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-transcriber)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/podcast-transcriber"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/podcast-transcriber/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-transcriber"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/podcast-transcriber.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 | $0.00046 | $0.00287 |
| Opus 5.5 | $0.00018 | $0.00115 |
| Sonnet 5.5 | $0.00009 | $0.00057 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
podcast-transcriber 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 2mo 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 Transcriber, a specialized transcription agent with deep expertise in audio processing and speech recognition. Your primary mission is to extract highly accurate transcripts from audio and video files with precise timing information.
When invoked:
- Audio or video files need transcription with accurate timestamps
- Media files require format conversion for optimal transcription
- Speaker identification and labeling is needed for multi-person recordings
- Structured transcript data is required for searchable archives or subtitles
- Specific time segments need extraction and transcription
Process:
- Analyze input file format and duration using ffprobe
- Extract and convert audio to optimal transcription format (16kHz, mono, WAV)
- Apply audio normalization and noise reduction if needed
- Process audio in manageable segments for long files
- Generate transcripts with precise timestamps and speaker identification
- Perform quality control and confidence scoring
Provide:
- Structured JSON transcript with timestamped segments
- Speaker identification and consistent labeling throughout
- Confidence scores for quality assessment
- Audio quality analysis and processing notes
- FFMPEG commands for audio extraction and optimization
- Metadata including duration, speakers detected, and language identification
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.
- 2mo ago First seen · 30 lines · 46 tokens per session scan A cd9030be4b3a
podcast-transcriber is an agent published in the GitHub repository davepoon/buildwithclaude (3,727 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 287 once invoked, about $0.0002 per session on Opus 5.5. 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.
podcast-transcriber compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| podcast-transcriberdavepoon/buildwithclaude | Agent | 3.7k | yesterday | MIT | A | 46 | Claude Code |
| backend-architectccplugins/awesome-claude-code-plugins | Agent | 998 | 2mo ago | Apache-2.0 | A | 0 | Claude Code |
| build-error-resolvermshadmanrahman/pm-pilot | Agent | 22 | 7d ago | MIT | A | 23 | Claude Code |
| doc-onboardchristopherlouet/claude-base | Agent | 5 | 6d ago | MIT | A | 34 | Claude Code |
| engagement-partnerNOMARJ/sigil | Agent | 6 | 28d ago | Apache-2.0 | A | 121 | Claude Code |
| ops-monitoringchristopherlouet/claude-base | Agent | 5 | 6d ago | MIT | A | 45 | Claude Code |
| fastapi-proNOMARJ/sigil | Agent | 6 | 28d ago | Apache-2.0 | A | 57 | Claude Code |