Borrowing it
Nothing to install: this file belongs to BlueEventHorizon/Swift-Selena. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/BlueEventHorizon/Swift-Selena/main/.claude/commands/read_conversation.mdgit clone --depth 1 https://github.com/BlueEventHorizon/Swift-SelenaWrote 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/blueeventhorizon/swift-selena/read_conversation)<a href="https://agentmods.dev/commands/blueeventhorizon/swift-selena/read_conversation"><img src="https://agentmods.dev/badge/commands/blueeventhorizon/swift-selena/read_conversation/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/commands/blueeventhorizon/swift-selena/read_conversation"><img src="https://agentmods.dev/badge/commands/blueeventhorizon/swift-selena/read_conversation.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 | $0.00000 | $0.00468 |
| Opus 5 | $0.00000 | $0.00234 |
| Sonnet 5 | $0.00000 | $0.00094 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
read_conversation 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.
What it actually says
過去の対話履歴を読み込む
meta/history/CONVERSATION_HISTORY.md に記録された過去の対話履歴を読み込み、要約して表示します。
使用方法
/read_conversation
実行内容
meta/history/CONVERSATION_HISTORY.mdを読み込む- 記録されているセッションの一覧を表示
- 各セッションの概要を簡潔に要約
- 重要な学びや設計原則を抽出
出力例
📚 対話履歴サマリー
## 記録されているセッション
1. ToC・CLAUDE.md・ドキュメント構造の最適化 (2025-10-19)
2. Code Header Format実装とSwift-Selena MCP仕様更新 (2025-10-25)
## 主要な成果
- ToC検索システム確立
- CLAUDE.md最適化（ROI: 104倍）
- Code Header自動メンテナンス機構
- Swift-Selena MCP仕様の簡潔化
## 重要な設計原則
1. トークン最適化: Memory Files削減より後続文書削減が重要
2. ドキュメントの簡潔性: API詳細より「いつ使うか」を記述
3. 構造的防止策: 忘れないための2段構え（Memory + Workflow）
...
活用シーン
- プロジェクト開始時: 過去の判断理由を理解
- 新メンバー参加時: プロジェクトの進化の経緯を共有
- 類似問題発生時: 過去の解決策を参照
- 振り返り時: 学びを再確認
注意事項
- ファイルが存在しない場合は、その旨を通知
- 長大な履歴の場合は、最新のセッションを重点的に要約
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 · 51 lines · 0 tokens per session scan A 52fd0e110974
read_conversation is a command published in the GitHub repository BlueEventHorizon/Swift-Selena (5 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 468 tokens. 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
minutes-ideas
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learn
Force claude-smart to extract learnings from this session now.
memory-store
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cc-memory
Configure persistent memory that survives across sessions using a layered approach: split rule files for always-loaded context, auto-memory for organic learning, and optional MCP-backed long-term memory for large codebases.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.