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.
npx skills add YoungLeadersDotTech/young-leaders-tech-marketplace --skill product-context-templategit clone --depth 1 https://github.com/YoungLeadersDotTech/young-leaders-tech-marketplaceWrote 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.
[](https://agentmods.dev/skills/youngleadersdottech/young-leaders-tech-marketplace/product-context-template)<a href="https://agentmods.dev/skills/youngleadersdottech/young-leaders-tech-marketplace/product-context-template"><img src="https://agentmods.dev/badge/skills/youngleadersdottech/young-leaders-tech-marketplace/product-context-template/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.
<a href="https://agentmods.dev/skills/youngleadersdottech/young-leaders-tech-marketplace/product-context-template"><img src="https://agentmods.dev/badge/skills/youngleadersdottech/young-leaders-tech-marketplace/product-context-template.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.02865 |
| Opus 5 | $0.00023 | $0.01432 |
| Sonnet 5 | $0.00009 | $0.00573 |
| Haiku 4.5 | $0.00005 | $0.00286 |
Grade A, and why
product-context-template 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Justification: pure template scaffold - emits verbatim template content with no LLM reasoning pass.
Product Context Template
Purpose
This template guides the creation of product context skills - strategic information about product vision, goals, constraints, and positioning that helps Claude understand the "why" behind technical decisions. Replace all [PLACEHOLDER] values with actual product information.
SKILL.md Frontmatter Template
---
name: [product-name]-context
description: Product context for [PRODUCT_NAME] including vision, goals, and constraints when discussing [FEATURE_AREA_1], [FEATURE_AREA_2], or [USE_CASE]. Auto-invoke when user mentions [PRODUCT_NAME], [KEY_FEATURE], or [TARGET_USER_SEGMENT]. Do NOT load for general [DOMAIN] discussions unrelated to [PRODUCT_NAME].
disable-model-invocation: true
allowed-tools: []
version: 1.0.0
category: Product
tags: [[product-name], [domain], product-context, strategy]
product-version: [VERSION_OR_RELEASE]
last-updated: [YYYY-MM-DD]
---
Description Engineering Guidance:
✅ DO include:
- Product name and key features
- Specific feature areas covered
- Target user segments
- Strategic positioning keywords
❌ DON'T use:
- Generic descriptions ("Information about product...")
- No product scope boundaries
- Missing trigger terms users will actually mention
Example Good Description:
Product context for Acme Checkout payment processing covering merchant onboarding, flexible billing, and international support. Auto-invoke when user mentions Acme Checkout, merchant setup, or billing options. Do NOT load for general payment discussions outside Acme Checkout.
Product Context Content Structure
1. Product Vision & Mission
Purpose: Core purpose and long-term aspiration
Product Vision
[ONE_SENTENCE_VISION_STATEMENT]
Example: "Enable every restaurant to offer flexible payment options that increase customer purchasing power while maintaining financial security."
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.
- 12d ago First seen · 314 lines · 46 tokens per session scan A 9961d095968f
product-context-template is a skill published in the GitHub repository YoungLeadersDotTech/young-leaders-tech-marketplace (10 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 2,865 once invoked, about $0.0002 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 2026-08-31.
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