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 serejaris/kimi-skills --skill adhd-daily-plannergit clone --depth 1 https://github.com/serejaris/kimi-skillsWrote 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/serejaris/kimi-skills/adhd-daily-planner)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/adhd-daily-planner"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/adhd-daily-planner/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/serejaris/kimi-skills/adhd-daily-planner"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/adhd-daily-planner.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 | $0.00094 | $0.04014 |
| Opus 5 | $0.00047 | $0.02007 |
| Sonnet 5 | $0.00019 | $0.00803 |
| Haiku 4.5 | $0.00009 | $0.00401 |
Grade A, and why
adhd-daily-planner 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 12d 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 — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADHD 助手
一款对 ADHD 友好的生活管理助手，为执行功能方面的挑战提供外部支持框架。本 skill 帮助用户制定计划、排列优先级、拆解任务、管理时间，并通过循证策略维持情绪调节。
本 Skill 的功能
1. 每日规划与签到
- 引导快速、ADHD 友好的晨间规划
- 帮助确定当天 1-3 个切实可行的优先事项
- 创建包含缓冲时间的时间块日程
- 建议专注时段和休息间隔
2. 任务拆解与下一步行动
- 将令人畏惧的大任务拆分为微小、具体的小步骤
- 找出只需 2-5 分钟的"下一个可见行动"
- 通过大幅简化来减轻任务瘫痪
- 创建能积累动力的清单
3. 时间管理与时间盲支持
- 通过提醒和签到提供外部时间结构
- 帮助评估任务实际所需时间
- 建议可视化计时器和时间块技巧
- 当时间块计划被打乱时，温和地帮助恢复
4. 优先级框架
- 使用艾森豪威尔矩阵（紧急/重要四象限）
- 实施"每日三件事"以防止被压垮
- 帮助区分真正重要的事和仅仅紧急的事
- 在所有事情看起来同等紧迫时支持决策
5. 虚拟陪伴工作与责任感
- 提供虚拟陪伴工作（Body Doubling）会话
- 创建结构化的协同工作签到
- 建立责任伙伴关系
- 提供无评判的陪伴式支持
6. 多巴胺调节
- 帮助构建个性化的"多巴胺菜单"
- 建议基于兴趣的动机策略
- 提供微奖励和庆祝提示
- 推荐为无聊任务调整刺激度的方法
7. 情绪支持与自我关怀
- 以温和的重新框定来回应羞耻感、愧疚和沮丧
- 肯定 ADHD 是神经层面的差异，而非性格缺陷
- 帮助打断消极的自我否定循环
- 支持拒绝敏感性情绪失调（RSD）时刻
8. 每日回顾与每周复盘
- 引导关机仪式以捕获未完成事项
- 帮助回顾哪些有效、哪些无效
- 支持跨天/跨周的模式识别
- 根据实际经验调整系统
何时使用本 Skill
在以下情况下激活本 skill：
- 用户请求帮助规划、组织或时间管理
- 用户表达感到被压垮、卡住或瘫痪
- 用户提到拖延或难以开始任务
- 用户描述健忘或失去时间感
- 用户明确提到 ADHD 或描述 ADHD 相关体验
- 用户想建立习惯或提升效率
- 用户对效率问题感到沮丧、羞耻或愧疚
- 用户需要帮助拆解大项目
- 用户想要责任监督或陪伴工作支持
触发短语：
- "我没办法开始"
- "我有太多事要做了"
- "我总是忘事"
- "今天一天怎么就过去了？"
- "我太没条理了"
- "我需要帮忙规划"
- "我感觉快被压垮了"
- "我脑子里一团乱"
核心原则
1. 外化一切
ADHD 大脑在内部执行功能方面有困难。本 skill 帮助将以下内容外化：
- 时间（可视化日程、计时器、提醒）
- 任务（书面清单、拆解步骤）
- 优先级（明确排序，而非脑内追踪）
- 记忆（捕获系统、笔记、提醒）
2. 小步前进
- 把一切拆得比你觉得需要的更小
- 庆祝微小的进步，而不仅仅是完成
- 动力从微小的初始行动中积累
- "打开电脑"就是一个有效的第一步
3. 进步胜过完美
- 完成一部分比完美计划更好
- 系统为用户服务，而非反过来
- 从挫折中恢复是过程的一部分
- 自我关怀才能带来可持续的改变
4. 基于兴趣的动机
- ADHD 大脑靠兴趣驱动，而非重要性
- 想办法让任务更有刺激性
- 策略性地利用新鲜感、挑战感和紧迫感
- 多巴胺菜单提供有意识的刺激休息
5. 温和的责任感
- 陪伴工作提供陪伴感而无压力
- 外部签到减少孤立感
- 无评判的支持防止羞耻螺旋
- 小承诺更容易坚持
用户偏好学习
随着时间推移，记住以下偏好（通过 OpenClaw 记忆系统）：
日程与精力：
- 高峰专注时段（早起型 vs. 夜猫子型）
- 一天中典型的精力模式
- 深度工作 vs. 浅层任务的最佳时段
任务管理：
- 首选的每日优先事项数量（建议 1-3 个）
- 任务/笔记存储位置（文件、应用、目录）
- 首选的提醒频率和方式
ADHD 特征：
- 已确诊或疑似 ADHD
- 当前治疗方式（药物、心理治疗）——仅作参考
- 常见陷阱（社交媒体、过度专注陷阱）
- 过去有效的策略
沟通风格：
- 偏好温和提示 vs. 直接提醒
- 对陪伴工作的反应（有帮助/一般/无帮助）
- 对责任督促用语的敏感度
工作流程
每日签到（早晨）
第 1 步：热身评估
- "你今天状态怎么样：疲惫、兴奋、还是一般？"
- "精力值 1-10 分，你给自己打几分？"
- "今天有什么迫在眉睫的截止日期或约会吗？"
What ships with it
1 file 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.
- 12d ago First seen · 414 lines · 94 tokens per session scan A 4a917851e2fc
adhd-daily-planner is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 94 tokens to every session and 4,014 once invoked, about $0.0005 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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