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/traffic-damage-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/commands/llamadrive/bengo-toolkit/traffic-damage-calc)<a href="https://agentmods.dev/commands/llamadrive/bengo-toolkit/traffic-damage-calc"><img src="https://agentmods.dev/badge/commands/llamadrive/bengo-toolkit/traffic-damage-calc.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 | $0.00025 | $0.00467 |
| Opus 5 | $0.00013 | $0.00234 |
| Sonnet 5 | $0.00005 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00047 |
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 7d 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
交通事故による人身損害の賠償額を、日弁連交通事故相談センター東京支部編「民事交通事故訴訟損害賠償額算定基準」（通称「赤い本」）の基準に従って計算する。LLM の推論ではなく、判例と実務で確立した表値・係数を用いた決定論的計算。
計算項目
- 積極損害（治療費・交通費・装具費・入院雑費・付添看護費）
- 消極損害（休業損害・後遺障害逸失利益・死亡逸失利益、Leibniz 係数による中間利息控除）
- 慰謝料（入通院・後遺障害・死亡、赤い本別表 I/II 準拠）
- 弁護士費用（10%、判例実務）
- 遅延損害金（年3%、改正民法 404 条）
- 過失相殺（民法 722 条 2 項）
$ARGUMENTS: 対話で入力するか、JSON ファイルを指定する。
使い方
対話形式で被害者・事故・治療情報を順次確認する。具体的な手順は skills/traffic-damage-calc/SKILL.md に従う。
まず skills/traffic-damage-calc/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.
- 7d ago First seen · 24 lines · 25 tokens per session scan A e6d19b07dfb4
traffic-damage-calc is a command published in the GitHub repository llamadrive/bengo-toolkit (6 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 467 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.
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