, then make them available online.
Why use it?
It removes the manual work of turning an idea or useful information into something people can open and try in a browser. It also avoids deploying the prototype by hand.

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/aaronjmars/aeon-agent/deploy-prototype
Any agent
npx skills add aaronjmars/aeon-agent --skill deploy-prototype
Clone the repo
git clone --depth 1 https://github.com/aaronjmars/aeon-agent

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,789 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00020 $0.03789
Opus 5 $0.00010 $0.01895
Sonnet 5 $0.00004 $0.00758
Haiku 4.5 $0.00002 $0.00379

Measured 2d ago against content hash 8bb7f04ace3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

deploy-prototype scanned grade C with 2 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf .pending-deploy # clear stale state from prior runs

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Otherwise POST the inline deployment built in step 6. Write the key as the literal `{VERCEL_TOKEN}` placeholder so `./secretcurl` substitutes it internally — a bare `$VERCEL_TOKEN` on the command line is refused by the B
Origin

This is a copy

100% identical to deploy-prototype — 0 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.

skills/deploy-prototype/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

${var} — What to build and deploy.

  • Empty → auto-select from recent signals (articles, logs, memory topics).
  • Plain text (e.g. market heatmap) → interpret as a build brief.
  • Typed form type:slug description (e.g. tool:market-heatmap volume heatmap of top-20 tokens, viz:tx-graph, api:summarize, landing:startup-idea) → use type to bias shape and slug as the deployment name.

Today is ${today}. Your task is to ship a small, self-contained prototype that someone could actually use in the browser today.

Steps

  1. Read context. Read memory/MEMORY.md and the most recent entries in memory/logs/ for active topics. If running as part of a chain, scan injected upstream outputs for a concrete artifact worth making interactive.

  2. Pick what to build (if ${var} is empty or vague).

    Scan these sources, in order, for prototype-worthy signals:

    • output/articles/ — last 7 entries by mtime: any claim, finding, or dataset that would be more useful as an interactive page?
    • memory/topics/*.md — running narratives; pick one with a live data source (prices, feeds, markets)
    • memory/logs/${today}.md and the two prior days — skill outputs flagged as interesting
    • memory/MEMORY.md → "Next Priorities" and "Recent Articles"

    Score each candidate 1-5 on:

    • Leverage — does an interactive version beat the static write-up?
    • Concreteness — is the spec obvious in one sentence? (if no, reject)
    • Novelty — haven't shipped this in the last 14 days (check output/articles/prototype-*.md by mtime and any memory/topics/prototypes.md)

    Pick the highest-total candidate. If no candidate reaches 9/15, skip building and exit as DEPLOY_PROTOTYPE_EMPTY (step 9).

    Record the chosen signal — its source file(s) and one-line rationale — you'll use it in steps 6 and 7.

  3. Commit to a shape before writing code. Before touching .pending-deploy/, write out (in your reasoning, not a file):

    • Slug: aeon-prototype-<descriptor>, all lowercase, [a-z0-9-], 3–50 chars after prefix (e.g. aeon-prototype-market-heatmap). If ${var} supplied a typed slug, use it; otherwise derive one.
    • Tagline (≤90 chars) — the one-liner that appears in the page title and OG tags.
    • Primary action — what is the one thing a visitor does in the first 10 seconds? (read a number, click a filter, submit an input, compare two things). If you can't name it, go back to step 2.
    • Shape: static HTML+JS / static + api/ function / Next.js. Default to static single-file HTML unless the idea genuinely needs a serverless function.
  4. Write the files.

    rm -rf .pending-deploy        # clear stale state from prior runs
    mkdir -p .pending-deploy/files
    

    Write all project files into .pending-deploy/files/. This directory is the repo root — everything here is pushed to GitHub and deployed to Vercel.

    Quality bar — every prototype must meet these:

    • Self-contained — no external build step where avoidable. Prefer one index.html with inline <style> and <script>; fall back to a main.css / main.js only when size justifies it.
    • Loads in <1s on a cold visit. No jQuery, no CDN UI libraries for a single-page tool. Vanilla JS or a ~10KB util max. No <link rel="stylesheet"> to a CDN font unless it's one font.
    • Mobile-first, works on a phone. Viewport meta set, tap targets ≥40px, no horizontal scroll at 360px wide.
    • Share-friendly. Include <title>, <meta name="description">, <meta property="og:title">, <meta property="og:description">, <meta property="og:type" content="website">. Skip OG image unless you generate one.
    • Real content, not lorem. If the prototype shows data, fetch it from a public no-auth endpoint at load time (CoinGecko, GitHub public API, public RSS, public JSON feeds) — or hardcode a recent, realistic snapshot with the timestamp visible. Never ship placeholder [example data].
    • One visible CTA or primary surface. Clear hierarchy: what does the visitor look at first?
    • Works with JS disabled to at least show the tagline (progressive enhancement — not required for interactive tools, but the title and description must render server-free).
    • Light + dark via prefers-color-scheme — 4 CSS vars is enough.
    • No secrets. No API keys, tokens, or env vars embedded anywhere. If the idea requires auth, redesign around a public endpoint or drop the idea.
    • Include a README.md in .pending-deploy/files/ with: what it is (1 line), how to run locally (1 line), signal source (1 line link to the article/log/topic from step 2).

Read the full file on GitHub · 215 lines

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. 2d ago First seen · 215 lines · 20 tokens per session scan C 8bb7f04ace3e

Subscribe to this mod's changes

deploy-prototype is a skill published in the GitHub repository aaronjmars/aeon-agent (11 stars, last pushed 2d ago), licensed MIT. It adds 20 tokens to every session and 3,789 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). It is 100% identical to deploy-prototype, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

kagent-dev

Development guide for kagent's v1alpha3 Harness and AgentTemplate CRDs, AgentInstance gRPC control plane, upstream A2A integration, Substrate runtime provisioning, tests, generation, and PR workflow. Use for any implementation, debugging, review, or CI task in the kagent repository.

kagent-dev/kagent · 65 tokens

timoni

Use when deploying applications to Kubernetes with Timoni. Covers installing and upgrading module instances from OCI registries, composing multi-app deployments with bundles, injecting values from clusters or CI with runtimes, targeting multiple clusters, and authoring, testing, signing and publishing modules with CUE.

stefanprodan/timoni · 59 tokens

azmon-mirroredcatalogs-operations-cli

Brings Azure Monitor, Application Insights, and Log Analytics telemetry into Fabric as Eventhouse external delta tables and correlates it with business data. Use to onboard observability data, judge whether latency or availability affected revenue, or build a Real-Time dashboard and Operations Agent over it.

microsoft/skills-for-fabric · 66 tokens

durable-objects

Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases…

cloudflare/skills · 76 tokens

ship-web-games

Package, deploy, and verify a playable Three.js or web game. Use for release builds, asset delivery, private/public deployment, production smoke tests, browser proof, release notes, rollback readiness, and cleanup of temporary QA resources.

MengTo/Skills · 50 tokens

hyperpod-version-checker

Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia), Python, and PyTorch. Use when checking component versions, verifying CUDA/driver compatibility, detecting version mismatches…

awslabs/agent-plugins · 120 tokens