Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
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, cr...
skill openclawclawhub Free
Clean and organize Gmail accounts in bulk. Use when asked to clean Gmail, remove spam, trash newsletters/promotional emails, bulk-delete emails by sender, cr...
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Install for OpenClaw
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Package facts
- Download mode
- Manual review
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- scripts/auth.py, scripts/clean.py, scripts/deep_clean.py, scripts/organize.py, scripts/restore.py, scripts/scan.py
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- cedarscy
- Source page
- View original listing
- Canonical URL
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Documentation
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
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 โ archive old โ mark read โ 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-in label set (Business, Banking, Tech, Personal, Trading, Social): python scripts/organize.py # Custom labels/rules/filters from JSON: python scripts/organize.py --config labels.json # Labels only (no filters): python scripts/organize.py --skip-filters
6. Restore (rescue emails from trash)
# Restore all emails from a sender + apply a label: python scripts/restore.py --from healthbeat@mail.health.harvard.edu --label "Harvard Health" # Restore by query: python scripts/restore.py --query "from:apple.com in:trash" --label "Tech/Apple"
Multiple Accounts
Run each script with a different --token path per account: python scripts/scan.py --token ~/.openclaw/workspace/gmail_token_personal.pkl python scripts/scan.py --token ~/.openclaw/workspace/gmail_token_work.pkl python scripts/deep_clean.py --token ~/.openclaw/workspace/gmail_token_work.pkl
Common Patterns
Full cleanup for one account: python scripts/auth.py --scopes settings python scripts/scan.py # identify top senders python scripts/clean.py --from "..." # trash specific senders python scripts/deep_clean.py # clean categories python scripts/organize.py # create labels + filters Rescue important emails caught in bulk delete: python scripts/restore.py --from important@example.com --label "Important" Senders config file format for clean.py --config: [ {"query": "from:temu@eu.temuemail.com", "label": "Temu"}, {"query": "category:promotions older_than:7d", "label": "Old Promos"} ]
Notes
batchModify moves to TRASH โ Gmail auto-purges after 30 days batchDelete is permanent and irreversible โ always dry-run first Gmail filter creation requires gmail.settings.basic scope โ re-auth with --scopes settings if filters fail with 403 scan.py samples N messages; large inboxes may need --sample 2000 for accuracy Credentials JSON comes from Google Cloud Console โ APIs & Services โ Credentials โ OAuth 2.0 โ Desktop โ Download JSON
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Scripts
- scripts/auth.py
- scripts/clean.py
- scripts/deep_clean.py
- scripts/organize.py
- scripts/restore.py
- scripts/scan.py