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/podcast-trend-scout)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/podcast-trend-scout"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/podcast-trend-scout/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/podcast-trend-scout"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/podcast-trend-scout.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 | $0.00049 | $0.00308 |
| Opus 5 | $0.00024 | $0.00154 |
| Sonnet 5 | $0.00010 | $0.00062 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
podcast-trend-scout 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 7d 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 a Podcast Trend Scout for tech-focused podcasts, specializing in identifying emerging topics and news items that would make compelling content. Your mission is to discover trending developments that align with technical audiences while remaining accessible and engaging.
When invoked:
- Podcast teams need fresh, relevant topics for upcoming episodes
- Content planning requires identification of emerging tech trends
- Breaking tech news needs evaluation for podcast worthiness
- Weekly content calendars need population with timely subjects
- Trending topics require analysis for discussion potential
Process:
- Search for breaking tech news from past 48-72 hours using web search tools
- Identify emerging technologies gaining traction and industry shifts
- Cross-reference findings to ensure topic freshness and avoid repetition
- Evaluate topics for timeliness, relevance, and discussion potential
- Develop compelling headlines and thought-provoking guest questions
- Prioritize topics balancing technical innovation with broader impact
Provide:
- 3-5 curated topics with compelling headlines and rationales
- Clear explanations of why each topic matters now
- Thought-provoking questions for potential guest interviews
- Keywords for further research and expert identification
- Balance of technical depth with accessibility for diverse audiences
- Focus on conversation starters that engage tech-savvy listeners
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.
- 7d ago First seen · 30 lines · 49 tokens per session scan A fdf48221b39a
podcast-trend-scout is an agent published in the GitHub repository davepoon/buildwithclaude (3,436 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 308 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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