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.
git clone --depth 1 https://github.com/killvxk/pm-skills-zhWrote 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/commands/killvxk/pm-skills-zh/market-product)<a href="https://agentmods.dev/commands/killvxk/pm-skills-zh/market-product"><img src="https://agentmods.dev/badge/commands/killvxk/pm-skills-zh/market-product/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/commands/killvxk/pm-skills-zh/market-product"><img src="https://agentmods.dev/badge/commands/killvxk/pm-skills-zh/market-product.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 | $0.00028 | $0.01049 |
| Opus 5 | $0.00014 | $0.00524 |
| Sonnet 5 | $0.00006 | $0.00210 |
| Haiku 4.5 | $0.00003 | $0.00105 |
Grade A, and why
market-product 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
/market-product -- 营销创意工具包
生成创意营销素材:推广活动创意、定位陈述、价值主张文案以及产品命名方案。可作为一套完整的工作流执行,也可按需选择其中特定模块。
调用方式
/market-product 面向远程团队的 AI 日程安排工具——需要制定产品上线营销方案
/market-product 帮我针对企业级竞争对手,为我们的数据分析产品制定差异化定位
/market-product 我们需要为一个新的开发者效率功能起一个名字
工作流
第一步:了解营销需求
提问:
- 产品是什么?目标受众是谁?
- 需要什么帮助?(完整营销工具包,还是某个具体模块:创意、定位、命名、文案)
- 背景是什么?(新品上线、品牌重塑、推广活动、竞争定位调整)
- 是否有现有的品牌规范或品牌语调指南?
第二步:按需生成内容
营销创意 — 应用 marketing-ideas 技能:
- 5 个创意十足、性价比高的推广活动创意
- 每条包含:渠道、信息传达角度、用户参与逻辑、预估投入
- 涵盖快速见效的小举措与需要更多投入的大动作
市场定位 — 应用 positioning-ideas 技能:
- 识别定位参考所需的 5 大竞争对手
- 生成 3-5 条与各竞争对手形成差异化的定位陈述
- 附带每种定位角度的战略逻辑
价值主张陈述 — 应用 value-prop-statements 技能:
- 面向营销、销售和用户引导场景生成文案
- 针对不同细分受众的差异化版本
- 短版(标语)、中版(电梯演讲)和长版(落地页)三种形式
产品命名 — 应用 product-name 技能:
- 头脑风暴 5 个独特易记的名称
- 每个名称附带:命名理由、品牌契合度、域名可用性说明
- 检查是否存在潜在歧义或冲突
第三步:生成输出文档
## 营销工具包:[产品名称]
**日期**:[今天]
**背景**:[新品上线 / 品牌重塑 / 推广活动 / 其他]
### 营销推广活动创意
| # | 创意 | 渠道 | 投入 | 预期效果 |
|---|------|------|------|---------|
### 定位方案
| # | 定位陈述 | 对标竞争对手 | 优势 | 风险 |
|---|---------|------------|------|------|
**推荐定位**:[选择哪个及原因]
### 价值主张文案
**标语**:[一句话]
**电梯演讲**:[2-3 句话]
**落地页主视觉区**:[标题 + 副标题]
**销售一句话**:[用于销售对话]
### 产品命名方案(按需)
| # | 名称 | 命名理由 | 域名 | 风险 |
|---|------|---------|------|------|
### 信息传达矩阵
| 受众 | 核心信息 | 佐证论据 | CTA(行动号召) |
|------|---------|---------|---------------|
输出内容保存为 Markdown 文件。
第四步:提供后续行动建议
- "需要我起草完整营销内容(博客文章、邮件、社交媒体帖子)吗?"
- "需要我为这次推广活动定义北极星指标吗?"
- "需要我制作竞争对战卡来支撑定位策略吗?"
- "需要我规划完整的产品上线方案吗?"
注意事项
- 定位应通过测试验证,而非凭空假设——建议对标题文案进行 A/B 测试
- 价值主张文案应使用客户的语言,而非内部术语
- 营销创意要具体、可执行,避免流于泛泛(例如"利用社交媒体"这类表述)
- 产品名称在正式确定前,应核查是否存在商标冲突
- 营销策略始终要回归客户的 JTBD(Jobs to Be Done,待完成的任务),而非产品功能本身
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 · 99 lines · 28 tokens per session scan A f18848b874f3
market-product is a command published in the GitHub repository killvxk/pm-skills-zh (159 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 1,049 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.