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 ricneves-ai/flowgrammers-skills --skill promotegit clone --depth 1 https://github.com/ricneves-ai/flowgrammers-skillsWrote 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/ricneves-ai/flowgrammers-skills/promote)<a href="https://agentmods.dev/skills/ricneves-ai/flowgrammers-skills/promote"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/promote/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/ricneves-ai/flowgrammers-skills/promote"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/promote.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 | $0.00035 | $0.01346 |
| Opus 5.5 | $0.00014 | $0.00538 |
| Sonnet 5.5 | $0.00007 | $0.00269 |
| Haiku 4.5 | $0.00003 | $0.00135 |
Grade A, and why
promote scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/si:promote — Graduar Aprendizados para Regras
Move um padrão comprovado da auto-memória do Claude para o sistema de regras do projeto, onde se torna uma instrução aplicada em vez de uma nota de contexto.
Uso
/si:promote <descrição do padrão> # Detectar automaticamente o melhor alvo
/si:promote <padrão> --target claude.md # Promover para CLAUDE.md
/si:promote <padrão> --target rules/testing.md # Promover para regra escopada
/si:promote <padrão> --target rules/api.md --paths "src/api/**/*.ts" # Escopado com caminhos
Fluxo de Trabalho
Passo 1: Entender o padrão
Analisar a descrição do usuário. Se for vaga, fazer uma pergunta de esclarecimento:
- "Qual comportamento específico o Claude deve seguir?"
- "Isso se aplica a todos os arquivos ou a caminhos específicos?"
Passo 2: Encontrar o padrão na auto-memória
# Pesquisar MEMORY.md por entradas relacionadas
MEMORY_DIR="$HOME/.claude/projects/$(pwd | sed 's|/|%2F|g; s|%2F|/|; s|^/||')/memory"
grep -ni "<palavras-chave>" "$MEMORY_DIR/MEMORY.md"
Mostrar as entradas correspondentes e confirmar que são o que o usuário quer dizer.
Passo 3: Determinar o alvo correto
| Escopo do padrão | Alvo | Exemplo |
|---|---|---|
| Aplica-se ao projeto inteiro | ./CLAUDE.md |
"Use pnpm, não npm" |
| Aplica-se a tipos de arquivo específicos | .claude/rules/<tópico>.md |
"Handlers de API precisam de validação" |
| Aplica-se a todos os seus projetos | ~/.claude/CLAUDE.md |
"Prefira tratamento de erro explícito" |
Se o usuário não especificou um alvo, recomendar um com base no escopo.
Passo 4: Destilar em uma regra concisa
Transformar o aprendizado do formato de nota do MEMORY.md para o formato de instrução do CLAUDE.md:
Antes (MEMORY.md — descritivo):
O projeto usa workspaces pnpm. Quando tentei npm install falhou. O arquivo de lock é pnpm-lock.yaml. Devo usar pnpm install para dependências.
Depois (CLAUDE.md — prescritivo):
## Build & Dependências
- Gerenciador de pacotes: pnpm (não npm). Use `pnpm install`.
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.
- 1mo ago First seen · 147 lines · 35 tokens per session scan A 5f2bbb08ee55
promote is a skill published in the GitHub repository ricneves-ai/flowgrammers-skills (117 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 1,346 once invoked, about $0.0001 per session on Opus 5.5. 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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