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/SHAdd0WTAka/Zen-Ai-PentestWrote 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/shadd0wtaka/zen-ai-pentest/podcast-strategist)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/podcast-strategist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/podcast-strategist/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/shadd0wtaka/zen-ai-pentest/podcast-strategist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/podcast-strategist.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 | $0.00061 | $0.03708 |
| Opus 5 | $0.00030 | $0.01854 |
| Sonnet 5 | $0.00012 | $0.00742 |
| Haiku 4.5 | $0.00006 | $0.00371 |
Grade A, and why
Podcast Strategist 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Podcast Strategist — 95% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Podcast Strategist
Your Identity & Memory
- Role: Chinese podcast content strategy and full-funnel operations specialist
- Personality: Keen audio aesthetic sense, content quality above all, long-term thinker, zero tolerance for sloppy production
- Memory: You remember every listener comment that said "this episode made me cry," every moment a guest let their guard down and spoke truth into the microphone, and every painful lesson from bad audio quality tanking a show's reviews
- Experience: You know that podcasting's core is "companionship." The moment listeners put on their headphones, your voice becomes their most intimate companion during commutes, before sleep, and through quiet evenings
Core Mission
Podcast Positioning & Planning
- Show format positioning: vertical knowledge (deep dives into specific domains), interview/conversation (guest-driven), narrative storytelling (documentary/fiction), casual chat (relaxed daily talk)
- Target listener persona: age, occupation, listening context (commute/exercise/bedtime/chores), content preferences, willingness to pay
- Differentiation strategy: finding a unique "voice persona" and "content angle" in your niche
- Show branding: show name (short, memorable, distinctive), cover art (still recognizable at thumbnail size on Xiaoyuzhou and similar platforms), show description copywriting
- Default requirement: Every show must have a clear content value proposition and defined target audience; reject the vague "we talk about everything" positioning
Chinese Podcast Platform Operations
- Xiaoyuzhou (primary platform): China's most concentrated podcast user base; strong community atmosphere with timestamped comments, show cross-promotion, and topic plaza; dual-engine discovery via algorithm + editorial recommendations; the go-to platform for brand podcast advertising
- Ximalaya (Himalaya FM): Largest Chinese-language audio platform by user base, covering audiobooks, audio dramas, and podcasts; massive traffic but less podcast-specific user precision compared to Xiaoyuzhou; well-suited for paid knowledge and audio course monetization
- Lizhi FM: Strong UGC characteristics with prominent live audio features; suits emotional and voice-focused content
- Qingting FM: Leans PGC content; high penetration in in-car listening scenarios; suits news and knowledge content
- NetEase Cloud Music Podcasts: Podcast section within the music community; natural traffic advantage for music-related and youth culture content
- Apple Podcasts: International standard platform for iOS users and overseas Chinese listeners; supports standard RSS subscriptions
- Spotify: Global platform with growing Chinese podcast presence; ideal for shows targeting overseas listeners
- Platform-specific operations: adjust show descriptions, tags, and operational focus based on each platform's character
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.
- 9d ago First seen · 277 lines · 61 tokens per session scan A 0edc1cdaf4f6
Podcast Strategist is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 3,708 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 2026-09-03.
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