Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/llamadrive/bengo-toolkitnpx agentmods add commands/llamadrive/bengo-toolkit/family-treeWrote 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/llamadrive/bengo-toolkit/family-tree)<a href="https://agentmods.dev/commands/llamadrive/bengo-toolkit/family-tree"><img src="https://agentmods.dev/badge/commands/llamadrive/bengo-toolkit/family-tree.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00428 |
| Opus 5 | $0.00014 | $0.00214 |
| Sonnet 5 | $0.00006 | $0.00086 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
family-tree 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 8d 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
戸籍謄本のPDF文書から人物と関係性を抽出し、裁判所標準形式（相続関係説明図）を
自己完結 HTML（ダブルクリックで開け、⌘P で PDF 化できる単一ファイル）として生成する。
MCP Apps 対応環境（Claude Desktop, Cursor 等）では併せてインライン描画も行う。
監査ログは現在の案件フォルダの ./.claude-bengo/audit.jsonl に記録される。
./.claude-bengo/ がまだ無ければ、実行時に現在のフォルダへ自動作成される。
$ARGUMENTS: 戸籍謄本PDFのパス（任意。なければ対話で確認）。
Step 0: 動作環境ガード
Bash: python3 skills/_lib/workspace.py check --require local_fs
- exit 0 → 次の Step へ進む
- exit 2 → stdout の日本語メッセージをそのままユーザーへ表示して停止
- exit 1 → stderr の error JSON をユーザーに伝えて停止
Step 1
まず skills/family-tree/SKILL.md を Read ツールで読み込み、そこに記載された手順に従って実行する。
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.
- 8d ago First seen · 27 lines · 28 tokens per session scan A d3c2fe352cec
family-tree is a command published in the GitHub repository llamadrive/bengo-toolkit (6 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 428 once invoked, about $0.0001 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 commands, from other repositories
audit-export
Exportar audit trail en JSON/CSV/PDF para auditorías externas. ISO 42001 & NIST AI RMF compliant.
sign
Sign a PDF — stamp a signature block (name + date, or a PNG signature) on a signed copy.
pipeline-minutar-pdf
Pipeline completo de sentença judicial a partir de PDF (conversão, linha-tempo, relatório, análise, fundamentação, merge).
baixar-inteligente
Pipeline inteligente - baixa processo especifico com selecao por LLM.
baixar-pje
Baixa processos do PJE (apenas PDF).
finalize
A final submission workflow that protects a client's edits, creates a signed PDF, and prepares a filing package for the 02hearings location.