building-interactive-prototypes

building-interactive-prototypes is a skill for Claude Code from richfrem/agent-plugins-skills. It costs 113 tokens per session (779 once invoked), scanned A, original, MIT.

A guided workflow for turning an approved discovery plan into a clickable working prototype. It presents layout choices, builds the prototype component by component, and reviews each part with an expert.

In plain words
What is it for?
Use it to build an interactive prototype from an approved plan, review each component for alignment and quality, and record walkthrough notes for the engineering handoff.
Why use it?
It prevents implementation from starting before the plan is approved and provides checkpoints instead of producing an unreviewed prototype all at once.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is python3 ../running-exploration-cycle/scripts/validate_phase_gate.py 2.

Part of the agent-exploration-cycle plugin — 5 skills, 4 agents shipped together

Good fit Use it to build an interactive prototype from an approved plan, review each component for alignment and quality, and record walkthrough notes for the engineering handoff.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/richfrem/agent-plugins-skills
agentmods
npx agentmods add skills/richfrem/agent-plugins-skills/building-interactive-prototypes

Made for: Claude Code.

Or install agent-exploration-cycle, the plugin that ships this one along with the rest of its 5 skills, 4 agents.

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 building-interactive-prototypes

README.md
[![agentmods](https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/building-interactive-prototypes/github.svg)](https://agentmods.dev/skills/richfrem/agent-plugins-skills/building-interactive-prototypes)
Your own site
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/building-interactive-prototypes"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/building-interactive-prototypes/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 building-interactive-prototypes

Your own site · 80×15
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/building-interactive-prototypes"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/building-interactive-prototypes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 779 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.
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 $0.00113 $0.00779
Opus 5.5 $0.00045 $0.00312
Sonnet 5.5 $0.00023 $0.00156
Haiku 4.5 $0.00011 $0.00078

Measured 2d ago against content hash c17d665fe143, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

building-interactive-prototypes 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.

plugins/agent-exploration-cycle/.apm/skills/building-interactive-prototypes/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building Interactive Prototypes

Phases 2 and 3: prototyping-chain.mmd.

Contents

Constraints

  • Gate: build nothing until exploration/discovery-plans/ holds an approved plan (PLAN_STATUS: APPROVED or ## SME Approval). Existence of a file is not approval.
  • Offer three distinct layout options in plain language before any code; brownfield sessions with established patterns may skip ([~]).
  • Build 3 to 6 components, one at a time; advance only when a component is COMPLETE (other states: BLOCKED, NEEDS_CONTEXT). Review each for plan alignment, then quality.
  • Work in an isolated workspace using the os-control-worktree skill; with the expert say "isolated workspace" and "validation check", never git or TDD terms (language table).
  • Write only the raw walkthrough-notes.md; structured notes come from capturing-business-requirements.
  • Pick runtime and model through the cli-agent skill; never name models.

Quick start

ls exploration/discovery-plans/ && ls exploration/captures/layout-direction.md
python3 ../running-exploration-cycle/scripts/validate_phase_gate.py 2

Workflow

  1. Gate check, then layout options and confirmation into exploration/captures/layout-direction.md (or document-structure.md).
  2. Decompose, build and review each component into exploration/prototype/; assemble index.html and a README.md.
  3. Walk the expert through each main flow; record exploration/captures/walkthrough-notes.md.
  4. Hand over for observation extraction and the business-rule audit; report PHASE 3 COMPLETE.

Verification

python3 ../running-exploration-cycle/scripts/validate_phase_gate.py 3

Acceptance criteria: acceptance-criteria.md.

References

Read the full file on GitHub · 56 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 · 56 lines · 113 tokens per session scan A c17d665fe143

Subscribe to this mod's changes

building-interactive-prototypes is a skill published in the GitHub repository richfrem/agent-plugins-skills (7 stars, last pushed yesterday), licensed MIT. It adds 113 tokens to every session and 779 once invoked, about $0.0005 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 2026-10-24.

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