remote-skill-engine

Cache and use skills from ClawHub and GitHub as if locally installed. Stores remote skills in local cache folder for offline use.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

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Install skill "remote-skill-engine" with this command: npx skills add oki3505F/remote-skill-engine

Remote Skill Engine

This skill enables you to discover, cache, and use skills directly from remote registries (ClawHub, GitHub, etc.). Skills are stored in ~/.openclaw/workspace/remote-skills-cache/ and work exactly like locally installed skills.

Core Capabilities

1. Skill Discovery & Search

Search across multiple registries:

# ClawHub search
clawhub search "<query>" --limit <n>

# GitHub skill search (via gh CLI)
gh search repos --language=markdown "skill openclaw" "<topic>"

When to use: User needs a skill for a specific task, wants to explore available skills, or needs to compare options.

2. Remote Skill Caching (KEY FEATURE)

Cache any remote skill to work EXACTLY like installed skills:

# Cache a skill from ClawHub
./scripts/cache-skill.sh clawhub://security-auditor

# Cache from GitHub
./scripts/cache-skill.sh github://owner/repo/branch

# Cache from direct URL
./scripts/cache-skill.sh https://raw.githubusercontent.com/.../SKILL.md

# List cached skills
clawhub list --cache

# Use cached skill (works like installed!)
# Just trigger it normally - it's in your skills path!

Cache Location: ~/.openclaw/workspace/remote-skills-cache/<skill-name>/

Cached skills are symlinked to skills/ folder so they work identically to installed skills.

3. Batch Cache Management

# Cache multiple skills at once
./scripts/cache-skills-batch.json skills-list.json

# Update all cached skills
./scripts/update-cached-skills.sh

# Remove cached skill
./scripts/uncache-skill.sh <skill-name>

# Show cache stats
./scripts/cache-stats.sh

4. Smart Sync & Updates

# Check for updates to cached skills
./scripts/check-updates.sh

# Sync specific skill to latest
./scripts/sync-skill.sh <skill-name>

# Auto-sync on skill trigger (configurable)
# Set in config.json: {"autoSync": true}

5. Offline Mode

Once cached, skills work WITHOUT internet:

  • All scripts available locally
  • References cached alongside SKILL.md
  • Assets downloaded and stored
  • No network calls needed

Workflows

NEW: Workflow 1 - Cache Remote Skill

Trigger: User says "Install/caching <skill-name>" or "Get <skill> from web"

# Step 1: Find the skill
clawhub search "<skill-name>" --limit 1

# Step 2: Cache it locally
python scripts/cache-skill.py <skill-name> <source-url>

# Step 3: Verify cache
ls ~/.openclaw/workspace/remote-skills-cache/<skill-name>/

# Step 4: Use it (works like installed!)
# Just use the skill normally - it auto-triggers from skills/

NEW: Workflow 2 - Batch Cache Skills List

Trigger: User wants multiple skills cached

// skills-to-cache.json
{
  "skills": [
    {"name": "security-auditor", "source": "clawhub://security-auditor"},
    {"name": "coding-agent", "source": "github://user/repo/main"}
  ]
}
./scripts/batch-cache.sh skills-to-cache.json

Workflow 3: Compare Multiple Skills (Enhanced)

Trigger: User says "Which skill is better for X?"

  1. Fetch metadata for each skill
  2. Check if cached, cache if not
  3. Create comparison with SOURCE + CACHE STATUS:
    | Skill | Version | Source | Cached | Last Sync |
    |-------|---------|--------|--------|-----------|
    | skill-a | 1.0.0 | ClawHub | ✅ | 2h ago |
    | skill-b | 2.1.0 | GitHub | ❌ | - |
    
  4. Recommend + offer to cache

Workflow 4: Sync Cached Skills

Trigger: Heartbeat or user says "Update cached skills"

# Check all cached skills for updates
./scripts/check-updates.sh

# Update outdated skills
./scripts/update-cached-skills.sh --auto

# Update specific skill
./scripts/sync-skill.sh <skill-name>

Workflow 5: Use Cached Skill (Transparent)

Trigger: User triggers any cached skill normally

  • Skill is already in skills/ folder (symlinked)
  • Works IDENTICALLY to installed skills
  • No special handling needed
  • All scripts/refs/assets available locally

Scripts

scripts/fetch-skill.py

Fetch a skill's SKILL.md and parse frontmatter without full download.

