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vps-cleanup

Systematic VPS cleanup — analyze files, categorize by importance, safely delete temporary/old data to free disk space

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Atualizado há 5 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add kevinnft/ai-agent-skills

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VPS Cleanup

Systematic approach to cleaning up VPS disk space — analyze files, categorize by importance, safely delete temporary/old data without losing critical files.

When to Use

  • User asks "apa yang gak penting?" or "what can I delete?"
  • Disk space running low (> 80% used)
  • Home directory cluttered with temporary files
  • After completing projects (cleanup workspace)

Workflow

Phase 1: Analyze Current State

# Check disk usage
df -h /

# Analyze home directory
cd /home/ubuntu
du -sh * 2>/dev/null | sort -h

# Check large directories
du -h --max-depth=1 | sort -h | tail -20

Phase 2: Categorize Files

For each file/directory, assess:

| Category | Keep? | Examples | |----------|-------|----------| | Backups | ✅ Keep | .zip, .tar.gz with "backup" in name | | System | ✅ Keep | snap/, .cache/, .local/ | | Active projects | ✅ Keep | Current development work | | Temporary workspaces | ❌ Delete | Analysis folders, test directories | | Old archives | ❌ Delete | Extracted folders + their .tar.gz (duplicates) | | Generated outputs | 🟡 Optional | PNGs, reports (if source exists) | | Source files | 🟡 Optional | .html if .png generated, .drawio if exported |

Phase 3: Build Decision Matrix

Create analysis table:

files = {
    'file.zip': {
        'size': '135M',
        'type': 'backup',
        'keep': True,
        'reason': 'Important backup'
    },
    'temp-workspace/': {
        'size': '538M',
        'type': 'workspace',
        'keep': False,
        'reason': 'Temporary analysis, reports done'
    },
    # ... more files
}

Calculate:

  • Total size
  • Deletable size
  • Keep size
  • Percentage reclaimable

Phase 4: Present Analysis

Show user:

  1. Summary stats (total, keep, delete, %)
  2. Keep list (sorted by size, with reasons)
  3. Delete list (sorted by size, with reasons)
  4. Recommendations (phased approach)

Format:

✅ KEEP (IMPORTANT)
  135M  backup.zip        Important backup
  2.4M  snap/             System directory

❌ CAN DELETE (NOT IMPORTANT)
  538M  temp-workspace/   Temporary, work done
  1.2M  diagrams/         PNGs generated

Phase 5: Confirm with User

CRITICAL: Always confirm before deleting, especially for:

  • Large directories (> 100 MB)
  • Project directories (might have uncommitted work)
  • Anything user-created (not system files)

Ask:

  • "Mau gue delete sekarang?" (Want me to delete now?)
  • "Ada yang mau keep?" (Anything you want to keep?)

Phase 6: Safe Deletion

# Delete directories
rm -rf ~/temp-workspace/
rm -rf ~/old-project/

# Delete files
rm ~/old-archive.tar.gz
rm ~/report.md

# Verify
ls -lh ~/
df -h /

Safety checks:

  • Use rm -rf only for confirmed directories
  • Delete one category at a time (easier to undo if mistake)
  • Verify disk space freed after deletion

User Preference Patterns

For "Delete All Unimportant"

When user says "delete semua yang gak penting" or "delete all unimportant":

DO:

  • ✅ Analyze and categorize first
  • ✅ Present full list with reasons
  • ✅ Ask about ambiguous items (projects, large files)
  • ✅ Delete after confirmation

DON'T:

  • ❌ Delete immediately without analysis
  • ❌ Skip showing what will be deleted
  • ❌ Delete backups or system files
  • ❌ Delete active projects without asking

For Safety Confirmation

When presenting cleanup plan, user may respond:

  • "Aman di bersihkan?" (Safe to clean?) → User wants reassurance
  • ✅ Confirm: "100% AMAN" + list what won't be deleted
  • ✅ Explain worst-case scenario (e.g., "cache can be regenerated")
  • ✅ Emphasize zero data loss
  • ✅ Then ask: "Gas cleanup?" (Ready to proceed?)
  • "Ya" (Yes) → Proceed immediately
  • ✅ Execute cleanup commands
  • ✅ Show progress for each step
  • ✅ Verify results (before/after disk usage)
  • ✅ Celebrate success: "✅ Cleanup complete! Freed XMB"

User's decision-making pattern:

  1. Asks for analysis → wants to see what's unused
  2. Asks "aman?" → wants safety confirmation
  3. Says "ya" → ready to execute
  4. Expects immediate action after confirmation (no further questions)

For Ambiguous Items

Projects (e.g., oh-my-china/):

🟡 AMBIGUOUS: oh-my-china/ (340 MB)
   Type: Project
   Question: "Masih aktif develop atau cuma testing?"
   
