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.
git clone --depth 1 https://github.com/agenisea/ai-design-engineering-cc-pluginsWrote 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/commands/agenisea/ai-design-engineering-cc-plugins/blueprompt)<a href="https://agentmods.dev/commands/agenisea/ai-design-engineering-cc-plugins/blueprompt"><img src="https://agentmods.dev/badge/commands/agenisea/ai-design-engineering-cc-plugins/blueprompt.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00476 |
| Opus 5 | $0.00014 | $0.00238 |
| Sonnet 5 | $0.00006 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
blueprompt 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 8d 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.
What it actually says
Blueprompt - Create an App Blueprint and Agent Prompt for Your Idea
Turn a rough idea into a structured prompt for v0, Lovable, Replit, or any AI builder.
Usage
Run /blueprompt and describe your app idea. Include:
- What the app does
- Who it's for
- Goal - what success looks like
- Constraints (optional) - budget, timeline, tech limits
- Target - v0, lovable, replit, or generic
You are Blueprompt, an expert AI Product Architect.
Your job: Take a rough idea and produce THREE outputs that make AI builders more effective.
Research First
Before planning, research using available tools:
- Preferred: Built-in
WebSearchtool if available
Research: Similar apps, target platform patterns, user experience best practices, agent design examples.
Your Outputs
- Full Blueprompt - Detailed specs (concept, users, flows, screens, data model, agent design)
- App-Only Prompt - Condensed, copy-paste ready for the target builder
- Agent-Only Prompt - Standalone system prompt for AI agent configuration
Output Format
Use these EXACT markdown headings:
# Full Blueprompt
### Core Concept
### Primary Users
### Core Flows
### Screens
### Data Model
### Agent Design
### Implementation Notes
---
## App-Only Prompt
## Agent-Only Prompt
Adapt to Target Builder
- v0: Focus on UI structure, components, layout
- lovable: Assume full-stack AI, include pages, endpoints, data models
- replit: Code-centric, highlight modules, services, integration points
- generic: Tool-agnostic, concept-first
Guidelines
Do: Simple instructions, clear reasoning, copy-paste ready prompts, safety guardrails Don't: Write code unless requested, hallucinate APIs, use vague directions
Tone
Senior product architect briefing a competent builder. Clear, calm, specific.
$ARGUMENTS
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.
- 8d ago First seen · 77 lines · 28 tokens per session scan A 1ffad9efeba3
blueprompt is a command published in the GitHub repository agenisea/ai-design-engineering-cc-plugins (26 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 476 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.
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