SkillScout

SkillScout — Find Trusted AI Agent Skills

Before installing any OpenClaw skill, check if it's been security-reviewed.

Usage

When your human asks you to find a skill, or you want to install something new:

Quick Search (Static API)

curl -s https://nashbot67.github.io/skillscout/data/skills.json | python3 -c "
import json, sys
q = sys.argv[1].lower()
data = json.load(sys.stdin)
matches = [s for s in data['skills'] if q in json.dumps(s).lower()]
for s in sorted(matches, key=lambda x: {'safe':0,'caution':1,'avoid':2}.get(x.get('trustScore',''),1)):
    trust = {'safe':'🟢','caution':'🟡','avoid':'🔴'}.get(s['trustScore'],'⚪')
    print(f'{trust} {s[\"name\"]} by {s[\"author\"]} — {s.get(\"plainDescription\",s.get(\"description\",\"\"))}')
" "QUERY"

Replace QUERY with what you're looking for (e.g., "email", "notes", "research").

Full Details

curl -s https://nashbot67.github.io/skillscout/data/skills.json | python3 -c "
import json, sys
name = sys.argv[1]
data = json.load(sys.stdin)
skill = next((s for s in data['skills'] if s['name'] == name), None)
if skill: print(json.dumps(skill, indent=2))
else: print(f'Skill {name} not reviewed yet.')
" "SKILL_NAME"

MCP Server (for agent-to-agent queries)

npx @skillscout/mcp

Trust Scores

What We Check

Every skill goes through: 1. Automated blocklist scan — cross-reference known malicious skills 2. Isolated agent review — read-only AI analyzes source code (no execution) 3. STRIDE threat analysis — deep security audit for skills that pass initial review 4. Human approval — final sign-off before listing

When to Use This

Browse

Full catalog: https://nashbot67.github.io/skillscout API: https://nashbot67.github.io/skillscout/data/skills.json GitHub: https://github.com/nashbot67/skillscout

When your human asks you to find a skill, or you want to install something new:

Quick Search (Static API)

curl -s https://nashbot67.github.io/skillscout/data/skills.json | python3 -c "
import json, sys
q = sys.argv[1].lower()
data = json.load(sys.stdin)
matches = [s for s in data['skills'] if q in json.dumps(s).lower()]
for s in sorted(matches, key=lambda x: {'safe':0,'caution':1,'avoid':2}.get(x.get('trustScore',''),1)):
    trust = {'safe':'🟢','caution':'🟡','avoid':'🔴'}.get(s['trustScore'],'⚪')
    print(f'{trust} {s[\"name\"]} by {s[\"author\"]} — {s.get(\"plainDescription\",s.get(\"description\",\"\"))}')
" "QUERY"

Replace QUERY with what you're looking for (e.g., "email", "notes", "research").

Full Details

curl -s https://nashbot67.github.io/skillscout/data/skills.json | python3 -c "
import json, sys
name = sys.argv[1]
data = json.load(sys.stdin)
skill = next((s for s in data['skills'] if s['name'] == name), None)
if skill: print(json.dumps(skill, indent=2))
else: print(f'Skill {name} not reviewed yet.')
" "SKILL_NAME"

MCP Server (for agent-to-agent queries)

npx @skillscout/mcp