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 skills/modem-dev/podguy/podguy-clip-cutternpx skills add modem-dev/podguy --skill podguy-clip-cuttergit clone --depth 1 https://github.com/modem-dev/podguyWrote 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/modem-dev/podguy/podguy-clip-cutter)<a href="https://agentmods.dev/skills/modem-dev/podguy/podguy-clip-cutter"><img src="https://agentmods.dev/badge/skills/modem-dev/podguy/podguy-clip-cutter.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.01102 |
| Opus 5 | $0.00028 | $0.00551 |
| Sonnet 5 | $0.00011 | $0.00220 |
| Haiku 4.5 | $0.00006 | $0.00110 |
Grade A, and why
podguy-clip-cutter 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 4d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
podguy Clip Cutter
Use this skill when the user asks to cut, export, render, or prepare short-form/social clips from a podcast or video podcast.
This skill complements podguy-post-production:
- pi does editorial judgment and chooses candidate moments
scripts/cut_clips.pydoes deterministic ffmpeg cutting- generated media stays under gitignored
dist/analysis/
Sample media
When a real video-podcast fixture is useful, run:
scripts/download_sample_media.sh
This downloads a local excerpt from Cordkillers 572 under dist/test-fixtures/open-license/cordkillers-572/ with attribution. The default 00:08:00-00:11:50 excerpt includes a three-person podcast layout, lower thirds, chat/sidebar graphics, a Patreon bumper, and an outro/interstitial card.
Inputs to gather
Identify:
- Source media path: original recording, draft export, or preview export.
- Episode slug: e.g.
ep006. - Clip candidate file:
- default:
dist/analysis/<slug>/clips.md - also supported:
.txt,.csv, or.jsonwith start/end ranges
- default:
- Output intent:
- review cuts in original aspect
- vertical Shorts/TikTok/Reels exports
- square or horizontal variants
If the user has not selected clip candidates yet, run the normal clip workflow first and write dist/analysis/<slug>/clips.md.
Clip candidate format
The cutter accepts ranges in Markdown/plain text, CSV, or JSON.
Markdown example:
## Why this market flipped
- 00:12:14 - 00:13:08 — Strong contrarian claim with a clean payoff.
CSV example:
title,start,end
Why this market flipped,00:12:14,00:13:08
JSON example:
{
"clips": [{ "title": "Why this market flipped", "start": "00:12:14", "end": "00:13:08" }]
}
Commands
Original-aspect review cuts:
uv run python scripts/cut_clips.py \
<input-media> \
dist/analysis/<slug>/clips.md \
dist/analysis/<slug>/clips/cuts
Vertical review exports for TikTok/Reels/YouTube Shorts:
uv run python scripts/cut_clips.py \
<input-media> \
dist/analysis/<slug>/clips.md \
dist/analysis/<slug>/clips/shorts \
--aspect vertical \
--pad-start 1 \
--pad-end 1
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.
- 4d ago First seen · 139 lines · 55 tokens per session scan A e29c0b48aa24
podguy-clip-cutter is a skill published in the GitHub repository modem-dev/podguy (47 stars, last pushed 18d ago), licensed MIT. It adds 55 tokens to every session and 1,102 once invoked, about $0.0003 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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