OpenClaw

gmail-cleaner

Clean and organize Gmail accounts in bulk. Use when asked to clean Gmail, remove spam, trash newsletters/promotional emails, bulk-delete emails by sender, create labels, set up auto-filters, or restore emails from trash. Handles single or multiple Gmail accounts via OAuth token files. Works with any Gmail account using the Gmail API.

cedarscy0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install cedarscy/gmail-cleaner

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Gmail Cleaner

Bulk Gmail cleanup using the Gmail API. Processes 1000 messages per API call.

Prerequisites

google-api-python-client, google-auth-oauthlib Python packages (scripts auto-install if missing)
OAuth credentials JSON from Google Cloud Console (Desktop app type)
Token files stored as .pkl files per account

Workflow

1. Auth (first time or new account)

python scripts/auth.py --credentials /path/to/credentials.json --token /path/to/token.pkl --scopes settings

basic scopes: read/modify/delete messages + labels
settings scopes: adds gmail.settings.basic (required for creating filters)
Default token path: ~/.openclaw/workspace/gmail_token.pkl
Default creds path: ~/.openclaw/workspace/gmail_credentials.json

For a second account, specify a different --token path (e.g., gmail_token_work.pkl).

2. Scan (identify what to clean)

python scripts/scan.py --token /path/to/token.pkl --sample 500

Shows inbox counts by category + top 40 senders. Run this first.

3. Clean (bulk trash/delete)

# Trash specific senders:
python scripts/clean.py --from "spam@example.com,news@example.org"

# Trash by Gmail search query:
python scripts/clean.py --query "category:promotions older_than:30d"

# From a JSON config file (list of {query, label}):
python scripts/clean.py --config senders.json

# Permanently delete instead of trash:
python scripts/clean.py --from "spam@example.com" --delete

# Dry run first:
python scripts/clean.py --from "spam@example.com" --dry-run

4. Deep Clean (comprehensive)

# Full deep clean (4 steps: trash promos → archive old → mark read → purge trash):
python scripts/deep_clean.py

# Custom age thresholds:
python scripts/deep_clean.py --promo-days 7 --archive-days 30 --unread-days 14

# Skip trash purge (keep trash for 30-day auto-delete):
python scripts/deep_clean.py --skip-trash-purge

5. Organize (labels + filters)

# Apply built-i...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/cedarscy/gmail-cleaner
Version: —
Commit: 472c54113ea3b238d8be799d8e1e82fe44847e65
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Gmail Cleaner

Bulk Gmail cleanup using the Gmail API. Processes 1000 messages per API call.

## Prerequisites

- `google-api-python-client`, `google-auth-oauthlib` Python packages (scripts auto-install if missing)
- OAuth credentials JSON from Google Cloud Console (Desktop app type)
- Token files stored as `.pkl` files per account

## Workflow

### 1. Auth (first time or new account)

```bash
python scripts/auth.py --credentials /path/to/credentials.json --token /path/to/token.pkl --scopes settings
```

- `basic` scopes: read/modify/delete messages + labels  
- `settings` scopes: adds `gmail.settings.basic` (required for creating filters)  
- Default token path: `~/.openclaw/workspace/gmail_token.pkl`
- Default creds path: `~/.openclaw/workspace/gmail_credentials.json`

For a second account, specify a different `--token` path (e.g., `gmail_token_work.pkl`).

### 2. Scan (identify what to clean)

```bash
python scripts/scan.py --token /path/to/token.pkl --sample 500
```

Shows inbox counts by category + top 40 senders. Run this first.

### 3. Clean (bulk trash/delete)

```bash
# Trash specific senders:
python scripts/clean.py --from "spam@example.com,news@example.org"

# Trash by Gmail search query:
python scripts/clean.py --query "category:promotions older_than:30d"

# From a JSON config file (list of {query, label}):
python scripts/clean.py --config senders.json

# Permanently delete instead of trash:
python scripts/clean.py --from "spam@example.com" --delete

# Dry run first:
python scripts/clean.py --from "spam@example.com" --dry-run
```

### 4. Deep Clean (comprehensive)

```bash
# Full deep clean (4 steps: trash promos → archive old → mark read → purge trash):
python scripts/deep_clean.py

# Custom age thresholds:
python scripts/deep_clean.py --promo-days 7 --archive-days 30 --unread-days 14

# Skip trash purge (keep trash for 30-day auto-delete):
python scripts/deep_clean.py --skip-trash-purge
```

### 5. Organize (labels + filters)

```bash
# Apply built-i...

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