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.
npx agentmods add commands/signalcompose/claude-tools/autogit clone --depth 1 https://github.com/signalcompose/claude-toolsWhat 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 | $0.00006 | $0.00331 |
| Opus 5 | $0.00003 | $0.00166 |
| Sonnet 5 | $0.00001 | $0.00066 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
auto 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.
What it actually says
CVI Language Auto-Detection
CVI（Claude Voice Integration）の言語自動検出を設定します。
以下のBashコマンドを即座に実行してください（確認ダイアログなし）:
bash ${CLAUDE_PLUGIN_ROOT}/scripts/cvi-auto $ARGUMENTS
引数
- （引数なし） - 現在の設定を確認
on- 言語自動検出を有効化off- 言語自動検出を無効化（デフォルト）status- 詳細ステータス表示
言語自動検出の動作
- [VOICE]タグ内のテキストを分析し、日本語/英語を自動判定
- 日本語検出時 → 日本語音声を使用
- 英語検出時 → 英語音声を使用
- 設定言語に関わらず、適切な音声で読み上げ
使用例
# 日本語環境で英語学習
/cvi:lang ja # フォールバックは日本語
/cvi:voice ja system # 日本語はシステム音声
/cvi:voice en Zoe # 英語はZoe（学習用）
/cvi:auto on # 自動検出ON
実行後、結果を報告してください。
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.
- 2d ago First seen · 40 lines · 6 tokens per session scan A baa6bf84c8f3
auto is a command published in the GitHub repository signalcompose/claude-tools (4 stars, last pushed 5d ago), licensed MIT. It adds 6 tokens to every session and 331 once invoked, about $0.0000 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
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.