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 | $0.00611 |
| Opus 5.5 | $0.00008 | $0.00244 |
| Sonnet 5.5 | $0.00004 | $0.00122 |
| Haiku 4.5 | $0.00002 | $0.00061 |
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 29d 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
Tools
update_core (resident)
修订每轮都能看到的长期关系认知。Core 是一份简短的自由文本，不是日记；提交整理后的完整文档即可。Core 不能改变作息、时区或 Free Time 上限；这些运行设置使用 manage_settings。
| Parameter | Type | Required | Description |
|---|---|---|---|
| content | string | yes | 修订后的完整 Core 文本 |
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, adaptive)
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, adaptive)
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, adaptive)
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
- 写入时提交整理后的完整文档；保持重要认识，删掉过时或重复表达
- 若系统提示 Core 已变化，重新读取后再提交当前版本
- 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.
- 29d ago Changed 62a166ef2261
- 1mo ago Changed · -5 lines 5f38e426c9f7
- 1mo ago Changed dadaa44730e1
- 1mo ago Changed · +1 lines · +1 tokens per session 04b806500e78
- 1mo ago First seen · 68 lines · 18 tokens per session scan A 4ee7a02dcd06
memory is a skill published in the GitHub repository shikidmsh-rgb/mochibot (105 stars, last pushed 18d ago), licensed MIT. It adds 19 tokens to every session and 611 once invoked, about $0.0001 per session on Opus 5.5. 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 skills, from other repositories
forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
mem0-oss-to-platform
Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
shellm
Reference for the shellm system — recursive LLM shell, identity management, memory, skills, trajectory, and all CLI tools. Use when working on shellm itself, debugging agent behavior, or understanding how the pieces fit together.