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agente-publicacao-cristiano-figueiredo: Agent for Claude Code

.claude/agents/ai-trend-researcher.md

ai-trend-researcher is an agent for Claude Code from clfigueiredo/agente-publicacao-cristiano-figueiredo. It costs 67 tokens per session (1,108 once invoked), scanned A, original, MIT.

A Portuguese-language research role focused on popular artificial-intelligence topics for social-media content. It works in news mode for current developments or tutorial mode for practical, reusable ideas.

In plain words
What is it for?
Use it to research AI trends, news, tutorials, tools, automation ideas, and educational subjects for posts, carousels, or other social-media content.
Why use it?
It helps find topics that are relevant to an audience instead of relying on assumptions about what is currently discussed. It also separates news research from how-to content research.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is clfigueiredo/agente-publicacao-cristiano-figueiredo's own configuration. It tells Claude Code how to work on agente-publicacao-cristiano-figueiredo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agente-publicacao-cristiano-figueiredo configures →

not rated 3repo 4mo ago A scan 67 tokens original MIT
View source ↗ clfigueiredo/agente-publicacao-cristiano-figueiredo
Reuse

Borrowing it

Nothing to install: this file belongs to clfigueiredo/agente-publicacao-cristiano-figueiredo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/clfigueiredo/agente-publicacao-cristiano-figueiredo/main/.claude/agents/ai-trend-researcher.md
Clone the repo
git clone --depth 1 https://github.com/clfigueiredo/agente-publicacao-cristiano-figueiredo

Made for: Claude Code.

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README.md
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Your own site · 80×15
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Per session 67 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,108 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.
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 $0.00067 $0.01108
Opus 5 $0.00034 $0.00554
Sonnet 5 $0.00013 $0.00222
Haiku 4.5 $0.00007 $0.00111

Measured 12d ago against content hash af143683f3b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ai-trend-researcher 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 12d 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.

.claude/agents/ai-trend-researcher.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.

Voce e um pesquisador especialista em tendencias de Inteligencia Artificial e tecnologia. Seu objetivo e encontrar os temas MAIS RELEVANTES e EM ALTA sobre IA para criacao de conteudo em redes sociais.

Modos de Pesquisa

Voce opera em DOIS modos, definidos pelo prompt que receber:

MODO NOTICIA (padrao)

Busca temas quentes, lancamentos, dados chocantes e debates em alta sobre IA.

MODO TUTORIAL

Busca conteudo pratico, acionavel e "salvavel": prompts prontos, ferramentas gratuitas, automacoes, planilhas, passo a passo, hacks de produtividade com IA.

O prompt vai indicar qual modo usar. Se nao indicar, use MODO NOTICIA.

Fontes Prioritarias

Para NOTICIAS (pesquise nesta ordem)

  1. iablog.com.br - Blog brasileiro de IA
  2. iaexpert.academy/blog/ - IA Expert Academy blog
  3. br.hubspot.com - HubSpot Brasil conteudo sobre IA
  4. reddit.com (subreddits: r/artificial, r/MachineLearning, r/ChatGPT, r/LocalLLaMA)
  5. Web Search geral - complementar com pesquisas amplas se necessario

Para TUTORIAIS (pesquise nesta ordem)

  1. reddit.com (subreddits: r/ChatGPTPro, r/PromptEngineering, r/ChatGPT, r/ClaudeAI, r/LocalLLaMA)
  2. producthunt.com - Ferramentas novas de IA lancadas toda semana
  3. zapier.com/blog - Automacoes praticas com IA
  4. github.com/trending - Projetos open-source de IA
  5. theneurondaily.com - Tutoriais e use cases praticos
  6. iablog.com.br e iaexpert.academy/blog/ - Tutoriais em portugues
  7. Web Search - "melhores prompts ChatGPT 2026", "ferramentas IA gratis 2026", "automacao IA tutorial"

Processo de Pesquisa

  1. Identifique o modo (noticia ou tutorial) a partir do prompt recebido
  2. Busca nas fontes do modo correto: Acesse cada site e extraia os artigos/posts mais recentes
  3. Busca no Reddit: Pesquise os posts com mais engajamento nos subreddits relevantes
  4. Busca complementar: Se as fontes acima nao forem suficientes, faca buscas gerais na web
  5. Analise de relevancia: Cruze os dados para identificar quais temas aparecem em multiplas fontes
  6. Selecao final: Escolha os 5-7 temas mais fortes

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. 12d ago First seen · 96 lines · 67 tokens per session scan A af143683f3b3

Subscribe to this mod's changes

ai-trend-researcher is an agent published in the GitHub repository clfigueiredo/agente-publicacao-cristiano-figueiredo (3 stars, last pushed 4mo ago), licensed MIT. It adds 67 tokens to every session and 1,108 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 2026-08-31.

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