Xiaohongshu Ai Workbench

STRONG · 84
Community indexed

《小红书运营手册 · AI工作台》: free Codex Skills for Xiaohongshu operations

Downloads0
Stars396
Version1.0.0
Quality99/100 · Excellent
Trust84/100 · Review then install
Audit93/100 · Safe to try

Supply asset profile

Marketing and growth automation

SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.

Browse track

Scenario

Content automation

I need my agent to turn research and product updates into useful content drafts.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add nihe0909/xiaohongshu-ai-workbench

Maintenance

fresh

Pushed today

Risk

Safe to try

Stars/forks activity: 396 stars, 37 forks; issue activity unavailable in current metadata

GitHub quality

396

99/100 Quality · 87/100 Trust

Coverage tags

MarketingContent automationmarketing-growthxiaohongshucontent-marketing

Review notes

Stars/forks activity: 396 stars, 37 forks; issue activity unavailable in current metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
99

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
84

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
93

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

396 GitHub stars

Repo activity

396 stars, 37 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add nihe0909/xiaohongshu-ai-workbench

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • Stars/forks activity: 396 stars, 37 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Workflow automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Move data between tools

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add nihe0909/xiaohongshu-ai-workbench
Policy
review
Human review
yes

Trust and risk

Trust
84/100
Audit
93/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add nihe0909/xiaohongshu-ai-workbench

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • Stars/forks activity: 396 stars, 37 forks; issue activity unavailable in current metadata
  • Production credentials, payments, or irreversible account changes without explicit human review

Agent safety v2

81/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

  • Stars/forks activity: 396 stars, 37 forks; issue activity unavailable in current metadata

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add nihe0909/xiaohongshu-ai-workbench

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Xiaohongshu Ai Workbench in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Xiaohongshu%20Ai%20Workbench%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/nihe0909-xiaohongshu-ai-workbench/install
Install command: npx skills add nihe0909/xiaohongshu-ai-workbench
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Xiaohongshu Ai Workbench for this task. Review https://www.openagentskill.com/api/skills/nihe0909-xiaohongshu-ai-workbench/install, then install with: npx skills add nihe0909/xiaohongshu-ai-workbench

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

98/100

Workflow automation

Platforms

Python, Claude Code, OpenAI Agents

Audit report

Safe to try · 93/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for Workflow automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

98
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Workflow automation

Trust label

Production-ready

Install path

Command ready

Use when

  • Workflow automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 99/100 quality profile

review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Workflow automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

84
OpenAgentSkill Trust Score

GitHub adoption

INFO

396 GitHub stars

Stars/forks activity

CHECK

396 stars, 37 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Stars/forks activity: 396 stars, 37 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

99
GitHub stars
396
Freshness
Today
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

# 小红书运营手册 · AI工作台

作者:王梦珂|畅销书《爆款》作者|好事发生 App 开发者

配套手册:https://xiaobot.net/p/xiaohongshuku

这是配合《小红书运营手册》使用的一组免费开源 Codex Skills,给有好产品、有真实经验、但不知道怎么把它讲清楚的人用。

手册负责讲判断。AI工作台负责帮你执行。

它来自好事引力长期做小红书诊断、内容策划和品牌表达时反复用到的工作流:标题、主页、选题、评论区、成交路径,都不应该靠灵感硬猜,而应该拆成可以检查、可以复用、可以交给 AI 执行的动作。

它不是手册的替代品,也不是公式库。项目不内置外部案例、外部公式库或第三方背书,也不承诺涨粉、爆款、成交或平台算法结果。每个 skill 只解决一个清晰工作流,适合独立安装,也可以组合使用。

## 适合谁

- 有产品、服务、工具、课程、作品或真实经验,但不知道怎么在小红书说清楚 - 自由职业者、个人 IP、服务号、产品号、小程序开发者和独立创作者 - 想把主页、标题、选题、评论和转化路径系统化,而不是每次从零开始 - 愿意基于真实输入改表达,不想用夸大承诺、搬运案例或伪爆款套路

## 不适合谁

- 想要保证涨粉、保证成交、保证爆款 - 想直接套用外部案例、名人语录或第三方背书 - 没有明确产品、服务、内容材料,只想让 AI 凭空编一个账号 - 只想追热点,不愿意把自己的用户、价值和交付讲清楚

