design-ai-feature

design-ai-feature is a command for Claude Code from Productfculty-aipm/PM-Copilot-by-Product-Faculty. It costs 28 tokens per session (2,502 once invoked), scanned A, original, no licence file.

A design command for planning an AI-powered feature from start to finish, including choosing a model, structuring prompts, testing output quality, anticipating failures, estimating costs, and planning improvements.

In plain words
What is it for?
Use it to choose an AI model, design prompts, create an evaluation framework, document failure modes, model costs, and plan iterative improvements.
Why use it?
It helps expose quality, reliability, and cost risks before an AI feature is built.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the pm-copilot plugin — 65 skills, 17 commands, 8 agents, 5 MCP servers shipped together

Good fit Use it to choose an AI model, design prompts, create an evaluation framework, document failure modes, model costs, and plan iterative improvements.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/productfculty-aipm/pm-copilot-by-product-faculty/design-ai-feature
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.

Clone the repo
git clone --depth 1 https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty

Made for: Claude Code.

Or install pm-copilot, the plugin that ships this one along with the rest of its 65 skills, 17 commands, 8 agents, 5 MCP servers.

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 design-ai-feature

README.md
[![agentmods](https://agentmods.dev/badge/commands/productfculty-aipm/pm-copilot-by-product-faculty/design-ai-feature/github.svg)](https://agentmods.dev/commands/productfculty-aipm/pm-copilot-by-product-faculty/design-ai-feature)
Your own site
<a href="https://agentmods.dev/commands/productfculty-aipm/pm-copilot-by-product-faculty/design-ai-feature"><img src="https://agentmods.dev/badge/commands/productfculty-aipm/pm-copilot-by-product-faculty/design-ai-feature/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 design-ai-feature

Your own site · 80×15
<a href="https://agentmods.dev/commands/productfculty-aipm/pm-copilot-by-product-faculty/design-ai-feature"><img src="https://agentmods.dev/badge/commands/productfculty-aipm/pm-copilot-by-product-faculty/design-ai-feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,502 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 unknown 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 $0.00028 $0.02502
Opus 5 $0.00014 $0.01251
Sonnet 5 $0.00006 $0.00500
Haiku 4.5 $0.00003 $0.00250

Measured 11d ago against content hash c9dfbb63a9b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

design-ai-feature 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 11d 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.

commands/design-ai-feature.md · 246 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 11d ago First seen · 246 lines · 28 tokens per session scan A c9dfbb63a9b8

Subscribe to this mod's changes

design-ai-feature is a command published in the GitHub repository Productfculty-aipm/PM-Copilot-by-Product-Faculty (77 stars, last pushed 4mo ago), with no licence file. It adds 28 tokens to every session and 2,502 once invoked, about $0.0001 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 2026-08-30.