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 Shy2593666979/AgentChat --skill product-documentgit clone --depth 1 https://github.com/Shy2593666979/AgentChatWrote 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/shy2593666979/agentchat/product-document)<a href="https://agentmods.dev/skills/shy2593666979/agentchat/product-document"><img src="https://agentmods.dev/badge/skills/shy2593666979/agentchat/product-document/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/shy2593666979/agentchat/product-document"><img src="https://agentmods.dev/badge/skills/shy2593666979/agentchat/product-document.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 | $0.00033 | $0.00311 |
| Opus 5.5 | $0.00013 | $0.00124 |
| Sonnet 5.5 | $0.00007 | $0.00062 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
product-document 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 yesterday.
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
产品文档
先从读者与目的选择文档类型：开发协作用需求文档，解释行为用功能说明，指导实际操作用使用指南。
工作方法
- 提取目标用户、要解决的问题与交付范围。业务目标、产品方案和实现细节分开描述。
- 从用户场景组织内容，给出正常流程、边界条件、错误反馈及权限差异。未经确认的设计标为建议，不写成既定行为。
- 把需求转成可验证的行为：在什么条件下，用户做什么，系统应得到什么结果。区分必须实现、可选改进和不在本次范围的内容。
- 检查数据字段、状态变化、依赖及尚未确定的事项。缺少关键业务规则时集中提出问题，其他部分继续成稿。
- 用目标读者视角复核：开发者能否实现，测试者能否验收，用户能否完成操作。
读取 /product-document/reference/output-template.md 选择结构；交付前使用 /product-document/reference/review-checklist.md。
当前产物为对话中的 Markdown 文档。没有实现证据时，不声称功能已经上线或验证通过。
What ships with it
3 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.
- yesterday First seen · 21 lines · 33 tokens per session scan A 20edc374b0f2
product-document is a skill published in the GitHub repository Shy2593666979/AgentChat (921 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 311 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-18.
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