What makes meme-digger notable?

2.2K downloads. Trust evidence available

How should meme-digger be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

meme-digger

网络梗考古与科普（刨根问底式）。连接贴吧（Tieba）与 B 站（Bilibili），针对用户问到的网络梗/抽象话/热梗，读取 B 站搜索、视频详情与评论区（含评论里的梗图），从评论中提取线索做发散式搜索，把 B 站、贴吧、评论、梗图、来源考证分文件收集，最后整合成一份带文字说明、梗图、来源介绍的综合科普报告。当用户问"这是什么梗 / 这个梗什么来历 / 这个说法哪来的"时使用。 Skill: meme-digger Owner: sgtbaixiao Summary: 网络梗考古与科普（刨根问底式）。连接贴吧（Tieba）与 B 站（Bilibili），针对用户问到的网络梗/抽象话/热梗，读取 B 站搜索、视频详情与评论区（含评论里的梗图），从评论中提取线索做发散式搜索，把 B 站、贴吧、评论、梗图、来源考证分文件收集，最后整合成一份带文字说明、梗图、来源介绍的综合科普报告。当用户问"这是什么梗 / 这个梗什么来历 / 这个说法哪来的"时使用。 Tags: latest:0.1.0 Version history: v0.1.0 | 2026-08-09T13:38:40.547Z | auto Initial release of "meme-digger". - Provides an in-depth workflow for internet meme investigation and doc

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.2k

Updated

Oct 9, 2026

Version

0.1.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.2K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.2K downloadsadoption · observed Oct 9, 2026
Latest release: 0.1.0release · observed Aug 9, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s172yq424m3anmm92ags91c9xx8c5ac5:meme-digger

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-sgtbaixiao-meme-digger/snapshot"

Documentation

CLAWHUB

14,675 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: meme-digger
description: 网络梗考古与科普（刨根问底式）。连接贴吧（Tieba）与 B 站（Bilibili），针对用户问到的网络梗/抽象话/热梗，读取 B 站搜索、视频详情与评论区（含评论里的梗图），从评论中提取线索做发散式搜索，把 B 站、贴吧、评论、梗图、来源考证分文件收集，最后整合成一份带文字说明、梗图、来源介绍的综合科普报告。当用户问"这是什么梗 / 这个梗什么来历 / 这个说法哪来的"时使用。
license: MIT
compatibility: pi, Claude Code, Codex, OpenCode（Agent Skills 标准）
metadata:
  author: Sgt_BaiXiao
  version: "1.0.0"
  homepage: https://github.com/SgtBaixiao/meme-digger
---

# Meme Digger — 网络梗考古与科普（刨根问底版）

梗的答案不在任何单一平台：起源往往在贴吧/论坛，走红靠 B 站/微博，二次创作散落各平台，**真正的线索常常藏在评论区里**（高赞评论是用户集体认知，评论里的名字/作品/梗图是发散搜索的起点）。本 skill 采用"**分文件收集 → 发散深挖 → 最终整合**"的刨根问底工作法，绝不编造出处，区分事实与网络传闻。

**脚本位置**：所有 `scripts/...` 路径相对本 skill 目录（即 SKILL.md 所在目录）。调用前先解析 skill 目录（Claude Code 可用 `${CLAUDE_SKILL_DIR}`；pi 等其它 agent 定位到 SKILL.md 所在目录即可），再以 `python <skill_dir>/scripts/xxx.py` 执行，不要在其它工作目录直接写相对路径。

## 工作区结构（每个梗一个目录）

在**当前工作目录**下创建 `meme-research/<梗名-slug>/`，所有调查产物分文件存放：

```
meme-research/<梗名>/
├── 00-计划.md               # 立项：关键词变体、假设、待查问题清单
├── 01-b站搜索.md             # B站搜索结果 + 候选视频详情
├── 02-b站评论区.md           # 评论区挖掘（高赞评论/线索/评论图片URL）
├── 03-贴吧.md                # 贴吧帖子与吧内讨论
├── 04-发散线索.md            # 从评论/视频中提取的线索 → 发散搜索的记录
├── 05-梗图.md                # 梗图图鉴：本地图/出处/含义/使用场景
├── images/                   # 下载到本地的梗图文件 + manifest.txt
├── 06-来源考证.md            # 每条关键论断的证据链与可信度评级
├── 报告-<梗名>.md            # 最终整合：文字说明 + 梗图 + 来源介绍
└── <梗名>-百科.html          # 第9步生成的单文件 Meme 百科页（最终交付物）
```

