template-create

A command that turns an Excel spreadsheet (XLSX) into a reusable template definition in YAML, identifying cells that should receive input. It can save the definition for one case, all cases on the computer, or a shared office folder.

In plain words
What is it for?
Use it to create and register templates from XLSX files, optionally comparing an empty spreadsheet with a completed sample to detect changes.
Why use it?
It removes the need to manually describe spreadsheet fields and create template files. It also keeps the template and a copy of the spreadsheet together in the selected location.

Command

Install

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.

agentmods
npx agentmods add commands/llamadrive/bengo-toolkit/template-create
Clone the repo
git clone --depth 1 https://github.com/llamadrive/bengo-toolkit
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 595 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00016 $0.00595
Opus 5 $0.00008 $0.00298
Sonnet 5 $0.00003 $0.00119
Haiku 4.5 $0.00002 $0.00060

Measured 2d ago against content hash d66d4943b53a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

template-create 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 2d 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.

commands/template-create.md · 33 lines

What it actually says

XLSXファイルのセル構造を分析し、入力フィールドを特定してテンプレート定義(YAML)を作成する。 作成した定義とXLSXのコピーは、選んだ保存場所に保存される:

  • 「この案件のみ」(--scope case、既定): 現在の案件フォルダの ./.claude-bengo/templates/ に保存
  • 「事務所共有」(--scope firm): /template-firm-setup で設定したクラウド同期フォルダ(Google Drive / Dropbox / OneDrive 等)に保存
  • 「この PC の全案件で共通」(--scope user): ~/.claude-bengo/templates/ に保存

$ARGUMENTS: XLSXファイルのパス(任意。なければ対話で確認)。

フラグ(直接指定する場合。通常はスキルが質問するので不要):

  • --scope case — 「この案件のみ」(既定)。この案件フォルダの中にだけ保存される。
  • --scope firm — 「事務所共有」(要 /template-firm-setup)。個人情報が含まれていると保存を拒否する。
  • --scope user — 「この PC の全案件で共通」。個人情報が含まれていると保存を拒否する。
  • --sample <path> — 記入済みサンプル XLSX を指定(差分検出モード。推奨)。

Step 0: 動作環境ガード

Bash: python3 skills/_lib/workspace.py check --require local_fs --require xlsx_mcp
  • 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/template-create/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。

Changes

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.

  1. 2d ago First seen · 33 lines · 16 tokens per session scan A d66d4943b53a

Subscribe to this mod's changes

template-create is a command published in the GitHub repository llamadrive/bengo-toolkit (5 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 595 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.