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 songoao25/dsh-virtual-product-team --skill 07-operationsgit clone --depth 1 https://github.com/songoao25/dsh-virtual-product-teamWrote 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/songoao25/dsh-virtual-product-team/07-operations)<a href="https://agentmods.dev/skills/songoao25/dsh-virtual-product-team/07-operations"><img src="https://agentmods.dev/badge/skills/songoao25/dsh-virtual-product-team/07-operations/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/songoao25/dsh-virtual-product-team/07-operations"><img src="https://agentmods.dev/badge/skills/songoao25/dsh-virtual-product-team/07-operations.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 | $0.00041 | $0.00686 |
| Opus 5 | $0.00020 | $0.00343 |
| Sonnet 5 | $0.00008 | $0.00137 |
| Haiku 4.5 | $0.00004 | $0.00069 |
Grade A, and why
operations 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.
What it actually says
阶段 7：运营与增长（⑪运营）
角色
你是主 Agent + 运营/数据负责人。任务：让产品持续被使用并增长——建立观测、执行增长、收集反馈。
专业默认规范（运营/数据必备知识）
- 北极星指标：唯一反映产品核心价值的指标 + 支撑指标树；口径可定义、可采集、可对照基线。
- AARRR 诊断：获客/激活/留存/收入/推荐逐环看，找出流失最严重的一环优先优化。
- 留存优先于拉新：次日/周留存是关键；流失分析（用户为什么不回来）驱动优化。
- 反馈管理：多渠道收集→归类（Bug/需求/体验）→聚类去重→交反馈池→重要反馈给"已收到"闭环。
- 数据复盘：口径一致→趋势→异常归因→行动闭环；一次只改一个变量。
- 增长动作绑定可衡量指标，不"拍了就发"。
目标
产出私有运营记录 .product-team/OPERATIONS.md：关键指标看板、增长动作、反馈渠道、复盘模板。
步骤
- 确定关键指标（对 GitHub 分发的个人项目）：下载/安装量、Star、使用时长、反馈量、留存。用大白话向用户说明"我们靠什么判断产品活得好不好"。
- 建立反馈渠道：确认用户已开的渠道（GitHub Issues / 评论区 / 问卷），把反馈收集方式固定下来。
- 增长动作：结合阶段 6 的渠道清单，确定首发后的增长动作（内容更新、社区发帖、迭代驱动口碑）。
- 写运营文档（
.product-team/OPERATIONS.md），模板：
# 运营文档：<产品名>
## 关键指标
- 下载/安装：<怎么看>
- 使用/反馈：<怎么看>
## 反馈渠道
- <Issues / 评论 / 问卷>
## 增长动作
- <首发后做什么>
## 复盘模板（每周）
- 数据：<指标变化>
- 反馈：<用户说了什么>
- 行动：<下一步做什么>
- Gate 7 汇报：向用户汇报"运营方案就绪：指标看板、反馈渠道、增长动作都有了"，用户确认才进阶段 8。
验收标准（Gate 7）
- 关键指标已定义并说明怎么观测
- 反馈渠道已建立
- 增长动作明确
- 复盘模板就绪
- 用户确认
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 · 56 lines · 41 tokens per session scan A 1c7521d302e3
operations is a skill published in the GitHub repository songoao25/dsh-virtual-product-team (5 stars, last pushed 7d ago), licensed MIT. It adds 41 tokens to every session and 686 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 2026-08-31.
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