traffic-damage-calc

traffic-damage-calc is a skill for Claude Code from llamadrive/bengo-toolkit. It costs 106 tokens per session (3,420 once invoked), scanned A, original, MIT.

A calculator for estimating personal-injury compensation after a traffic accident under Japan’s Red Book standard, a reference used in Japanese accident claims. It covers expenses, lost earnings, compensation for pain and suffering, lawyer fees, interest, and fault reduction.

In plain words
What is it for?
Use it to calculate treatment costs, lost income, disability or death compensation, lawyer fees, delay interest, and reductions for the injured person’s share of fault. It is an estimate, not a guaranteed settlement or judgment.
Why use it?
It turns case details into a consistent reference estimate instead of relying on ad hoc calculations.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 skills/_lib/audit.py record --skill traffic-damage-calc --event calc_run --note "被害者: {victim_name} / 等級: {disability_grade or 'なし'}".

Part of the bengo-toolkit plugin — 15 skills, 25 commands, 3 MCP servers shipped together

Good fit Use it to calculate treatment costs, lost income, disability or death compensation, lawyer fees, delay interest, and reductions for the injured person’s share of fault. It is an estimate, not a guaranteed settlement or judgment.

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Install

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.

Clone the repo
git clone --depth 1 https://github.com/llamadrive/bengo-toolkit
agentmods
npx agentmods add skills/llamadrive/bengo-toolkit/traffic-damage-calc

Made for: Claude Code.

Or install bengo-toolkit, the plugin that ships this one along with the rest of its 15 skills, 25 commands, 3 MCP servers.

Wrote 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.

agentmods badge for traffic-damage-calc

README.md
[![agentmods](https://agentmods.dev/badge/skills/llamadrive/bengo-toolkit/traffic-damage-calc/github.svg)](https://agentmods.dev/skills/llamadrive/bengo-toolkit/traffic-damage-calc)
Your own site
<a href="https://agentmods.dev/skills/llamadrive/bengo-toolkit/traffic-damage-calc"><img src="https://agentmods.dev/badge/skills/llamadrive/bengo-toolkit/traffic-damage-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.

agentmods 80×15 button for traffic-damage-calc

Your own site · 80×15
<a href="https://agentmods.dev/skills/llamadrive/bengo-toolkit/traffic-damage-calc"><img src="https://agentmods.dev/badge/skills/llamadrive/bengo-toolkit/traffic-damage-calc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,420 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00106 $0.03420
Opus 5 $0.00053 $0.01710
Sonnet 5 $0.00021 $0.00684
Haiku 4.5 $0.00011 $0.00342

Measured 9d ago against content hash 48d6ab4d26cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

traffic-damage-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.

The scan reads SKILL.md. This mod also ships 2 executable files (calc.py, test_calc.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/traffic-damage-calc/SKILL.md · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

交通事故損害賠償計算(traffic-damage-calc)

赤い本基準で交通事故の損害賠償額を決定論的に計算する。LLM の推論ではなく、 実務で確立した計算式と判例表値を用いるため、交渉・立証時の参考目安値 (supported estimate) として活用できる。

重要(v3.3.0〜): 本計算は任意保険会社提示額・和解額・判決額と乖離する 可能性がある。「裁判所に対して論拠を示せる額」と表記していた過去のコピーを 訂正した。提出前に必ず弁護士自身が事案固有要因(損益相殺・物損・過失相殺 の類型判定・将来介護費の係数選択等)を検討してほしい。対応範囲は ## 対応範囲外 セクションを参照。

前提条件

  • アクティブな matter が設定されていること(機密情報を扱うため)
  • 被害者の基本情報・事故の概要・傷害の程度が揃っていること

計算できる項目

  1. 積極損害(実費) — 治療費・通院交通費・装具費・入院雑費・付添看護費
  2. 消極損害(得べかりし利益) — 休業損害・後遺障害逸失利益・死亡逸失利益
  3. 慰謝料 — 入通院慰謝料(赤い本別表 I/II)・後遺障害慰謝料(等級別)・死亡慰謝料
  4. 弁護士費用 — 認容額の 10%(判例実務)
  5. 遅延損害金 — 年 3%(改正民法 404 条、2020/04-)
  6. 過失相殺 — 民法 722 条 2 項

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: 被害者情報の聴取

以下を順に確認する。不明な項目は「不明」として進め、後で再確認する:

項目 確認内容
氏名 被害者氏名
事故時年齢 整数
性別 male / female
職業 salaried(給与所得者)/ self_employed(自営業)/ household(主婦)/ student(学生)/ unemployed(無職)/ part_time(パート)
年収 源泉徴収票の支払金額(給与所得者)/確定申告の所得(自営業)。主婦は空欄で賃金センサスを使用
家計支持者か true/false。死亡慰謝料の区分に影響

Step 2: 事故情報の聴取

項目 確認内容
事故発生日 YYYY-MM-DD 形式
被害者過失割合 0-100 の数値。判タ38号の類型に基づく確定値を入力してほしい。未確定(推定値)の場合はユーザーに明示的に「判タ38号参照のうえ後日確定要」と注記

Step 2.5: 対応範囲外チェック(v3.3.0〜 必須)

以下のいずれかに該当する場合は出力を中止する(推定計算は court-facing には不適):

  (a) 物損(車両損害・代車・評価損)の計算が必要
  (b) 損益相殺(社保給付・労災給付・自賠責既払等)を要する
  (c) 将来介護費(係数選択: 実額/定額)に争いがある
  (d) 過失割合が未確定で、判タ38号の類型判定ができていない

該当時は「本 skill は対応範囲外。弁護士が事案固有検討のうえ手計算するか、専門 ソフト(例: 損害賠償ソフト・保険実務ツール)の利用を検討してほしい」と案内して 終了する。

Step 3: 治療経過の聴取

項目 確認内容
入院日数 実日数
通院日数 実日数
治療費総額
通院交通費
装具・器具費
付添看護(入院) 家族付添の日数
付添看護(通院) 家族付添の日数
傷害の程度 major(骨折・他覚所見あり)/ minor(むち打ち等、他覚所見なし)。赤い本別表 I/II を切替

Step 4: 休業損害の聴取

項目 確認内容
休業日数 実日数
日額の上書き(任意) 判例基準で個別計算したい場合に指定

Step 5: 後遺障害の聴取(該当時)

Read the full file on GitHub · 254 lines

Files

What ships with it

3 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.

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. 9d ago First seen · 254 lines · 106 tokens per session scan A 48d6ab4d26cf

Subscribe to this mod's changes

traffic-damage-calc is a skill published in the GitHub repository llamadrive/bengo-toolkit (6 stars, last pushed 1mo ago), licensed MIT. It adds 106 tokens to every session and 3,420 once invoked, about $0.0005 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.

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