## 第一批 Skills

| Skill | 用途 | 适合什么时候用 | |---|---|---| | `xiaohongshu-suite` | 母 skill,路由和组合工作流 | 不知道该先优化哪里,想要一整套小红书建议 | | `xiaohongshu-title` | 标题生成、标题诊断、标题优化 | 要起标题、改标题、判断标题方向 | | `xiaohongshu-profile` | 主页体检 + 简介改写 | 要看主页第一眼、定位、简介、置顶是否清楚 | | xiaohongshu-magazine | 定母题(刊魂)、设栏目、杂志感开枝散叶选题库 | 想把账号当一本杂志来办、搭可复用选题库 | | `xiaohongshu-topic-planner` | 选题策划和系列规划 | 要做选题池、系列内容、发布顺序 | | `xiaohongshu-comment-reply` | 评论区回复和置顶评论 | 要回复评论、引导讨论、处理质疑、引导私信 | | `xiaohongshu-conversion-path` | 成交路径设计 | 要把内容、主页、私信和产品转化连起来 |

## 推荐工作流

账号冷启动:

```text xiaohongshu-profile -> xiaohongshu-topic-planner -> xiaohongshu-title ```

发一篇新笔记:

```text xiaohongshu-topic-planner -> xiaohongshu-title -> xiaohongshu-comment-reply ```

想卖服务或产品:

```text xiaohongshu-profile -> xiaohongshu-conversion-path -> xiaohongshu-topic-planner -> xiaohongshu-title ```

笔记发出后运营评论区:

```text xiaohongshu-comment-reply ```

## 真实用法

自由职业者发布报价工具:

```text 用 xiaohongshu-topic-planner 给「才华报价计算器」做 7 天选题计划。目标用户是接项目不知道怎么报价的自由职业者。产品免费,希望用户体验、收藏、反馈和转发。 ```

服务型个人 IP 体检主页:

```text 用 xiaohongshu-profile 帮我体检主页。我的服务是品牌表达诊断,目标用户是有真实产品但小红书讲不清楚的创业者。 ```

免费小程序设计转化路径:

```text 用 xiaohongshu-conversion-path 设计从内容到体验小程序的路径。不要写成购买成交,目标是让用户愿意试用、收藏、反馈和分享。 ```

## 安装

如果只想直接使用,下载 `packages/` 里的 `.skill` 文件并导入 Codex。

第一批安装包:

- [xiaohongshu-suite.skill](packages/xiaohongshu-suite.skill) - [xiaohongshu-title.skill](p

Platform compatibility

pythonFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 4, 2026
Published
Aug 4, 2026

Frameworks & tools

Python

Decision snapshot

Primary pick

98
Ready
Adopt
Stage

recent repository activity

Audit

Install review

Install and adoption review

93
Safe to try
Security
89/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for Xiaohongshu Ai Workbench, ready for a manual X post.

Curator note
Xiaohongshu Ai Workbench: A collection of free Codex Skills for Xiaohongshu operations, covering title generation, prof...

396 stars

https://www.openagentskill.com/skills/nihe0909-xiaohongshu-ai-workbench?ref=x
Open X draft
Optional reply with install command
Listing + install path for Xiaohongshu Ai Workbench:
https://www.openagentskill.com/skills/nihe0909-xiaohongshu-ai-workbench?ref=x

Install: npx skills add nihe0909/xiaohongshu-ai-workbench

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
nihe0909
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to nihe0909 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/nihe0909-xiaohongshu-ai-workbench?metric=listed&label=Listed)](https://www.openagentskill.com/skills/nihe0909-xiaohongshu-ai-workbench)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/nihe0909-xiaohongshu-ai-workbench?metric=trust&label=Trust)](https://www.openagentskill.com/skills/nihe0909-xiaohongshu-ai-workbench)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/nihe0909-xiaohongshu-ai-workbench?metric=audit&label=Audit)](https://www.openagentskill.com/skills/nihe0909-xiaohongshu-ai-workbench/audit)
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Author

N

nihe0909

@nihe0909

Health signals

GitHub stars
396
Quality score
62/100
Last GitHub push
Aug 4, 2026
Framework hints
1
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Review then install

84
  • GitHub adoption396 GitHub starsINFO
  • Stars/forks activity396 stars, 37 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS