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 shikidmsh-rgb/mochibot --skill memorygit clone --depth 1 https://github.com/shikidmsh-rgb/mochibotWrote 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/shikidmsh-rgb/mochibot/memory)<a href="https://agentmods.dev/skills/shikidmsh-rgb/mochibot/memory"><img src="https://agentmods.dev/badge/skills/shikidmsh-rgb/mochibot/memory/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/shikidmsh-rgb/mochibot/memory"><img src="https://agentmods.dev/badge/skills/shikidmsh-rgb/mochibot/memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.00841 |
| Opus 5 | $0.00010 | $0.00420 |
| Sonnet 5 | $0.00004 | $0.00168 |
| Haiku 4.5 | $0.00002 | $0.00084 |
Grade A, and why
memory 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tools
update_core (resident)
需要修改每轮常驻的自我、用户或关系摘要时调用。Core 是一份持续修订的自由文本文档，不是事件追加日志；标题仅为可选的可读性组织方式。Core 不能改变作息、时区或主动消息上限；这些运行设置使用 manage_agent_settings。
| Parameter | Type | Required | Description |
|---|---|---|---|
| action | string (enum: edit, delete, insert_after, batch) | yes | Patch 操作；已有内容用 edit，真正独立的新内容才用 insert_after |
| content | string | no | insert_after：作为独立文本块插在唯一 anchor_text 后的内容 |
| old_text | string | no | edit/delete：必须与当前 Core 中一段原文精确且唯一匹配 |
| new_text | string | no | edit：替换后的原文 |
| anchor_text | string | no | insert_after：必须与当前 Core 中一段原文精确且唯一匹配的文本锚点，不是固定 section 或字段 |
| operations | array (items: object) | no | batch：同一份 Core 快照上按顺序原子执行 edit/delete/insert_after；每项使用对应参数，任一步失败则不写入也不创建快照 |
recall_memory (on_demand)
搜索已保存的用户记忆。
| Parameter | Type | Required | Description |
|---|---|---|---|
| query | string | no | 搜索关键词 |
list_memories (on_demand)
列出已保存的记忆。
| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | integer | no | 最大返回条数（默认 30） |
delete_memory (on_demand)
按 ID 删除一条记忆（移入回收站，30 天内可恢复）。
| Parameter | Type | Required | Description |
|---|---|---|---|
| memory_id | integer | yes | 要删除的记忆 ID |
memory_stats (on_demand)
显示记忆系统统计（总数、重要记忆和回收站大小）。
无需参数。
view_core_memory (on_demand)
显示完整的核心记忆内容。
无需参数。
memory_trash_bin (on_demand)
查看或恢复回收站中已删除的记忆。
| Parameter | Type | Required | Description |
|---|---|---|---|
| action | string (enum: list, restore) | no | list（默认）或 restore |
| trash_id | integer | no | restore 时必填——要恢复的回收站条目 ID |
Usage Rules
- update_core 每轮都可用：Main 只维护每轮常驻的稳定 Core
- 具体 Memory Items 由后台 Lite 按聊天批次整理；Main 不直接创建条目
- Core 是持续修订的文档，不是事件流水账；新事实优先合并到已有表达，不得重复整段用户画像或创建同名 H1 区块
- 已有内容用 edit；只有真正独立的新内容才用 insert_after。两者都必须先读取当前 Core，并使用精确且唯一的 old_text/anchor_text
- 冲突时用 view_core_memory 重新读取再重试，不要盲目追加、猜测或模糊删除
- batch 在同一份 Core 快照上原子执行；超出预算会拒绝，不会截断
- 管理类操作（recall / list / delete / stats / view_core / trash）按需通过
request_tools(skills=["memory"])申请
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago Changed dadaa44730e1
- 5d ago Changed · +1 lines · +1 tokens per session 04b806500e78
- 10d ago First seen · 68 lines · 18 tokens per session scan A 4ee7a02dcd06
memory is a skill published in the GitHub repository shikidmsh-rgb/mochibot (81 stars, last pushed 3d ago), licensed MIT. It adds 19 tokens to every session and 841 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 2026-08-30.
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