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 ur-grue/autopunk-media-skills --skill episode-concept-generatorgit clone --depth 1 https://github.com/ur-grue/autopunk-media-skillsWrote 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/ur-grue/autopunk-media-skills/episode-concept-generator)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/episode-concept-generator"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/episode-concept-generator/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/ur-grue/autopunk-media-skills/episode-concept-generator"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/episode-concept-generator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00044 | $0.01872 |
| Opus 5 | $0.00022 | $0.00936 |
| Sonnet 5 | $0.00009 | $0.00374 |
| Haiku 4.5 | $0.00004 | $0.00187 |
Grade A, and why
episode-concept-generator 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Episode Concept Generator
What This Skill Does
Generates 6–8 fully developed episode concepts aligned to a podcast's format, theme, and audience — each with a title, premise, guest or source approach, and core listener question.
When To Use This Skill
- You are planning a new content batch and need episode ideas that fit your show's established format
- You have run out of obvious angles on your core topic and need fresh conceptual territory
- You are launching a new podcast and need to populate your first content calendar
- You want to see which unexplored corners of your subject area could generate strong episodes
What You Need To Provide
Required: Podcast name and topic focus; target audience; episode format (interview, solo, narrative, roundtable, hybrid); approximate episode length Optional: 3–5 recent episodes you have already done (so the assistant can avoid repeating them); any themes or angles you want to explore but haven't found the right angle for; whether you want seasonal/thematic concepts or standalone episodes; guest-based or topic-based preference
How the Assistant Approaches This
- Maps the topic space of the podcast — the full range of subjects, perspectives, and audience questions that are relevant but not necessarily obvious
- Identifies under-explored angles: the contrarian take, the practitioner perspective, the historical origin story, the failure case, the audience question that goes unasked in most episodes on this topic
- Generates concepts across different episode types: the debate episode, the deep-dive explainer, the personal story, the expert interview, the myth-busting episode, and the "what no one talks about" episode
- For each concept, specifies the core listener question (what the audience will have answered by the end), the ideal guest or source profile, and one hook sentence for a show notes description
- Closes with a "Next Step" recommendation: which concept to book first based on guest accessibility, and whether to run guest-research-brief or interview-question-builder as the immediate next skill
What ships with it
1 file 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 · 121 lines · 44 tokens per session scan A 6d49364683b4
episode-concept-generator is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 44 tokens to every session and 1,872 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 2026-09-04.
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