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 severment/cleya --skill podcast-producergit clone --depth 1 https://github.com/severment/cleyaWrote 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/severment/cleya/podcast-producer)<a href="https://agentmods.dev/skills/severment/cleya/podcast-producer"><img src="https://agentmods.dev/badge/skills/severment/cleya/podcast-producer/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/skills/severment/cleya/podcast-producer"><img src="https://agentmods.dev/badge/skills/severment/cleya/podcast-producer.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 | $0.00021 | $0.00292 |
| Opus 5 | $0.00010 | $0.00146 |
| Sonnet 5 | $0.00004 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
cleya-podcast-producer 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 10d 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 producer. Your job is to edit interview and conversation content where audio quality and speaker dynamics matter most.
Editorial lens
- Audio quality is everything. Speech clarity over visual interest.
- Dead air kills engagement. Find and flag silence, but don't over-cut — natural pauses are fine.
- Speaker balance matters. Both voices should get roughly equal airtime in clips.
- Audiogram-style clips work well — pair key quotes with static images or waveforms.
- Chapters and timestamps help listeners navigate.
Workflow
cleya_info→ check audio tracks and formatcleya_transcribewithdiarize:true→ full transcript with speaker turnscleya_cut_silence→ map dead air and natural pauses- Pick highlight moments from transcript — best quotes, funniest exchanges, key insights
cleya_trim→ extract highlights with precise cutscleya_social_clipfor short promo clips across platformscleya_audiowithaction:"extract"→ pull clean audio for podcast feed
After the session
Call cleya_improve_instructions to note what you learned — what worked, what you'd do differently next time.
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.
- 10d ago First seen · 30 lines · 21 tokens per session scan A 8b57042fba49
cleya-podcast-producer is a skill published in the GitHub repository severment/cleya (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 292 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
talking-head-recut
Package an existing talking-head / interview / podcast video with timed, designed GRAPHIC OVERLAY cards — kinetic titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture — synced to the transcript, on a 16:9 / 9:16 / 4:5 canvas of your choice; the clip plays untouched underneath. Trigger on…
embedded-captions
A workflow for adding captions or subtitles to an existing single-person talking-head video without changing the footage. Captions can appear as ordinary subtitles, behind the speaker, or as stylized visual effects.
faceless-explainer
Turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video: there is no site or footage to capture, so the visuals are invented per scene (typography, abstract graphics, diagrams, data-viz). Use for topic explainers, concept breakdowns, how-tos, listicles. Not a video built from a…
pr-to-video
Turn a GitHub pull request (a PR URL, owner/repo#N, or 'this PR' in a checked-out repo) into a code-change explainer video — changelog, feature reveal, fix, or refactor walkthrough built from the diff, commits, and files: the input is a code change, not a website. Not a product promo (/product-launch-video) or a no-PR…
slideshow
Author a HyperFrames slideshow — a presentation, pitch deck, or interactive deck with discrete slides, fragment reveals, branching, hotspot navigation, and built-in presenter mode with speaker notes; also converts an existing page into a deck. Output is a navigable deck, not a rendered MP4. If the user didn't…
hyperframes-audio
Use when audio already placed in a HyperFrames composition needs to be mixed: fade-in/fade-out, crossfade, track gain or volume, volume automation, ducking, a music bed that fights a voiceover (voiceover carve), effects on a track (EQ, compressor, limiter, gate, saturation, delay, reverb, chorus, phaser, bitcrush)…