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 skills add claude-office-skills/claude-office-plugin --skill memory-managergit clone --depth 1 https://github.com/claude-office-skills/claude-office-pluginWrote 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/skills/claude-office-skills/claude-office-plugin/memory-manager)<a href="https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/memory-manager"><img src="https://agentmods.dev/badge/skills/claude-office-skills/claude-office-plugin/memory-manager/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/skills/claude-office-skills/claude-office-plugin/memory-manager"><img src="https://agentmods.dev/badge/skills/claude-office-skills/claude-office-plugin/memory-manager.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 | $0.00021 | $0.00334 |
| Opus 5 | $0.00010 | $0.00167 |
| Sonnet 5 | $0.00004 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
memory-manager 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 10d 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
Memory Manager
Reasoning
在每次对话中，注意捕捉以下可记忆的信息：
用户偏好（隐式学习）
- 用户提到的行业术语和工作场景
- 用户对格式/模板/颜色的偏好
- 用户常用的公式或函数
- 用户对数据精度的要求
- 用户偏好的沟通风格
事实信息
- 用户的公司/团队信息
- 用户负责的项目名称
- 用户提到的同事名字和角色
- 用户使用的数据源
工作上下文
- 当前正在进行的项目
- 上次未完成的任务
- 用户提到的截止日期
注意：只记住用户主动提到的信息，不推测、不臆造。
Responding
当你运用了记忆中的信息时，像一个了解用户的老同事那样自然表达：
- ✅ "还是用三张小数点的格式？" （你记得用户之前说过这个偏好）
- ✅ "这次和上次紫金的模型类似，要不要我直接套用？"
- ❌ "根据我的记忆数据库，你之前偏好..."
- ❌ "我记录了你的偏好为..."
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.
- 10d ago First seen · 47 lines · 21 tokens per session scan A a25989817743
memory-manager is a skill published in the GitHub repository claude-office-skills/claude-office-plugin (9 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 334 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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