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 skills add Varnan-Tech/opendirectory --skill podcast-transcript-fetchergit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/skills/varnan-tech/opendirectory/podcast-transcript-fetcher)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/podcast-transcript-fetcher"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/podcast-transcript-fetcher.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00104 | $0.02070 |
| Opus 5 | $0.00052 | $0.01035 |
| Sonnet 5 | $0.00021 | $0.00414 |
| Haiku 4.5 | $0.00010 | $0.00207 |
Grade A, and why
podcast-transcript-fetcher 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.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Podcast Transcript Fetcher
Fetch transcripts from 5 supported podcasts. Tier 2 (RSS+Groq Whisper) is the recommended approach -- fast, free, and the most reliable across all podcasts. Tier 1 free sources are best-effort (limited availability). Tier 3 Taddy API is the premium/commercial option.
Quick Reference
# Get latest episode transcript (auto-detects best method)
python scripts/get_transcript.py "Lenny's Podcast" --latest
# Search by episode title or number
python scripts/get_transcript.py 20vc --episode "Marc Andreessen"
python scripts/get_transcript.py dwarkesh --episode 15
# Force specific method
python scripts/get_transcript.py "cheeky pint" --latest --method whisper
python scripts/get_transcript.py a16z --latest --method taddy
# Save to file
python scripts/get_transcript.py lennys --latest --output transcript.md
# List all supported podcasts
python scripts/get_transcript.py --list-podcasts
Supported Podcasts
| Podcast | Tier 1 (best-effort) | Tier 2 RSS+Whisper [RECOMMENDED] | Tier 3 Taddy (premium) |
|---|---|---|---|
| Lenny's Podcast | GitHub archive (269 transcripts) | ✅ Substack RSS | ✅ Covered |
| Dwarkesh Podcast | Website scrape + Substack PDF | ✅ Substack RSS | ✅ Covered |
| Cheeky Pint | (none) | ✅ Transistor.fm RSS | ✅ Covered |
| 20VC | Substack PDF | ✅ Libsyn RSS | ✅ Covered |
| A16z Podcast | Website scrape | ✅ Simplecast RSS | ✅ Covered |
Implementation
1. Install Dependencies
# Core (always required)
pip install requests
# Cloud transcription (recommended — fast, free tier)
pip install groq
export GROQ_API_KEY="your-key" # Get at https://console.groq.com
# Local transcription (free, needs ~5GB RAM)
pip install faster-whisper
# Audio compression (for Groq's 25 MB limit — Windows: winget/scoop)
# winget install ffmpeg or scoop install ffmpeg
# Taddy API (commercial, optional)
export TADDY_API_KEY="your-key" # Get at https://taddy.org
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 194 lines · 104 tokens per session scan A 52d483921bee
podcast-transcript-fetcher is a skill published in the GitHub repository Varnan-Tech/opendirectory (635 stars, last pushed 22d ago), licensed MIT. It adds 104 tokens to every session and 2,070 once invoked, about $0.0005 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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