   If active → KEEP
   If testing → DELETE

Generated outputs:

🟡 OPTIONAL: diagram.png (4 MB)
   Type: Output
   Question: "Masih perlu atau gak?"
   
   If needed → KEEP
   If done → DELETE

Common File Types

Temporary Workspaces (DELETE)

Patterns:

  • -analysis/, -test/, *-workspace/
  • Cloned repos for one-time analysis
  • Temporary diagram folders

Indicators:

  • Reports already generated
  • Work completed
  • No uncommitted changes

Example:

hermes-analysis/  # 538 MB
├─ 10 cloned repos
├─ ANALYSIS_REPORT.md (done)
└─ install script (used)

→ DELETE (reports done, repos installed elsewhere)

Old Archives + Extracted (DELETE)

Pattern: Both .tar.gz AND extracted folder exist

Example:

gmail_research/              # 100 KB (extracted)
gmail_research_2026-05-01.tar.gz  # 20 KB (archive)

→ DELETE BOTH (duplicate, old data)

Temporary Reports (DELETE)

Patterns:

  • *_REPORT.md, *_AUDIT.md
  • Generated for one-time review
  • Info already applied

Example:

VPS_SECURITY_AUDIT_REPORT.md      # 12 KB
VPS_SECURITY_HARDENING_REPORT.md  # 12 KB

→ DELETE (hardening done, info applied)

Source Files (OPTIONAL)

Pattern: Source exists, output generated

Example:

ai-promo.html     # 16 KB (source)
ai-promo.png      # 4 MB (output)

→ DELETE SOURCE (output is final)

Backups (KEEP)

Patterns:

  • -backup-.zip, *.tar.gz with dates
  • Named with "backup" or "archive"

Example:

hermes-backup-2026-05-03.zip  # 135 MB

→ KEEP (important backup!)

System Directories (KEEP)

Patterns:

  • snap/, .cache/, .local/, .config/
  • Hidden directories (.hermes/, .ssh/)

Example:

snap/        # 2.4 MB
.hermes/     # 2.6 GB

→ KEEP (system/application data)

Resource Evaluation for Tool Installation

CRITICAL: Before recommending ANY tool installation, evaluate resource cost against VPS constraints.

VPS Resource Constraints (User: ryzen, VPS: 2GB RAM, 40GB disk)

User tolerance:

  • ❌ ZERO tolerance for heavy tools
  • ❌ Disk > 500 MB = instant rejection
  • ❌ RAM > 100 MB = ask first or find lightweight alternative
  • ✅ Prefer API/cloud services over local installation

Evaluation criteria:

| Resource | Threshold | Action | |----------|-----------|--------| | Disk < 50 MB | ✅ Safe | Install without asking | | Disk 50-500 MB | 🟡 Moderate | Ask first, explain cost | | Disk > 500 MB | 🔴 Heavy | Find alternative or skip | | RAM < 50 MB | ✅ Safe | Install without asking | | RAM 50-100 MB | 🟡 Moderate | Ask first, explain cost | | RAM > 100 MB | 🔴 Heavy | Find alternative or skip |

Example rejection (Scrapling, session 2026-05-12):

User: "Cek Scrapling bagus gak?"
Analysis:
- Disk: 650-900 MB (7.0 MB library + browser dependencies)
- RAM: 200-400 MB per session (browser automation)
- VPS: 2GB RAM, 40GB disk
- Features: Powerful (adaptive parsing, Cloudflare bypass, spider framework)

Comparison with TinyFish:
- TinyFish: 0 MB disk, 0 MB RAM (cloud API)
- Scrapling: 650-900 MB disk, 200-400 MB RAM (local)

User response: "gede banget makan emori dan ram"
Decision: SKIP ❌ → Recommend TinyFish instead

Lesson: User has ZERO tolerance for heavy tools.
Always check resource cost BEFORE recommending.
When tool is heavy, immediately suggest lightweight alternative (API/cloud).

User's exact rejection pattern:

  • "gede banget makan emori dan ram" = instant rejection, no discussion
  • When user says this, STOP immediately — don't offer workarounds, don't suggest "minimal install", don't
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