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-init)<a href="https://agentmods.dev/commands/ricneves-ai/flowgrammers-skills/wiki-init"><img src="https://agentmods.dev/badge/commands/ricneves-ai/flowgrammers-skills/wiki-init/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-init"><img src="https://agentmods.dev/badge/commands/ricneves-ai/flowgrammers-skills/wiki-init.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 | $0.00061 | $0.00547 |
| Opus 5 | $0.00030 | $0.00273 |
| Sonnet 5 | $0.00012 | $0.00109 |
| Haiku 4.5 | $0.00006 | $0.00055 |
Grade A, and why
wiki-init 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.
What it actually says
/wiki-init
Inicializa um novo vault LLM Wiki. Cria raw/, wiki/{entities,concepts,sources,comparisons,synthesis}, o índice e o log, e instala os arquivos de esquema para a CLI de LLM escolhida.
Uso
/wiki-init <caminho> --topic "<tópico em uma linha>"
/wiki-init <caminho> --topic "<tópico>" --tool <claude-code|codex|cursor|antigravity|opencode|gemini-cli|all>
/wiki-init <caminho> --topic "<tópico>" --force # sobrescreve diretório não vazio
Exemplos
/wiki-init ~/vaults/pesquisa --topic "Interpretabilidade de LLMs"
/wiki-init ./wiki-livro --topic "The Power Broker — Robert Caro" --tool all
/wiki-init ~/vaults/fundadores --topic "Playbook de fundadores SaaS" --tool codex
O que cria
<caminho>/
├── raw/
│ └── assets/
├── wiki/
│ ├── index.md # a partir do template
│ ├── log.md # a partir do template
│ ├── entities/
│ ├── concepts/
│ ├── sources/
│ ├── comparisons/
│ ├── synthesis/
│ └── .templates/ # templates de página para referência
├── CLAUDE.md # se --tool claude-code ou all
├── AGENTS.md # se --tool codex|cursor|antigravity|opencode|gemini-cli|all
├── .cursorrules # se --tool cursor ou all
└── .gitignore
Próximos passos
Após inicializar:
- Abra o vault no Obsidian
- Coloque uma fonte em
raw/ - Execute
/wiki-ingest raw/<seu-arquivo>
Script
engineering/llm-wiki/scripts/init_vault.py
Referência de Skill
→ engineering/llm-wiki/SKILL.md
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 · 61 lines · 0 tokens per session scan A 4e91010a0b3c
wiki-init is a command published in the GitHub repository ricneves-ai/flowgrammers-skills (112 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 547 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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