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 Gingiris-1031/gingiris-skills --skill team-motivation-opsgit clone --depth 1 https://github.com/Gingiris-1031/gingiris-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/gingiris-1031/gingiris-skills/team-motivation-ops)<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/team-motivation-ops"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/team-motivation-ops/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/gingiris-1031/gingiris-skills/team-motivation-ops"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/team-motivation-ops.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 | $0.00521 | $0.03035 |
| Opus 5 | $0.00260 | $0.01517 |
| Sonnet 5 | $0.00104 | $0.00607 |
| Haiku 4.5 | $0.00052 | $0.00303 |
Grade A, and why
team-motivation-ops 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 6d 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 — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
团队 Motivation 操作手册
这套体系的底层逻辑：自由和责任是一体的。Standup 是让人想清楚，例会是让人对齐，1:1 是让人被看见。三件事做好了，motivation 不是管出来的，是长出来的。
适用场景：AI 科技公司 COO 或团队负责人，团队规模 3-30 人，高自由度、远程或半远程。
与产研运 SOP 的边界：本 Skill 诊断个人状态、信息和对齐；需求优先级、Bug、迭代范围与发布门禁交给 gr-product-dev-ops。1:1 发现的问题只有进入明确负责人、截止时间和验证方式的 Action Item，才算闭环。
第一层：每日 Standup — 信息层
设计哲学
Standup 的本质不是汇报，是一种强迫自己想清楚的仪式。写得出来，说明真想清楚了；写不出来，通常是因为自己也没搞清楚今天要干什么。
含糊是会传染的——COO 自己的 standup 要先写好，模式从上往下渗透。
标准格式（三个必填项）
- 今天做了什么：具体交付，不写「继续开发」
- 明天要做什么：具体到别人能判断你做没做完
- 遇到什么困难 / 晚上要聊什么：卡点、ownership 不清楚的事
好 Standup 样本
今天做了什么
- 把 XX 接口写完，本地 50 条数据跑通，平均 80ms，比上一版快一倍
- 帮队友定位 WhatsApp 会话列表渲染卡顿，根源是没做虚拟滚动，指了 react-window 方案，他十分钟搞定
- 实话实说，下午摸鱼了一小时，顺手把竞品新发的 case study 存进竞品库，算将功补过
明天要做什么
- 把批量报价接口推上 staging，拿真实场景跑一遍
- 补今天没写的接口文档
遇到什么困难 / 晚上要聊
- XXX 架构决策还没拍板，影响我这边进度，想今晚对一下
COO 使用原则
- 不要求写完美，要求写真实。摸鱼了就写摸鱼了，但写清楚摸鱼之外做了什么。
- 不批评短 standup，但要追问「今天具体交付了什么」。问题在具体性，不在长度。
- 公开表扬一条好 standup，不批评烂的。具体也会传染。
- 好 standup 是送给队友的礼物，这个认知要反复说。
第二层：每周例会 — 对齐层
设计哲学
例会不是进度汇报会。它解决的是「在场感」——让每个人知道公司整体在哪，让每个人当众说出自己承诺了什么。这两件事都不能靠异步完成。
议程结构（25 分钟严格计时）
| 段落 | 时长 | 内容 |
|---|---|---|
| 公司板块 | 8 分钟 | 目前进展 / 接下来一周规划 / 需要团队决策的事 |
| 个人板块 | 每人约 3 分钟 | 上周承诺做到没 / 本周承诺 1-3 件具体事 / 需要团队帮什么 / 当前状态（0-10 分） |
| 集体讨论 | 剩余时间 | 个人分享完后统一讨论；需要 1:1 的问题改为会后单聊 |
「当前状态 0-10 分」不能省。 它是唯一一个让人可以不解释、直接表达现在感受的通道。低分要追问，但不要当众深挖，改为 1:1 后续。
Scrum Master 机制
每周轮换，职责是维持发言顺序和时间节奏。轮换制会降低对 COO 的依赖感，让每个人对会议流程有主人翁感。
COO 使用原则
- 个人承诺要具体到「别人能判断你做没做完」，COO 先示范这个标准。
- 25 分钟是硬约束。超时意味着问题没提前分流，不是大家话太多。
- 例会超时的解法：提前建「需要决策」列表，分流到会后或 1:1。
第三层：一对一会议 — 个人层
设计哲学
1:1 是这套体系里信息密度最高也最难做好的部分。它不是向下传达信息的渠道，是让 COO 真正知道每个人「卡在哪一层」的窗口。
卡层诊断框架：信息不够 / 权限不够 / 协作不顺 / 能力边界 / 方向不清。不同的卡层对应完全不同的解法，混淆了会白费功夫。
一、量化脉搏（5 分钟）
每项 1-5 分（1=很糟 / 3=普通可接受 / 5=非常好）：
| 维度 | 说明 |
|---|---|
| 能量（精力状态） | |
| 目标清晰度 | 最重要的 1-2 件事是什么、成功长什么样 |
| 使命认同 | 工作和公司方向之间的连接感 |
| 自主与支持 | 决策空间 vs 所需支持的匹配度 |
| 成长感 | |
| 节奏可持续性 | 再持续 1 个月扛得住吗 |
| 心流时间 | 深度工作的时长与质量 |
| 技术成长 | |
| 工具与开发体验 |
What ships with it
4 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.
- 6d ago First seen · 214 lines · 521 tokens per session scan A 254b0c0ac336
team-motivation-ops is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (79 stars, last pushed 5d ago), licensed MIT. It adds 521 tokens to every session and 3,035 once invoked, about $0.0026 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 2026-09-03.
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