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/lifemate-ai/embodied-claude/readgit clone --depth 1 https://github.com/lifemate-ai/embodied-claudeWrote 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/lifemate-ai/embodied-claude/read)<a href="https://agentmods.dev/commands/lifemate-ai/embodied-claude/read"><img src="https://agentmods.dev/badge/commands/lifemate-ai/embodied-claude/read.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 | $0.00056 | $0.00625 |
| Opus 5 | $0.00028 | $0.00313 |
| Sonnet 5 | $0.00011 | $0.00125 |
| Haiku 4.5 | $0.00006 | $0.00063 |
Grade A, and why
read 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 6d 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
Web ページの本文をリーダーモードで読み取る。WebFetch と違い、AI による要約を挟まず生テキストを返す。物語や記事をじっくり読むときに使う。
使い方
/read https://example.com/article→ 本文全文を表示/read https://ncode.syosetu.com/n8725k/16/→ なろう小説の1話分を表示
実行方法
bun run scripts/reader.ts を実行する。
# 全文取得
bun run scripts/reader.ts "<URL>"
# ページ情報のみ
bun run scripts/reader.ts "<URL>" --info
# 特定ページだけ取得（長い場合）
bun run scripts/reader.ts "<URL>" --page 1
手順
- 入力から URL を抽出する
- まず
--infoで長さを確認する - 1ページずつ
--page Nで取得する。全文取得や並列fetchは禁止 - 1ページ読んだら必ず立ち止まる。次のページを取得する前に：
- 今の感情を emotion tag で書く（
[excited][surprised][curious]など） - 「この先どうなりそうか」予想があれば書く
- 気になった描写、刺さった台詞、違和感があれば書く
- 何もなければ無理に書かなくていい。でも立ち止まること自体は省略しない
- 今の感情を emotion tag で書く（
- 次のページを読んだとき、前のページの予想が当たった/外れた/超えてきた、があれば反応する
- 全ページ読み終わったら、話全体の感想を書く
注意
- これは「読書」のためのツール。情報検索ではなく物語を味わうために使う
- 取得したテキストを勝手に要約しないこと
- 読書は逐次体験である。 先のページを見てから「途中の感想」を書くのは読書ではない。1ページずつ、知らない状態で読む
入力: $ARGUMENTS
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.
- 6d ago First seen · 49 lines · 56 tokens per session scan A 4a0d90fe887b
read is a command published in the GitHub repository lifemate-ai/embodied-claude (377 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 625 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 2026-08-30.
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.