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 tatagoncalvesof/imperatriz-toolkit --skill analise-anuncio-1000git clone --depth 1 https://github.com/tatagoncalvesof/imperatriz-toolkitWrote 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/tatagoncalvesof/imperatriz-toolkit/analise-anuncio-1000)<a href="https://agentmods.dev/skills/tatagoncalvesof/imperatriz-toolkit/analise-anuncio-1000"><img src="https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/analise-anuncio-1000/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/tatagoncalvesof/imperatriz-toolkit/analise-anuncio-1000"><img src="https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/analise-anuncio-1000.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 | $0.00156 | $0.02612 |
| Opus 5 | $0.00078 | $0.01306 |
| Sonnet 5 | $0.00031 | $0.00522 |
| Haiku 4.5 | $0.00016 | $0.00261 |
Grade A, and why
analise-anuncio-1000 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.
How it starts
The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analise Nota 1000 de Anuncios — Metodologia Tata
Este skill entrega analise de elite de qualquer peca de copy (anuncio Instagram, VSL, script de reels, email, copy de pagina de vendas). Nao e analise macro superficial — e desmontagem granular em 17 camadas, palavra por palavra, decodificando a estrategia por tras de CADA escolha.
Quando usar
- Usuario manda transcricao/script de anuncio pra analise
- Usuario pede "analise esse anuncio", "desmonta essa copy", "o que esta por tras disso"
- Usuario quer aprender a copiar padroes de anuncios ganhadores
- Usuario quer auditar copy propria pra identificar gaps
Principio fundamental
Analise nota 1000 nao e elogio — e dissecacao cientifica. Inclui:
- Pontos fortes E pontos fracos
- Palavra por palavra (nao so estrutura macro)
- Subtexto, omissoes, inconsistencias estrategicas
- Benchmarking com o nicho
- Templates reutilizaveis no final
Processo — 17 Camadas
CAMADA 1 — Contexto estrategico
Identifique:
- Avatar detalhado: genero, idade, profissao, estagio de negocio, dor principal, medo central, desejo secreto
- Nivel de consciencia (Schwartz): 1 (inconsciente) → 2 (ciente do problema) → 3 (ciente da solucao) → 4 (ciente do produto) → 5 (mais consciente, pronto pra comprar)
- Sofisticacao de mercado (Schwartz): 1-5, onde 4-5 exige mecanismo unico
- Framework base: qual metodologia esta sendo usada (Epiphany Bridge, PAS, AIDA, Common Enemy, New Mechanism, etc.)
CAMADA 2 — Arquitetura narrativa (mapear os atos)
Divida o texto em atos com funcao neurocientifica:
ATO 1 HOOK → dopamina (curiosity gap)
ATO 2 PROMESSA → expectativa
ATO 3 INIMIGO → cortisol/raiva
ATO 4 AGITACAO → aversao a perda (amigdala)
ATO 5 MECANISMO → esperanca
ATO 6 PROVA → neuronios-espelho
ATO 7 ORIGEM → oxitocina (confianca)
ATO 8 OFERTA + CTA → adrenalina (acao)
CAMADA 3 — Desmontagem palavra por palavra
Para CADA frase importante, crie uma tabela:
| Palavra/Expressao | Funcao estrategica |
|---|
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.
- 12d ago First seen · 253 lines · 156 tokens per session scan A e5147243215e
analise-anuncio-1000 is a skill published in the GitHub repository tatagoncalvesof/imperatriz-toolkit (2 stars, last pushed 3mo ago), licensed MIT. It adds 156 tokens to every session and 2,612 once invoked, about $0.0008 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.
Other skills, from other repositories
codex-setup
Initialize sd0x-dev-flow infrastructure for Codex CLI and other non-Claude agents. Generates AGENTS.md, installs the commit-msg hook, copies runner scripts. The pre-push gate is opt-in via --with-push-gate. Use when setting up a new project or after updating skills.
smart-rebase
Smart partial rebase for squash-merge repositories. Auto-detect which commits to keep/drop when base branch was squash-merged into target. Use when: user says 'rebase', 'partial rebase', 'base already merged', 'smart rebase', or /smart-rebase. Not for: simple git rebase (the developer runs it — Claude never executes…
test-review
Test coverage review via Codex exec. Use when: reviewing test sufficiency, identifying coverage gaps, test quality audit. Not for: generating tests (use codex-test-gen), code review (use codex-code-review). Output: coverage analysis + gap report.
debug
Interactive debugging workflow with hypothesis-driven probe loop. Use when: unknown bugs, script errors, silent failures, troubleshooting. Not for: known bugs (use bug-fix), GitHub issue analysis (use issue-analyze), code understanding (use code-explore). Output: debug report with probe journal + root cause + fix.
runbook
Generate and update feature release runbooks from existing docs and codebase. Use when: creating operational runbook, release handbook, deployment checklist, pre-release preparation. Not for: incident response (v2), code review (use codex-code-review), architecture design (use architecture).
feature-dev
Feature development workflow. Use when: implementing features, writing code, running dev loop. Not for: understanding code (use code-explore), reviewing code (use codex-code-review). Output: implemented feature + tests + review gate.