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 skills/morphicai/openclaw-morphixai/ms-todonpx skills add Morphicai/openclaw-morphixai --skill ms-todogit clone --depth 1 https://github.com/Morphicai/openclaw-morphixaiWrote 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/morphicai/openclaw-morphixai/ms-todo)<a href="https://agentmods.dev/skills/morphicai/openclaw-morphixai/ms-todo"><img src="https://agentmods.dev/badge/skills/morphicai/openclaw-morphixai/ms-todo.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 | $0.00038 | $0.00781 |
| Opus 5 | $0.00019 | $0.00391 |
| Sonnet 5 | $0.00008 | $0.00156 |
| Haiku 4.5 | $0.00004 | $0.00078 |
Grade A, and why
ms-todo 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 4d 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
Microsoft To Do
通过 mx_ms_todo 工具管理 Microsoft To Do 中的任务列表和任务。
前置条件
- 安装插件:
openclaw plugins install openclaw-morphixai - 获取 API Key: 访问 morphix.app/api-keys 生成
mk_xxxxxx密钥 - 配置环境变量:
export MORPHIXAI_API_KEY="mk_your_key_here" - 链接账号: 访问 morphix.app/connections 链接 MS To Do 账号,或通过
mx_link工具链接(app:microsofttodo)
核心操作
列出任务列表
mx_ms_todo:
action: list_task_lists
创建任务列表
mx_ms_todo:
action: create_task_list
display_name: "项目待办"
列出任务
mx_ms_todo:
action: list_tasks
list_id: "AQMkADxx..."
top: 20
查看任务详情
mx_ms_todo:
action: get_task
list_id: "AQMkADxx..."
task_id: "AQMkADxx..."
创建任务
mx_ms_todo:
action: create_task
list_id: "AQMkADxx..."
title: "完成 API 文档"
body: "编写 REST API 接口文档,包含请求/响应示例"
importance: "high"
due_date: "2026-03-01"
更新任务
mx_ms_todo:
action: update_task
list_id: "AQMkADxx..."
task_id: "AQMkADxx..."
title: "更新后的标题"
importance: "normal"
完成任务
mx_ms_todo:
action: complete_task
list_id: "AQMkADxx..."
task_id: "AQMkADxx..."
删除任务
mx_ms_todo:
action: delete_task
list_id: "AQMkADxx..."
task_id: "AQMkADxx..."
常见工作流
每日任务管理
1. mx_ms_todo: list_task_lists → 找到目标列表
2. mx_ms_todo: list_tasks, list_id: "xxx" → 查看当前任务
3. mx_ms_todo: create_task → 添加新任务
4. mx_ms_todo: complete_task → 完成已做的任务
注意事项
importance可选值:low、normal、highstatus可选值:notStarted、inProgress、completed、waitingOnOthers、deferreddue_date格式为YYYY-MM-DDaccount_id参数通常省略,工具自动检测已链接的 MS To Do 账号
文档与源码:GitHub
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.
- 4d ago First seen · 119 lines · 38 tokens per session scan A de22b6596070
ms-todo is a skill published in the GitHub repository Morphicai/openclaw-morphixai (0 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 781 once invoked, about $0.0002 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 2026-09-01.
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