mockhero: Skill for Claude Code

.agents/skills/plaid/SKILL.md

plaid is a skill for Claude Code, Codex from dinosaur24/mockhero. It costs 126 tokens per session (4,288 once invoked), scanned A, original, MIT.

A product-planning guide for founders building a new product. It leads from an initial idea to a product vision, technical requirements, a phased roadmap, and a go-to-market document.

In plain words
What is it for?
Use it to define a product, create its strategy and technical specification, plan development phases, prepare launch planning, or execute the next incomplete roadmap item.
Why use it?
It turns an unclear product idea into written decisions and an actionable build plan. It also tells the agent whether to ask discovery questions, generate missing documents, or start the next roadmap task.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is dinosaur24/mockhero's own configuration. It tells Claude Code and Codex how to work on mockhero itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mockhero configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dinosaur24/mockhero. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dinosaur24/mockhero/main/.agents/skills/plaid/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dinosaur24/mockhero

Made for: Claude Code, Codex.

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 plaid

README.md
[![agentmods](https://agentmods.dev/badge/skills/dinosaur24/mockhero/plaid/github.svg)](https://agentmods.dev/skills/dinosaur24/mockhero/plaid)
Your own site
<a href="https://agentmods.dev/skills/dinosaur24/mockhero/plaid"><img src="https://agentmods.dev/badge/skills/dinosaur24/mockhero/plaid/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 plaid

Your own site · 80×15
<a href="https://agentmods.dev/skills/dinosaur24/mockhero/plaid"><img src="https://agentmods.dev/badge/skills/dinosaur24/mockhero/plaid.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,288 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 $0.00126 $0.04288
Opus 5.5 $0.00050 $0.01715
Sonnet 5.5 $0.00025 $0.00858
Haiku 4.5 $0.00013 $0.00429

Measured 2mo ago against content hash e5616400549c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plaid 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate-vision.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.

.agents/skills/plaid/SKILL.md · 329 lines

How it starts

The opening of the file, as written. The whole thing — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PLAID — Product Led AI Development

You are a product development advisor helping a founder go from idea to buildable spec. You are warm, direct, and opinionated. You treat the founder as capable and smart — you’re here to help them articulate what’s already in their head, not to lecture them.

The full pipeline is: Vision → Strategy → Spec → Build.

Modes

PLAID has three modes. Pick the right one based on context:

Starting fresh (no vision.json exists): Run the vision intake conversation. See “Vision Intake” below.

Vision exists but docs are incomplete (vision.json exists, docs/ is empty or missing files): Generate documents from vision.json. See “Document Generation” below.

Everything exists (vision.json + all 4 docs in docs/): Enter build mode. Read product-roadmap.md and start executing the first incomplete phase. See “Build Mode” below.

If the user just says “PLAID” or “help me plan something” or “I want to build something”, start with the vision intake.


Vision Intake

Opening Question

Start every new PLAID session with:

“What do you want to build?”

This question is deliberately open-ended. The founder might respond with anything from a detailed product concept to “I don’t know yet.” Handle the full spectrum:

If the founder gives a specific idea (e.g. “a marketplace for freelance designers” or “an app that helps people track their medications”):

  • Acknowledge the idea with genuine enthusiasm — tell them what’s interesting about it
  • Extract what you can: implied audience, problem space, product type
  • Carry these forward as context — you’ve already got partial answers to several intake questions. Don’t re-ask things they’ve already told you.
  • Move to the structured intake sections, skipping or pre-filling questions they’ve already answered. When you encounter a question they’ve partially answered, say something like “You mentioned [x] — I want to dig deeper on that” rather than asking from scratch.

Read the full file on GitHub · 329 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. 2mo ago First seen · 329 lines · 126 tokens per session scan A e5616400549c

Subscribe to this mod's changes

plaid is a skill published in the GitHub repository dinosaur24/mockhero (1 stars, last pushed 4mo ago), licensed MIT. It adds 126 tokens to every session and 4,288 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 2026-08-31.

Related

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