me-colocar-em-podcasts

me-colocar-em-podcasts is a skill for Claude Code, Codex from gethouston/houston. It costs 81 tokens per session (1,539 once invoked), scanned A, original, MIT.

A podcast outreach tool that finds shows listened to by your ideal customers and drafts a tailored pitch for each one. It checks whether the shows are active and bases each pitch on a real episode.

In plain words
What is it for?
Use it to shortlist podcasts by audience fit and prepare monthly guest-pitch emails. You send the messages yourself from your own inbox.
Why use it?
It removes the work of searching for relevant programs and writing separate, specific emails. Using an actual episode gives each draft a concrete reason for contacting the host.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to shortlist podcasts by audience fit and prepare monthly guest-pitch emails. You send the messages yourself from your own inbox.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gethouston/houston/me-colocar-em-podcasts
Install

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.

Any agent
npx skills add gethouston/houston --skill me-colocar-em-podcasts
Clone the repo
git clone --depth 1 https://github.com/gethouston/houston

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for me-colocar-em-podcasts

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/gethouston/houston/me-colocar-em-podcasts"><img src="https://agentmods.dev/badge/skills/gethouston/houston/me-colocar-em-podcasts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,539 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.01539
Opus 5 $0.00041 $0.00770
Sonnet 5 $0.00016 $0.00308
Haiku 4.5 $0.00008 $0.00154

Measured 9d ago against content hash 7fc0d08c1dd3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

me-colocar-em-podcasts 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.

store/agents-i18n/pt/marketing/.agents/skills/me-colocar-em-podcasts/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Me Colocar em Podcasts

Quando usar

  • Usuário: "me coloca em podcasts" / "prospecção de podcasts" / "encontrar programas para nosso cliente ideal" / "redigir pitches para {N} programas".
  • Cadência mensal é natural, pode virar rotina.

Conexões que preciso

Eu executo trabalho externo através do Composio. Antes desta skill rodar, verifico se as categorias abaixo estão conectadas. Se faltar, eu nomeio a categoria, peço para você conectar na aba Integrações e paro.

  • Diretório de podcasts (Listen Notes) - descobrir programas por afinidade de público. Obrigatório.
  • Caixa de entrada (Gmail, Outlook) - captar a sua voz para os e-mails de pitch. Opcional, mas os rascunhos ficam sem graça sem isso.
  • X / Twitter - opcional, puxar contexto do apresentador para deixar o gancho mais específico.

Se nenhum diretório de podcasts estiver conectado, eu paro e peço para você conectar o Listen Notes na aba Integrações.

Informações que preciso

Eu leio primeiro o seu contexto de marketing. Para cada campo obrigatório que estiver faltando, eu faço UMA pergunta em linguagem simples (melhor modalidade: app conectado > upload de arquivo > URL > colar) e espero.

  • Seu posicionamento - Obrigatório. Por que preciso: o ângulo e a afinidade de público partem do posicionamento. Se estiver faltando, eu pergunto: "Quer que eu redija seu posicionamento primeiro? É uma skill, leva uns cinco minutos."
  • Sua voz - Obrigatório para os e-mails de pitch. Se estiver faltando, eu pergunto: "Conecte sua caixa de enviados para eu captar sua voz, ou cole dois ou três e-mails que você já enviou."
  • O ângulo e o público-alvo - Obrigatório. Por que preciso: define quais programas eu vou pré-selecionar. Se estiver faltando, eu pergunto: "Qual ângulo você quer usar no pitch, e para qual público, fundadores, operadores, investidores, compradores técnicos?"
  • Programas para excluir - Opcional. Se estiver faltando, eu pergunto: "Algum programa que você já contatou ou quer pular? Se não tiver uma lista, eu sigo sem exclusões."

Read the full file on GitHub · 96 lines

Changes

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.

  1. 9d ago First seen · 96 lines · 81 tokens per session scan A 7fc0d08c1dd3

Subscribe to this mod's changes

me-colocar-em-podcasts is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 1,539 once invoked, about $0.0004 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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