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 Pika-Labs/Pika-Plugins --skill podcastgit clone --depth 1 https://github.com/Pika-Labs/Pika-PluginsWrote 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/pika-labs/pika-plugins/podcast)<a href="https://agentmods.dev/skills/pika-labs/pika-plugins/podcast"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/podcast/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/pika-labs/pika-plugins/podcast"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/podcast.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 243 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Excessive Agency · line 86 Skill grants unrestricted tool access without appropriate constraints. An agent with unfettered tool access can perform arbitrary actions including file modification, network requests, and code execution.Fix: Restrict tool access to only the tools required for the skill's stated purpose. Use an explicit allowlist rather than granting blanket access.
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 | $0.00142 | $0.07787 |
| Opus 5 | $0.00071 | $0.03893 |
| Sonnet 5 | $0.00028 | $0.01557 |
| Haiku 4.5 | $0.00014 | $0.00779 |
Grade A, and why
podcast 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.
How it starts
The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/pika:podcast
4 acts × 15s each = 60s. Host A always LEFT, Host B always RIGHT. Accepts a URL or a free-form topic / brief.
Parameters
| Param | Default | Notes |
|---|---|---|
input |
required | URL to review or free-form topic / brief (e.g. "I and Elon Musk talk about Mars") |
bg_img |
auto-generated | Podcast studio background |
host_a_img |
auto-generated | Host A portrait — see Real-person handling below |
host_b_img |
auto-generated | Host B portrait — see Real-person handling below |
voice_a |
876341503281471517 |
Kling preset or cloned voice ID for Host A |
voice_b |
829837252279803904 |
Kling preset or cloned voice ID for Host B |
aspect_ratio |
16:9 |
Output aspect ratio |
Cost transparency gate
Before any paid MCP call, call identity_balance({verbose: true}) once. Surface the current balance, recent burn rate, and remaining runway, then gate the run with this exact message:
Estimated cost: about 6,000-9,000 credits (~$60-$90) for four Kling v3-omni pro 15s acts, optional missing-asset image generation, one act corrective retry, concat, and post-flight analyze_media QA. This exceeds $5, so Reply
proceedto continue orcancelto stop.
Do not call any paid MCP tool until the user replies proceed. If the user replies cancel, stop without generating. This is the only yes/no gate; after proceed, render the four acts and return the URL.
Defaults — fire fast, no mid-flow confirmation
- Use the param-table defaults silently for voices.
voice_adefaults to the Kling preset876341503281471517andvoice_bto829837252279803904. Do not ask "which voice?" before firing — only honor explicit overrides (voice_a=,voice_b=). - Auto-generate any missing host portraits silently (Step 1's archetype prompts). Do not ask "should I generate a host image?" — just generate.
- Only the cost transparency gate asks for
proceed. Afterproceed, submit → render the 4 acts → return URL. Account credit balance + provider failover are the canonical guardrails. The--yesflag is accepted as a no-op for backward compatibility. - Topic-mode personas (Step 3) — when the user names a real public figure, follow Step 4 (Real-person handling) silently: archetype portrait by default, no auto-generated photographic likeness, no question to the user about likeness rights.
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 · 338 lines · 142 tokens per session scan A 3b8df7df1a23
podcast is a skill published in the GitHub repository Pika-Labs/Pika-Plugins (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 142 tokens to every session and 7,787 once invoked, about $0.0007 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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