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 gethouston/houston --skill vigiar-meus-concorrentesgit clone --depth 1 https://github.com/gethouston/houstonWrote 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/gethouston/houston/vigiar-meus-concorrentes)<a href="https://agentmods.dev/skills/gethouston/houston/vigiar-meus-concorrentes"><img src="https://agentmods.dev/badge/skills/gethouston/houston/vigiar-meus-concorrentes/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/gethouston/houston/vigiar-meus-concorrentes"><img src="https://agentmods.dev/badge/skills/gethouston/houston/vigiar-meus-concorrentes.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 | $0.00077 | $0.02345 |
| Opus 5 | $0.00039 | $0.01172 |
| Sonnet 5 | $0.00015 | $0.00469 |
| Haiku 4.5 | $0.00008 | $0.00234 |
Grade A, and why
vigiar-meus-concorrentes 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vigiar meus concorrentes
Uma skill, três fontes de sinal. O parâmetro source escolhe a sonda. Julgamento fundamentado no posicionamento + regra de "nunca inventar citações" compartilhados entre todas.
Parâmetro: source
product- blog + notas de versão + página inicial / preços via Firecrawl; análise profunda de um único concorrente OU resumo semanal de N concorrentes.ads- Meta Ad Library + LinkedIn Ad Library + Google Ads Transparency Center via scraping pelo Composio; extraio ângulos, ganchos, públicos, o que apareceu de novo nesta semana.social-feed- timeline / subreddit / menções filtradas por relevância temática + oportunidade de engajamento (LinkedIn / X / Reddit / Instagram).
Você nomeia a fonte em linguagem simples ("análise de concorrente", "que anúncios a Ramp está rodando", "escaneie minha timeline do X") -> eu infiro. Ambíguo -> faço UMA pergunta nomeando 3 opções.
Quando usar
- Explícito: "pulso semanal dos concorrentes", "análise profunda de {X}", "que anúncios {Y} está rodando", "escaneie minha timeline", "sinal no Reddit em {subreddit}", "menções no IG".
- Implícito: depois de
plan-a-campaign(paid / launch) quando o posicionamento dos concorrentes afeta os ângulos; antes dewrite-a-postchannel=reddit para levantar as threads exatas que valem uma resposta.
Conexões que eu preciso
Executo trabalho externo através do Composio. Antes de esta skill rodar, verifico se as categorias abaixo estão conectadas. Faltando -> nomeio a categoria, peço para você conectá-la na aba Integrações, paro.
- Web scrape (Firecrawl) - opcional para
product. Se não estiver conectado, recorro a uma busca HTTP básica no blog / changelog / preços / página inicial do concorrente, mais rudimentar mas funcional em páginas estáticas. - Bibliotecas de anúncios (Meta Ads, LinkedIn Ads, Google Ads) - puxam os criativos de anúncios ativos dos concorrentes. Obrigatório para
ads- sem alternativa útil, as bibliotecas controlam o acesso. - Plataformas sociais (LinkedIn, X, Reddit, Instagram) - leem sua timeline ou o subreddit indicado. Obrigatório para
social-feed, escolha a plataforma onde você realmente vive - sem alternativa, o acesso exige OAuth.
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 · 92 lines · 77 tokens per session scan A e0e75fe111a6
vigiar-meus-concorrentes is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 2,345 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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