## 工作流程

### 第 1 步：立项（先想清楚再动手）

创建 `00-计划.md`，写清：
- **关键词变体**：原名 / 拼音缩写 / 英文名 / 表情包关键词 / 话题标签 / 近义梗（例："典" → `典`、`典中典`、`太典了`）。
- **待查问题清单**：它是什么？什么时候出现的？谁发明的？怎么火的？现在怎么用？衍生了什么？
- **假设**：先写下自己的初判（多义词时列多个义项），之后逐条验证或推翻。

### 第 2 步：B 站搜索（主通道）

```bash
python "scripts/bili_search.py" "<关键词>" --limit 10
```

- 对候选视频逐一取详情（发布时间 = 时间线证据）：

```bash
python "scripts/bili_video.py" "<bvid>"
```

- 把结果整理进 `01-b站搜索.md`。标记出"考古/科普/盘点"向视频（标题含科普/考古/溯源/梗百科/盘点）。

### 第 3 步：评论区深挖（本版核心，免登录）

对 **2-5 个关键视频** 挖掘评论区：

```bash
python "scripts/bili_comments.py" "<bvid>" --pages 3 --top 50 --min-like 20 --out "meme-research/<梗名>/02-b站评论区.md"
```

- 同时生成 `02-b站评论区.images.txt`（评论里的梗图 URL 清单）。
- **读评论看什么**：
  1. 高赞评论 = 大众对该梗的集体认知/用法示例。
  2. 评论里出现的**专有名词** = 发散线索（人名、up主、作品名、平台、事件、其他梗名）。
  3. 评论区吵什么 = 该梗的争议点。
- 把线索（含来源评论）登记到 `04-发散线索.md`。

### 第 4 步：贴吧采集（需 cookie，见下）

```bash
python "scripts/tieba_search.py" "<关键词>"
```

- **cookie 配置（B站 + 贴吧统一管理）**：复制 `config/cookies.json.example` 为 `config/cookies.json` 并填写，**推荐用配置向导**（自动验证 cookie 是否有效）：

```bash
python "scripts/config_cookies.py"                    # 交互式：粘贴 B站/贴吧 Cookie，自动验证后写入
python "scripts/config_cookies.py" --status           # 查看当前配置与有效性
python "scripts/config_cookies.py" --bili-cookie "..." --tieba-cookie "..."   # 命令行方式
```

- 获取方式：登录对应站点 → F12 → Network → 刷新 → 复制请求头的 Cookie 整段。
- B站 cookie 用于提升稳定性（评论/搜索默认免登录即可，有 cookie 更稳）；贴吧 cookie **必需**（否则 403 安全验证）。
- 贴吧价值：**起源考据**（最早帖子）、讨论语境、吧内黑话。
- 无 cookie 时降级：web_search `site:tieba.baidu.com <关键词>`（工具可用时）→ web_fetch 吧页 → 或明确告知用户"贴吧侧缺失"。

### 第 5 步：发散式搜索（刨根问底的引擎）

把 `04-发散线索.md` 里登记的**每一条线索**作为新关键

README.md

# meme-digger — 网络梗考古与科普（Agent Skill）

刨根问底式网络梗调查：连接贴吧与 B 站，从评论区挖线索做发散搜索，产出带证据链、时间线、梗图、来源介绍的单文件 Meme 百科 HTML。

遵循 [Agent Skills](https://agentskills.io) 开放标准，兼容 pi / Claude Code / Codex / OpenCode。

## 安装（各平台）

| 平台 | 方式 | 状态 |
|---|---|---|
| **pi** | 复制整个目录到 `~/.pi/agent/skills/meme-digger/` | ✅ 已安装 |
| **Claude Code** | `git clone https://github.com/SgtBaixiao/meme-digger ~/.claude/skills/meme-digger` | ✅ 可克隆 |
| **Codex / OpenCode** | 复制到 `~/.codex/skills/` / `~/.opencode/skills/` | ✅ 可克隆 |
| **Hugging Face CLI** | `hf skills add https://github.com/SgtBaixiao/meme-digger` | ⏳ 上架后 |
| **Agent Skill Hub** | `skhub add SgtBaixiao/meme-digger` | ⏳ 待导入（需账号） |
| **Skillstore** | `skillstore install meme-digger` | ⏳ 待提交（需账号） |

