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 remembergit 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/remember)<a href="https://agentmods.dev/skills/ricneves-ai/flowgrammers-skills/remember"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/remember/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/remember"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/remember.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 | $0.00030 | $0.00914 |
| Opus 5 | $0.00015 | $0.00457 |
| Sonnet 5 | $0.00006 | $0.00183 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
remember 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/si:remember — Salvar Conhecimento Explicitamente
Escreve uma entrada explícita na auto-memória quando algo é importante o suficiente para não querer depender do Claude percebendo automaticamente.
Uso
/si:remember <o que lembrar>
/si:remember "O CI deste projeto requer Node 20 LTS — v22 quebra o build"
/si:remember "O endpoint /api/auth usa uma biblioteca JWT personalizada, não passport"
/si:remember "Reza prefere tratamento de erro explícito a padrões try-catch genéricos"
Quando Usar
| Situação | Exemplo |
|---|---|
| Insight de debugging difícil de obter | "Erros CORS em /api/upload são causados pelo CDN, não pelo backend" |
| Convenção do projeto não presente no CLAUDE.md | "Usamos barrel exports em src/components/" |
| Gotcha específico de ferramenta | "Jest precisa do flag --forceExit ou fica travado em testes de DB" |
| Decisão de arquitetura | "Escolhemos Drizzle em vez de Prisma por SQL type-safe" |
| Preferência que você quer que o Claude aprenda | "Não adicione comentários explicando código óbvio" |
Fluxo de Trabalho
Passo 1: Analisar o conhecimento
Extrair da entrada do usuário:
- O quê: O fato ou padrão concreto
- Por que importa: Contexto (se fornecido)
- Escopo: Específico do projeto ou global?
Passo 2: Verificar duplicatas
MEMORY_DIR="$HOME/.claude/projects/$(pwd | sed 's|/|%2F|g; s|%2F|/|; s|^/||')/memory"
grep -ni "<palavras-chave>" "$MEMORY_DIR/MEMORY.md" 2>/dev/null
Se existir uma entrada semelhante:
- Mostrar ao usuário
- Perguntar: "Atualizar a entrada existente ou adicionar uma nova?"
Passo 3: Escrever no MEMORY.md
Acrescentar ao final do MEMORY.md:
- {{fato ou padrão conciso}}
Mantenha as entradas concisas — uma linha quando possível. Entradas de auto-memória não precisam de timestamps, IDs ou metadados. São notas, não registros de banco de dados.
Se o MEMORY.md tiver mais de 180 linhas, avisar o usuário:
MEMORY.md está com {{n}}/200 linhas. Considere executar /si:review para liberar espaço.
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 · 101 lines · 30 tokens per session scan A 45c66f1478af
remember is a skill published in the GitHub repository ricneves-ai/flowgrammers-skills (112 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 914 once invoked, about $0.0002 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.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.