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.
git 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/commands/ricneves-ai/flowgrammers-skills/wiki-ingest)<a href="https://agentmods.dev/commands/ricneves-ai/flowgrammers-skills/wiki-ingest"><img src="https://agentmods.dev/badge/commands/ricneves-ai/flowgrammers-skills/wiki-ingest/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/commands/ricneves-ai/flowgrammers-skills/wiki-ingest"><img src="https://agentmods.dev/badge/commands/ricneves-ai/flowgrammers-skills/wiki-ingest.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 | $0.00063 | $0.00652 |
| Opus 5 | $0.00032 | $0.00326 |
| Sonnet 5 | $0.00013 | $0.00130 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
wiki-ingest 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/wiki-ingest
Ingere uma nova fonte no LLM Wiki. Este é o comando mais utilizado.
O fluxo: lê a fonte → discute o TL;DR e as principais afirmações com você → escreve uma página de resumo da fonte → atualiza todas as páginas de entidades e conceitos relevantes → sinaliza contradições → atualiza index.md → adiciona entrada ao log.md.
Uma ingestão típica toca 5 a 15 páginas do wiki. Você (o usuário) participa do processo: o ingestor propõe alterações e aguarda sua confirmação antes de escrever.
Uso
/wiki-ingest <caminho>
/wiki-ingest raw/papers/monosemanticity.pdf
/wiki-ingest raw/articles/2026-04-01-post-interpretabilidade.md
O que acontece
- Preparo — executa
scripts/ingest_source.pypara obter título, prévia e caminho sugerido para o resumo - Leitura — lê a fonte diretamente
- Discussão — reporta TL;DR, principais afirmações, quais páginas serão tocadas, possíveis contradições
- Confirmação — aguarda seu aval (ou redirecionamento)
- Escrita — cria o resumo da fonte, atualiza 5 a 15 páginas, sinaliza contradições
- Índice — executa
scripts/update_index.pyou editawiki/index.mddiretamente - Log — executa
scripts/append_log.py --op ingest --title "<título>" - Relatório — lista com wikilinks de todas as páginas tocadas
Sub-agente
Este comando despacha o sub-agente wiki-ingestor para o trabalho pesado. Veja agents/wiki-ingestor.md.
Scripts
engineering/llm-wiki/scripts/ingest_source.py— preparação da fonte (metadados + prévia)engineering/llm-wiki/scripts/update_index.py— regenera o índiceengineering/llm-wiki/scripts/append_log.py— registra a ingestão no log
Regras
- A fonte deve estar dentro da camada
raw/do vault. Se não estiver, o comando pedirá que você a mova primeiro. raw/é imutável — o ingestor apenas lê.- Se uma página de resumo já existir, o ingestor entra em modo mesclagem e acrescenta uma seção de re-ingestão.
Referência de Skill
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 · 53 lines · 0 tokens per session scan A a8980866f8c0
wiki-ingest is a command published in the GitHub repository ricneves-ai/flowgrammers-skills (112 stars, last pushed 3mo ago), licensed MIT. It adds 63 tokens to every session and 652 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 2026-09-03.
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