## 依赖

- Python ≥ 3.10，**仅标准库**，零第三方依赖
- B 站：免登录（搜索/详情/评论/图片全通）
- 贴吧：需 cookie（`python scripts/config_cookies.py` 配置向导，见 SKILL.md 第 4 步）

## 使用

直接问 agent"这是什么梗 / 这个梗什么来历"，或在支持 `/` 命令的客户端输入 `/meme-digger <梗名>`。

完整工作流（9 步：立项 → B站搜索 → 评论区深挖 → 贴吧采集 → 发散搜索 → 梗图收集 → 来源考证 → 整合报告 → Meme 百科 HTML）见 [SKILL.md](SKILL.md)。

## 结构

```
meme-digger/
├── SKILL.md                    # 方法论 + 9 步工作流 + 质量标准（入口）
├── scripts/                    # Python 标准库脚本套件
│   ├── bili_search.py          # B站搜索（免登录）
│   ├── bili_video.py           # 视频详情
│   ├── bili_comments.py        # 评论区深挖 + 梗图 URL 清单
│   ├── bili_memes.py           # 定向梗图挖掘（T1封面/T2高赞评分）
│   ├── bili_dl.py              # 图片下载（去重）
│   ├── tieba_search.py         # 贴吧搜索（需 cookie）
│   ├── config_cookies.py       # cookie 配置向导
│   ├── make_report.py          # 生成单文件 Meme 百科 HTML
│   └── common.py               # 共享模块
├── templates/encyclopedia.css  # 百科页样式模板
└── config/cookies.json.example # cookie 配置样例（真实 cookie 不入库）
```

## 安全与边界

- 不传播谣言、不教唆、不美化低俗内容；事实与网络传闻严格分标注
- 梗图仅下载用于分析，报告保留原图 URL 与出处，不声称版权
- 引用遵守"简短引用 + 链接"

## License

MIT © Sgt_BaiXiao

_meta.json

{
  "ownerId": "kn70zc8xyczzxmfzbjft9gveks8c4j27",
  "slug": "meme-digger",
  "version": "0.1.0",
  "publishedAt": 1786282720547
}

skill-card.md

## Description:

Meme Digger helps agents research internet memes by collecting evidence from Bilibili, Tieba, comments, images, and source trails, then producing an evidence-based explainer report.

This skill is ready for commercial/non-commercial use.

## Publisher:

[sgtbaixiao](https://clawhub.ai/user/sgtbaixiao)

### License/Terms of Use:

MIT

## Use Case:

External users and developers use this skill when they ask what an internet meme means, where it came from, how it spread, and which evidence supports the explanation. The skill guides an agent through search, comment review, image collection, source checking, and final report generation.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill may require Bilibili or Tieba session cookies, which are account credentials.

Mitigation: Prefer environment variables over repo-local cookie files, restrict cookie file permissions, avoid passing cookies on the command line, and delete or rotate cookies after use.

Risk: Generated Markdown or HTML reports may embed local files or active content.

Mitigation: Review generated reports before sharing them and remove unexpected local-file references or active content.

Risk: Downloaded images and meme evidence can include copyrighted, misleading, or sensitive material.

Mitigation: Use downloaded images for analysis, retain source attribution, separate fact from rumor, and manually review uncertain images before including them.

## Reference(s):

- [Server-resolved source repository](https://github.com/SgtBaixiao/meme-digger)
- [ClawHub skill page](https://clawhub.ai/sgtbaixiao/skills/meme-digger)
- [Agent Skills open standard](https://agentskills.io)

## Skill Output:

**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance, HTML]

**Output Format:** [Markdown reports, structured text files, shell commands, configuration guidance, image manifests, and self-contained HTML]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Outputs are organized into a per-meme research workspace and may include downloaded meme images for analysis.]

## Skill Version(s):

0.1.0 (source: ClawHub release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

LICENSE

MIT License

Copyright (c) 2026 Sgt_BaiXiao

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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