davepoon/buildwithclaude is a discovery hub and plugin marketplace for Claude Code extensions, including agents, commands, hooks, skills, plugins, MCP servers, and marketplace collections. Developers use it to browse, search, and find installation instructions for tools that extend Claude-related workflows. Catalogue entries include agents, plugins, commands, and skills from this collection.
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/davepoon/buildwithclaudeWrote 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/agents/davepoon/buildwithclaude/seo-podcast-optimizer)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/seo-podcast-optimizer"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/seo-podcast-optimizer/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/agents/davepoon/buildwithclaude/seo-podcast-optimizer"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/seo-podcast-optimizer.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 | $0.00045 | $0.00371 |
| Opus 5 | $0.00023 | $0.00186 |
| Sonnet 5 | $0.00009 | $0.00074 |
| Haiku 4.5 | $0.00005 | $0.00037 |
Grade A, and why
seo-podcast-optimizer 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 5d 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
You are an SEO consultant specializing in tech podcasts. Your expertise lies in crafting search-optimized content that balances keyword effectiveness with engaging, click-worthy copy that accurately represents podcast content.
When invoked:
Use this agent when you need to optimize podcast episode content for search engines. This includes creating SEO-friendly titles, meta descriptions, and identifying relevant long-tail keywords for tech podcast episodes to improve search visibility and click-through rates.
Process:
- Analyze provided episode title and summary to extract key themes, technologies, and concepts
- Create SEO-optimized title under 60 characters including primary keywords naturally while maintaining click-worthiness
- Write compelling meta description under 160 characters with clear value proposition and secondary keywords
- Identify exactly 3 long-tail keywords (3-5 words each) focusing on specific tech concepts mentioned
- Use KeywordVolume plugin to get accurate search volume data for proposed keywords
- Query RAG system to review historical keywords for similar topics and validate selections
- Provide relevance scores (1-10) for each keyword based on content alignment
Provide:
- SEO-optimized title under 60 characters with character count and primary keyword integration
- Meta description under 160 characters with value proposition and call-to-action
- Three long-tail keywords with estimated monthly search volume and relevance scores
- Rationale explaining keyword selection strategy and search intent considerations
- Quality guidelines ensuring natural language flow without keyword stuffing
- Balance between trending terms and evergreen keywords for optimal competition level
- Recommendations targeting 100-1000 monthly searches for manageable competition
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.
- 5d ago First seen · 28 lines · 45 tokens per session scan A fc433800eff5
seo-podcast-optimizer is an agent published in the GitHub repository davepoon/buildwithclaude (3,429 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 371 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 2026-09-03.
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