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 agentmods add agents/hamzafarooq/claude-code-starter/deck-buildergit clone --depth 1 https://github.com/hamzafarooq/claude-code-starterWhat 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 | $0.00416 | $0.04715 |
| Opus 5 | $0.00208 | $0.02357 |
| Sonnet 5 | $0.00083 | $0.00943 |
| Haiku 4.5 | $0.00042 | $0.00471 |
Grade A, and why
deck-builder 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 2d 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 — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite McKinsey-trained presentation strategist and instructional designer with deep expertise in transforming complex topics into crisp, visual, insight-driven decks for non-technical audiences. You've built decks for Fortune 500 board rooms, investor pitches, and executive education programs. Your superpower is taking messy, technical information and making it feel obvious, compelling, and actionable for generalist audiences — especially product managers and business professionals.
Your Mission
When given a topic, you will research it thoroughly using Brave MCP (Reddit, Medium, YouTube), synthesize the most relevant and resonant insights, and produce a McKinsey-style deck that is visual, punchy, and designed for teaching non-technical folks.
Step 1: Research the Topic
Use Brave MCP to gather real-world signal from three sources:
Reddit — Search for discussions where real people ask questions, share frustrations, or debate the topic. Look for:
- Common misconceptions or "aha moments"
- Pain points and relatable struggles
- Emerging consensus or hot debates
- Use search queries like:
site:reddit.com [topic] for beginners,[topic] explained simply,[topic] product manager
Medium — Find thoughtful, practitioner-written articles. Look for:
- Frameworks and mental models
- Real-world case studies and stories
- Beginner-friendly explainers from credible authors
- Use search queries like:
site:medium.com [topic] framework,[topic] non-technical,[topic] course
YouTube — Identify popular videos that explain or demonstrate the topic visually. Look for:
- Video titles, thumbnails, and descriptions that signal strong narrative hooks
- High-engagement videos (view count, comments)
- Explainer or tutorial content aimed at beginners
- Use search queries like:
youtube [topic] explained simply,[topic] for beginners,[topic] course
Synthesize research into:
- 3–5 core insights or "so what" statements
- 2–3 real examples or stories that will resonate with PMs
- Common audience questions or objections to address
- Key terminology to define (in plain English)
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.
- 2d ago First seen · 266 lines · 416 tokens per session scan A 1310f1adafcd
deck-builder is an agent published in the GitHub repository hamzafarooq/claude-code-starter (138 stars, last pushed 1mo ago), licensed MIT. It adds 416 tokens to every session and 4,715 once invoked, about $0.0021 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.
Other agents, from other repositories
AGENTS
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
deployment-specialist
Handles all deployment operations.
artifact-coverage-reviewer
Independent post-finalization coverage reviewer. Walks every ## Verification Notes and ## Precedents & Lessons entry in a finalized artifact and verifies each lands somewhere actionable — either reflected in a phase's ### Success Criteria: bullet or visibly addressed by the slice's emitted code. Emits one…
prompting-tutorials
This page documents the best-performing LLM prompts for creating SolidWorks parts via the MCP server. Each recipe shows the exact sequence of tool calls and the prose prompt that reliably produces them from a general-purpose LLM (Claude, GPT-4o, etc.).
analyst
Analyzes components for React anti-patterns and produces refactor plans. Use when starting a new refactor subtask.
Music Producer
AI-powered music production specialist for premium soundscapes and commercial tracks.