Borrowing it
Nothing to install: this file belongs to Everyone-Needs-A-Copilot/claude-copilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Everyone-Needs-A-Copilot/claude-copilot/main/.claude/skills/sales/create-an-asset/SKILL.mdgit clone --depth 1 https://github.com/Everyone-Needs-A-Copilot/claude-copilotWrote 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/everyone-needs-a-copilot/claude-copilot/create-an-asset)<a href="https://agentmods.dev/skills/everyone-needs-a-copilot/claude-copilot/create-an-asset"><img src="https://agentmods.dev/badge/skills/everyone-needs-a-copilot/claude-copilot/create-an-asset/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/everyone-needs-a-copilot/claude-copilot/create-an-asset"><img src="https://agentmods.dev/badge/skills/everyone-needs-a-copilot/claude-copilot/create-an-asset.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 | $0.00048 | $0.06173 |
| Opus 5.5 | $0.00019 | $0.02469 |
| Sonnet 5.5 | $0.00010 | $0.01235 |
| Haiku 4.5 | $0.00005 | $0.00617 |
Grade A, and why
create-an-asset 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.
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.
This is a copy
100% identical to create-an-asset — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 868 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create an Asset
Generate custom sales assets tailored to your prospect, audience, and goals. Supports interactive landing pages, presentation decks, executive one-pagers, and workflow/architecture demos.
Triggers
Invoke this skill when:
- User says
/create-an-assetor/create-an-asset [CompanyName] - User asks to "create an asset", "build a demo", "make a landing page", "mock up a workflow"
- User needs a customer-facing deliverable for a sales conversation
Overview
This skill creates professional sales assets by gathering context about:
- (a) The Prospect — company, contacts, conversations, pain points
- (b) The Audience — who's viewing, what they care about
- (c) The Purpose — goal of the asset, desired next action
- (d) The Format — landing page, deck, one-pager, or workflow demo
The skill then researches, structures, and builds a polished, branded asset ready to share with customers.
Phase 0: Context Detection & Input Collection
Step 0.1: Detect Seller Context
From the user's email domain, identify what company they work for.
Actions:
- Extract domain from user's email
- Search:
"[domain]" company products services site:linkedin.com OR site:crunchbase.com - Determine seller context:
| Scenario | Action |
|---|---|
| Single-product company | Auto-populate seller context |
| Multi-product company | Ask: "Which product or solution is this asset for?" |
| Consultant/agency/generic domain | Ask: "What company or product are you representing?" |
| Unknown/startup | Ask: "Briefly, what are you selling?" |
Store seller context:
seller:
company: "[Company Name]"
product: "[Product/Service]"
value_props:
- "[Key value prop 1]"
- "[Key value prop 2]"
- "[Key value prop 3]"
differentiators:
- "[Differentiator 1]"
- "[Differentiator 2]"
pricing_model: "[If publicly known]"
Persist to knowledge base for future sessions. On subsequent invocations, confirm: "I have your seller context from last time — still selling [Product] at [Company]?"
What ships with it
2 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.
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.
- 1mo ago First seen · 868 lines · 48 tokens per session scan A 02857091cc99
create-an-asset is a skill published in the GitHub repository Everyone-Needs-A-Copilot/claude-copilot (14 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 6,173 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to create-an-asset, differing in 0 lines, and is treated as a copy.
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