Skip to content
Agentmart
Submit a tool

weibo-interactive

微博互动内容分析工具。获取收到的评论列表、获取自己某条微博的所有评论, 并提供互动回复建议分析能力,根据关注关系和认证状态筛选最值得回复的评论。 当用户需要查看收到的评论、自己某条微博的评论详情时激活; 或当用户询问哪些评论值得回复、如何优先回复粉丝评论、互动建议时激活。

Skill by wecode-ai

IndexedApache-2.0★ 39
Write a review

Chalk Labs

Need help deploying weibo-interactive?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/wecode-ai-weibo-interactive

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

微博互动内容分析工具。获取收到的评论列表、获取自己某条微博的所有评论, 并提供互动回复建议分析能力,根据关注关系和认证状态筛选最值得回复的评论。 当用户需要查看收到的评论、自己某条微博的评论详情时激活; 或当用户询问哪些评论值得回复、如何优先回复粉丝评论、互动建议时激活。

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Node.js package

Network hosts it talks to 2

  • codeload.github.com · found in install command
  • open-im.api.weibo.com · found in code

Files it touches

  • ~/.claude/skills/weibo-interactive

What's inside

Skill name
weibo-interactive
Description
微博互动内容分析工具。获取收到的评论列表、获取自己某条微博的所有评论, 并提供互动回复建议分析能力,根据关注关系和认证状态筛选最值得回复的评论。 当用户需要查看收到的评论、自己某条微博的评论详情时激活; 或当用户询问哪些评论值得回复、如何优先回复粉丝评论、互动建议时激活。
License
Apache-2.0
Metadata
version: 1.0.0
Instructions
299 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (2)

  • SKILL.md
  • weibo-interactive.js · scripts/

SKILL.md (first lines)

# 微博互动内容分析工具

帮助博主发现最值得回复的评论,促进与粉丝之间的真实互动。通过分析评论者的关注关系和认证状态,智能排序推荐优先回复的评论,让每一次互动都更有价值。

## 脚本调用方式

### 获取收到的评论列表

```bash
node scripts/weibo-interactive.js comments-to-me --token=<token> --uid=<uid>
```

### 获取自己某条微博的所有评论

```bash
node scripts/weibo-interactive.js comments-show --token=<token> --uid=<uid> --id=<weibo_id>
```

**参数说明**:

| 参数 | 必填 | 说明 |
|------|------|------|
| `--token` | 是 | 微博 API 访问令牌,通过 `weibo_token` 工具获取 |
| `--uid` | 是 | 用户 uid |
| `--id` | comments-show 必填 | 微博 ID(博文 ID) |

---

## 返回数据结构

### 1. 收到的评论列表

接口路径:`GET /open/interactive/comments/to_me`

返回的 `data` 字段包含以下内容:

#### `data.comments` — 评论列表(数组)

| 字段 | 类型 | 说明 |
|------|------|------|
| `createdAt` | string | 评论创建时间(如 "Mon Jun 15 16:14:47 +0800 2026") |
| `id` | string | 评论 ID |
| `mid` | string | 评论 mid |
| `postJumpLink` | string | 原博跳转链接(如 "https://weibo.com/1985772915/5305687166161572") |
| `text` | string | 评论内容 |
| `user` | object | 评论用户信息(见下表) |

#### `data.comments[].user` — 评论用户信息

| 字段 | 类型 | 说明 |
|------|------|------|
| `followMe` | boolean | 是否是我的粉丝(true=该用户关注了我) |
| `following` | boolean | 是否我关注了该用户(true=我关注了该用户) |
| `id` | string | 用户 ID |
| `name` | string | 用户昵称 |
| `verified` | boolean | 是否认证用户(true=认证用户,可能是大V) |

#### `data.count` — 评论总数

| 字段 | 类型 | 说明 |
|------|------|------|
| `count` | number | 评论总数 |

#### `data.msg` — 查询结果消息

| 字段 | 类型 | 说明 |
|------|------|------|
| `msg` | string | 查询结果消息(如 "查询成功") |

---

### 2. 自己某条微博的所有评论

接口路径:`GET /open/interactive/comments/show`

返回结构与"收到的评论列表"一致,区别在于返回的是自己指定微博 ID 下的所有评论。

#### `data.comments` — 该微博的评论列表(数组)

结构与"收到的评论列表"中的 `data.comments` 相同。

---

## 使用示例

```bash
# 获取收到的评论列表
node scripts/weibo-interactive.js comments-to-me --token=<your_token> --uid=<your_uid>

# 获取自己某条微博的所有评论
node scripts/weibo-interactive.js comments-show --token=<your_token> --uid=<your_uid> --id=<weibo_id>

# 查看帮助
node scripts/weibo-interactive.js help
```

返回示例(comments-to-me):

```json
{
  "code": 0,
  "data": {
    "code": 0,
    "comments": [
      {
        "createdAt": "Mon Jun 15 16:14:47 +0800 2026",
        "id": "5310105566577890",
        "mid": "5310105566577890",
        "postJumpLink": "https://weibo.com/<uid>/<mid>",
        "text": "评论内容...",
        "user": {
          "followMe": false,
          "following": false,
          "id": "用户ID",
          "name": "用户昵称",
          "verified": false
        }
      }
    ],

From wecode-ai/openclaw-weibo, Apache-2.0.

More from wecode-ai/openclaw-weibo

Signals

Stars
39
Forks
7
Open issues
2
Last commit (this folder)
Jun 16, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from wecode-ai

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get weibo-interactive running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying weibo-interactive?

CallGet help
Cite this page

weibo-interactive skill. Agent Mart. https://agentmart.dev/skills/wecode-ai-weibo-interactive (last updated 2026-10-24)