#!/usr/bin/env python3
"""Fetch remote skill metadata without full download."""
import requests
import yaml
import sys

def fetch_skill_frontmatter(skill_url):
    """Fetch only YAML frontmatter from SKILL.md"""
    resp = requests.get(skill_url, stream=True)
    content = ""
    in_frontmatter = False
    for line in resp.iter_lines():
        line = line.decode('utf-8')
        if line == '---':
            if not in_frontmatter:
                in_frontmatter = True
                continue
            else:
                break
        if in_frontmatter:
            content += line + '\n'
    
    try:
        return yaml.safe_load(content)
    except yaml.YAMLError as e:
        print(f"Parse error: {e}", file=sys.stderr)
        return None

if __name__ == "__main__":
    if len(sys.argv) != 2:
        print("Usage: fetch-skill.py <skill-url>")
        sys.exit(1)
    
    metadata = fetch_skill_frontmatter(sys.argv[1])
    if metadata:
        print(f"Name: {metadata.get('name', 'N/A')}")
        print(f"Description: {metadata.get('description', 'N/A')}")

Usage:

python scripts/fetch-skill.py "https://raw.githubusercontent.com/repo/SKILL.md"

scripts/compare-skills.py

Compare multiple skills side-by-side.

#!/usr/bin/env python3
"""Compare multiple remote skills."""
import json
import sys

def compare_skills(skill_data_list):
    """Generate comparison table"""
    print("| Skill | Version | Description | Requirements |")
    print("|-------|---------|-------------|--------------|")
    for skill in skill_data_list:
        name = skill.get('name', 'N/A')
        version = skill.get('version', 'N/A')
        desc = skill.get('description', '')[:80] + '...' if len(skill.get('description', '')) > 80 else skill.get('description', 'N/A')
        reqs = skill.get('requires', 'None')
        print(f"| {name} | {version} | {desc} | {reqs} |")

if __name__ == "__main__":
    # Read JSON from stdin
    skills = json.load(sys.stdin)
    compare_skills(skills)

References

references/registry-urls.md

Known skill registry endpoints:

ClawHub

  • Search: https://clawhub.com/api/skills/search?q=<query>
  • Skill detail: https://clawhub.com/api/skills/<name>
  • Raw SKILL.md: https://raw.githubusercontent.com/<owner>/<repo>/SKILL.md

GitHub

  • Search API: https://api.github.com/search/code?q=SKILL.md+openclaw
  • Raw file: https://raw.githubusercontent.com/<owner>/<repo>/<branch>/SKILL.md

Awesome Lists

  • https://raw.githubusercontent.com/openclaw/awesome-openclaw/main/README.md

references/skill-patterns.md

Common skill patterns to recognize:

Skill Types:

  • Tool wrappers - Provide CLI access to external tools (nmap, sqlmap, etc.)
  • Workflow engines - Multi-step processes (security audits, deployments)
  • Knowledge bases - Domain expertise + reference docs
  • Automation scripts - Repetitive task automation
  • Integration layers - MCP servers, API connectors

Metadata Patterns:

metadata:
  openclaw:
    requires:
      bins: ["tool-name"]  # Required binaries
    install:
      - kind: node  # or brew, apt, pip
        package: package-name

Usage Examples

Example 1: Find and Use Security Skill

User: "Find me a skill for web security scanning"

You:
1. clawhub search "web security" --limit 5
2. Present results
3. User picks "security-audit-toolkit"
4. Fetch SKILL.md, read workflows
5. Follow the skill's security audit process

Example 2: Temporary Skill Usage

User: "Use the coding agent to review my repo, but don't install it"

You:
1. Fetch coding agent SKILL.md from ClawHub
2. Read its code review workflow
3. Execute the workflow steps manually
4. Report findings

Example 3: Batch Discovery

User: "Show me all available skills"

You:
1. clawhub search "" --limit 100
2. Categorize by keywords
3. Present organized list:
   - Security (12 skills)
   - Coding (8 skills)
   - Automation (6 skills)
   - etc.

Best Practices

  1. Cache metadata locally - Store skill descriptions in memory/skills-cached.md to avoid repeated fetches
  2. Respect rate limits - Don't hammer ClawHub/GitHub APIs
  3. Verify skill sources - Only fetch from trusted registries
  4. Clean up temp files - Remove /tmp/remote-skill-* after use
  5. Track skill usage - Log which remote skills work well for future reference

Trigger Examples

When this skill activates:

  • "Find a skill for X"
  • "What skills do Y?"
  • "Use <skill-name> without installing"
  • "Compare skills for X"
  • "Show me available skills"
  • "What does <skill> do?"
  • "Is there a skill for X?"

Remote Skill Engine - Stream skills, don't install them. 🌐⚡

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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