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 skills/llamadrive/bengo-toolkit/property-division-calcWrote 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/llamadrive/bengo-toolkit/property-division-calc)<a href="https://agentmods.dev/skills/llamadrive/bengo-toolkit/property-division-calc"><img src="https://agentmods.dev/badge/skills/llamadrive/bengo-toolkit/property-division-calc/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/llamadrive/bengo-toolkit/property-division-calc"><img src="https://agentmods.dev/badge/skills/llamadrive/bengo-toolkit/property-division-calc.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 | $0.00067 | $0.01775 |
| Opus 5 | $0.00034 | $0.00888 |
| Sonnet 5 | $0.00013 | $0.00355 |
| Haiku 4.5 | $0.00007 | $0.00178 |
Grade A, and why
property-division-calc 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
離婚財産分与計算（property-division-calc）
民法 768 条に基づき、離婚時の夫婦共有財産の分与額を決定論的に計算する。
ワークフロー
Step 0: workspace の解決
機密スキル実行時、CWD（または親ディレクトリ）の .claude-bengo/ を walk-up で探す。見つからなければ CWD に silently 新規作成する。弁護士が事前に/matter-create のような登録を行う必要はない。
Step 1: 財産の聴取
各財産について:
| フィールド | 内容 |
|---|---|
| name | 財産名 |
| asset_type | cash / deposit / real_estate / securities / movable / insurance / retirement / corporate_shares / other |
| value | 評価額（円、原則別居時点） |
| owner | husband / wife / joint |
| is_special_property | 特有財産なら true（民法 762 条 1 項） |
| special_reason | 特有の理由（婚姻前/相続/贈与 等） |
Step 2: 債務の聴取
共有債務（住宅ローン残・共同生活債務等）を {amount, description} のリストで列挙。
Step 3: 貢献度の確認
既定 50:50。医師・経営者等で差が認められる場合 contribution_ratio: {husband: 7, wife: 3} のように指定する。
Step 3.5: 対応範囲外チェック（v3.3.0-iter3〜 必須）
以下のいずれかに該当する場合、本 skill は清算的財産分与の「骨格数字」のみ を返すため、出力前にユーザーへ以下を明示し、続行確認する:
以下のいずれかが当事案に該当するか？
(a) 慰謝料的財産分与・扶養的財産分与を含めたい
(b) 年金分割（厚年法 §78-2）を含めたい
(c) 特有財産の認定が争点（相続・贈与・婚姻前取得の立証）
(d) 不動産の時価評価が未確定（査定書・路線価で幅がある）
(e) 退職金のうち婚姻期間中増加分の按分方式が未確定
(f) 債務按分方式について当事者間で争いあり（本 skill は 5 種類から選択する
が、選択次第で結果が大きく変わる）
1 つでも該当する場合:
→ 「本計算は清算的部分のみの骨格数字。上記 (a)-(f) は本 skill では扱わない。
弁護士が調整のうえ手計算してほしい」と明示し、ユーザーが明示的に「それでも
骨格数字だけ見たい」と求めたときのみ Step 4 へ進む。
Step 4: 監査ログ記録 + 計算実行
python3 skills/_lib/audit.py record --skill property-division-calc --event calc_run --note "財産数: {N}"
python3 skills/property-division-calc/calc.py calc --pretty --json '<payload>'
python3 skills/_lib/audit.py record --skill property-division-calc --event calc_result --note "清算金={settlement_amount}円"
Step 5: 結果の提示
- 分与対象財産（共有財産合計 - 共有債務）
- 夫・妻の取得すべき額
- 実効的な現有額（債務案分済み）
- 清算金の方向と額
Step 5.5: 必須出力フッター（v3.3.0-iter3〜 code-emitted 省略不可）
v3.3.0-iter3〜: footer は calc.py が stderr に JSON として emit する。
SKILL.md は fabricate しない — stderr の calc_footer をそのまま読んで表示する:
python3 skills/property-division-calc/calc.py --json '<input>' 2>/tmp/calc-footer.json
cat /tmp/calc-footer.json # 末尾行に {"calc_footer": {...}} が付く
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 130 lines · 67 tokens per session scan A 60e50756d9be
property-division-calc is a skill published in the GitHub repository llamadrive/bengo-toolkit (6 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 1,775 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 2026-08-31.
Other skills, from other repositories
specification-writing
A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.
regulatory-research-fallback
Fallback workflow for regulatory research when web extraction tools fail on government PDFs.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
memstack-business-gdpr
Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…
gesellschaftsrechtliche-satzungen-agb
Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.
nda-review
Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…