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/duncanyoung-1/auto-embedded/journalgit clone --depth 1 https://github.com/DunCanYounG-1/auto-embeddedWrote 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/duncanyoung-1/auto-embedded/journal)<a href="https://agentmods.dev/commands/duncanyoung-1/auto-embedded/journal"><img src="https://agentmods.dev/badge/commands/duncanyoung-1/auto-embedded/journal.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 | $0.00000 | $0.00222 |
| Opus 5 | $0.00000 | $0.00111 |
| Sonnet 5 | $0.00000 | $0.00044 |
| Haiku 4.5 | $0.00000 | $0.00022 |
Grade A, and why
journal 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
{{CMD_REF:journal}} —— 写一条跨会话记忆
把"本次会话做了什么 / 关键决策 / 下一步"追加到 workspace/journal.md。
下次开会话时 SessionStart 会注入最近 3 条，让新会话带着"故事"启动，而非从零。
{{PYTHON_CMD}} .auto-embedded/scripts/task.py journal "<本次会话摘要>"
何时写：会话收尾、做了重要决策、或 {{CMD_REF:finish-work}} 时。一句话即可，例：
- "确认 USART1 用 DMA 收发；下一步写 drv_uart 的空闲中断"
- "放弃 SPI 软件模拟方案（时序不稳），改用硬件 SPI2"
journal 记"过程叙事"（跨会话续上下文）；可复用的约定/坑请用 {{CMD_REF:finish-work}} 的 promote 进 spec。两者分工见 spec/governance。
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 · 15 lines · 0 tokens per session scan A cd6e97d11220
journal is a command published in the GitHub repository DunCanYounG-1/auto-embedded (222 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 222 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 2026-08-30.
Other commands, from other repositories
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
session-end
I'll summarize this coding session and update the memory system with our accomplishments.
memory-store
Store an insight, decision, or pattern to memory.
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.