ce-prototype

ce-prototype is a skill for Claude Code from EveryInc/compound-engineering-plugin. It costs 69 tokens per session (1,649 once invoked), scanned A, original, MIT.

A temporary working version of a product or feature used to answer how it should work, feel, or read before final implementation.

In plain words
What is it for?
Testing user flows, behavior, states, layouts, visual marks, and other product decisions that need to be experienced rather than discussed.
Why use it?
It helps settle important design questions early, when changing direction is cheaper than reworking a committed solution.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions Codex; $skill-name invocation.

Part of the compound-engineering plugin — 37 skills, 1 command shipped together

Good fit Testing user flows, behavior, states, layouts, visual marks, and other product decisions that need to be experienced rather than discussed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/everyinc/compound-engineering-plugin/ce-prototype
About the project

Compound Engineering is a plugin that organizes software work into brainstorming, planning, implementation, review, and recording lessons for future changes. It is used with AI coding agents including Claude Code, Cursor, and Codex, and the catalogue entries provide parts of its agent, skill, command, and hook workflow.

EveryInc/compound-engineering-plugin · 25,727 stars · on GitHub · every.to

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.

Any agent
npx skills add EveryInc/compound-engineering-plugin --skill ce-prototype
Clone the repo
git clone --depth 1 https://github.com/EveryInc/compound-engineering-plugin

Made for: Claude Code.

Or install compound-engineering, the plugin that ships this one along with the rest of its 37 skills, 1 command.

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 ce-prototype

README.md
[![agentmods](https://agentmods.dev/badge/skills/everyinc/compound-engineering-plugin/ce-prototype/github.svg)](https://agentmods.dev/skills/everyinc/compound-engineering-plugin/ce-prototype)
Your own site
<a href="https://agentmods.dev/skills/everyinc/compound-engineering-plugin/ce-prototype"><img src="https://agentmods.dev/badge/skills/everyinc/compound-engineering-plugin/ce-prototype/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.

agentmods 80×15 button for ce-prototype

Your own site · 80×15
<a href="https://agentmods.dev/skills/everyinc/compound-engineering-plugin/ce-prototype"><img src="https://agentmods.dev/badge/skills/everyinc/compound-engineering-plugin/ce-prototype.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,649 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
  • Socket pass 19 Sept 2026
  • Snyk warn 19 Sept 2026
How audits are shown
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 5.1 $0.00069 $0.01649
Opus 5.5 $0.00028 $0.00660
Sonnet 5.5 $0.00014 $0.00330
Haiku 4.5 $0.00007 $0.00165

Measured 1mo ago against content hash de1b34ef13df, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ce-prototype 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 1mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (assets/annotate.js, scripts/light-webserver.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/ce-prototype/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prototype

Build a throwaway prototype at the fidelity that can answer this question, before committing an approach later work will treat as given. Then apply the decisions or hand off.

Do not fake the dimension being tested. Modality, fidelity, and medium all follow from that one rule. A question about how a flow or state model behaves is settled by driving it, so a screen that only looks like the product does not answer it. A question about how a layout or a mark reads is settled by seeing it at real finish, so a thin sketch does not answer it either. The user's own perception settles the question, never your judgment of the artifact.

Result: the user decided how the product should work or feel against a prototype that did not fake what they were deciding. Next consumer: an existing markdown Product Contract, or ce-brainstorm / ce-plan with this session as the seed. Done: the user settled the questions that needed an artifact, or they apply and continue into brainstorm or plan. Their choice is the settlement, not a direction you inferred. Not: a decision a cheap sketch settles, polish, or shipping the prototype as a final product.

If there is no person to experience the prototype — mode:pipeline, a headless run, or a calling skill that reports no human is present — stop. Do not start a preview or invent how it should feel. Return that this skill needs a human. A calling skill that has a human present (an interactive lfg run, for example) is an ordinary attended run.

User-runnable invocation rendering. The attended re-run in that refusal and the next-skill recommendation when the user applies print invocation syntax. Default to /ce-prototype, /ce-brainstorm, and /ce-plan; use $ce-prototype, $ce-brainstorm, and $ce-plan only on Codex or a host that documents dollar-prefixed skill invocation. Render only the invocation as inline code; output one form only.

Scope the question

Read references/scoping.md before you ask the user anything or touch the repo. That read is not optional. It defines how the question arrives and the scoped repo read of what the question touches — do not scan the tree. It also defines narrow vs wide, sizing, the go-ahead message, and how the remaining questions change after each decision. Do not build until authorized. A request that already is to prototype a named thing is that authorization after scoping.

Read the full file on GitHub · 60 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. 1mo ago Changed de1b34ef13df
  2. 1mo ago Changed c8cc567bf03b
  3. 1mo ago Changed 5b8b4e867cf7
  4. 1mo ago Changed · +2 lines ea32d6ffc498
  5. 1mo ago First seen · 58 lines · 69 tokens per session scan A 33f4f842ea7b

Subscribe to this mod's changes

ce-prototype is a skill published in the GitHub repository EveryInc/compound-engineering-plugin (25,727 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 1,649 once invoked, about $0.0003 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

senior-data-engineer

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, Flink, Kinesis, and modern data stack. Includes data modeling, pipeline orchestration, data quality, streaming quality…

benchflow-ai/skillsbench · 100 tokens

deck-blueprint

A presentation design template for explaining architecture and process pipelines on a cream-colored, blueprint-style background.

nexu-io/html-anything · 27 tokens

prism-component

Implement a reusable, accessible, typed component from a design spec. Use when asked to "create a component", "build a widget", "implement this design", or "reusable UI element".

tonone-ai/tonone · 43 tokens

prism-ui

Implement a complete UI screen or feature from a Form visual spec. Use when asked to "build a page", "implement this screen", "build the frontend for this feature", or "create this UI".

tonone-ai/tonone · 45 tokens

spine-design

Produce a system design doc — components, data flow, decisions made, tradeoffs, failure modes. Not a list of options. An actual design with calls made. Use when asked for "system design for", "architect this", "how should we build", or "design the backend".

tonone-ai/tonone · 62 tokens

prism-dashboard

Build an internal dashboard with data tables, filters, detail views, and CRUD. Use when asked to build an "admin panel", "internal dashboard", "back office", or "data dashboard UI".

tonone-ai/tonone · 44 tokens