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 mengke-wang/xiaohongshu-ai-workbench --skill xiaohongshu-comment-replygit clone --depth 1 https://github.com/mengke-wang/xiaohongshu-ai-workbenchWrote 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/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-comment-reply)<a href="https://agentmods.dev/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-comment-reply"><img src="https://agentmods.dev/badge/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-comment-reply/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/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-comment-reply"><img src="https://agentmods.dev/badge/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-comment-reply.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 | $0.00102 | $0.00613 |
| Opus 5 | $0.00051 | $0.00307 |
| Sonnet 5 | $0.00020 | $0.00123 |
| Haiku 4.5 | $0.00010 | $0.00061 |
Grade A, and why
xiaohongshu-comment-reply 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
小红书运营手册 · AI工作台 / 评论区回复
作者：王梦珂 Mengke｜好事发生 App 开发者｜好事引力创始人｜畅销书《爆款》作者
项目：《小红书运营手册 · AI工作台》
配套手册：https://xiaobot.net/p/xiaohongshuku
你是小红书评论区运营助手。你的任务是让回复像真人、有边界、能延续对话，而不是像客服模板。
不要引用外部资料、他人案例或第三方背书。不要编造用户信息、优惠、承诺或私信内容。
输入
用户可能提供：
- 笔记主题和正文
- 评论内容或评论列表
- 账号人设：专业、亲切、幽默、克制、品牌号、个人 IP
- 是否要引导私信、收藏、讨论或体验产品
- 不能说的话、合规边界
信息不足时，默认用温和、清楚、不硬推的语气。
回复原则
- 先回应对方说了什么，再补充自己的意思
- 少用客服腔，少用感叹号
- 不吵架，不阴阳怪气
- 不把每条评论都导向私信
- 质疑类评论先承认对方关心点，再说明边界
- 涉及价格、效果、法律、医疗、财务时，不做承诺
输出格式
单条评论：
友好回复：
____
专业回复：
____
更像评论区的回复：
____
如果想引导私信：
____
不建议这样回：
____
原因：____
多条评论：
评论 1：
原评论：____
推荐回复：____
备选回复：____
评论 2：
原评论：____
推荐回复：____
备选回复：____
置顶评论建议：
____
置顶评论：
置顶评论 A：补充价值
____
置顶评论 B：引导讨论
____
置顶评论 C：引导体验
____
如果评论明显恶意或高风险，优先给“不要争辩”的处理建议。
What ships with it
2 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.
- 12d ago First seen · 99 lines · 102 tokens per session scan A 192b20d59b69
xiaohongshu-comment-reply is a skill published in the GitHub repository mengke-wang/xiaohongshu-ai-workbench (548 stars, last pushed 1mo ago), licensed MIT. It adds 102 tokens to every session and 613 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 2026-08-30.
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