Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search_agents and get_agent tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that historically used agents. This skill reduces context window usage by ~95% compared to loading all agents upfront. --- name: agent-registry description: | MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search_agents and get_agent tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that hi Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
agent-registry is best for you, python, the workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search_agents and get_agent tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that historically used agents. This skill reduces context window usage by ~95% compared to loading all agents upfront. --- name: agent-registry description: | MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search_agents and get_agent tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that hi
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Hanzoskill
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Setup snapshot
git clone https://github.com/hanzoskill/agent-registry.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Hanzoskill
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
text
User Request → search_agents(intent) → select best match → get_agent(name) → execute with agent
bash
# Step 1: Search for relevant agents python scripts/search_agents.py "code review security authentication" # Output: # Found 2 matching agents: # 1. security-auditor (score: 0.89) - Analyzes code for security vulnerabilities # 2. code-reviewer (score: 0.71) - General code review and best practices # Step 2: Load the best match python scripts/get_agent.py security-auditor # Step 3: Follow loaded agent instructions for the task
bash
# NPX with add-skill (recommended) npx add-skill MaTriXy/Agent-Registry # OR npm directly npm install -g @claude-code/agent-registry
bash
# User-level installation ./install.sh # OR project-level installation ./install.sh --project
bash
cd ~/.claude/skills/agent-registry python scripts/init_registry.py
bash
pip3 install questionary
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search_agents and get_agent tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that historically used agents. This skill reduces context window usage by ~95% compared to loading all agents upfront. --- name: agent-registry description: | MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search_agents and get_agent tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that hi
Lazy-loading system for Claude Code agents. Eliminates the "~16k tokens" warning by loading agents on-demand.
NEVER assume agents are pre-loaded. Always use this registry to discover and load agents.
User Request → search_agents(intent) → select best match → get_agent(name) → execute with agent
| Command | When to Use | Example |
|---------|-------------|---------|
| list_agents.py | User asks "what agents do I have" or needs overview | python scripts/list_agents.py |
| search_agents.py | Find agents matching user intent (ALWAYS do this first) | python scripts/search_agents.py "code review security" |
| search_agents_paged.py | Paged search for large registries (300+ agents) | python scripts/search_agents_paged.py "query" --page 1 --page-size 10 |
| get_agent.py | Load a specific agent's full instructions | python scripts/get_agent.py code-reviewer |
python scripts/search_agents.py "<keywords>"python scripts/get_agent.py <agent-name>User: "Can you review my authentication code for security issues?"
# Step 1: Search for relevant agents
python scripts/search_agents.py "code review security authentication"
# Output:
# Found 2 matching agents:
# 1. security-auditor (score: 0.89) - Analyzes code for security vulnerabilities
# 2. code-reviewer (score: 0.71) - General code review and best practices
# Step 2: Load the best match
python scripts/get_agent.py security-auditor
# Step 3: Follow loaded agent instructions for the task
Quick Install (Recommended):
# NPX with add-skill (recommended)
npx add-skill MaTriXy/Agent-Registry
# OR npm directly
npm install -g @claude-code/agent-registry
Traditional Install:
# User-level installation
./install.sh
# OR project-level installation
./install.sh --project
What install.sh does:
~/.claude/skills/agent-registry/questionary Python package (for interactive UI)pip3 not availableNote: All installation methods support Python-based migration and CLI tools
Run the interactive migration script:
cd ~/.claude/skills/agent-registry
python scripts/init_registry.py
Interactive selection modes:
With questionary (recommended): Checkbox UI with category grouping, token indicators, and paging
Without questionary (fallback): Text-based number input
1,3,5)all to migrate everythingWhat init_registry.py does:
~/.claude/agents/ and .claude/agents/ for agent filesregistry.json)The installer automatically installs questionary. If installation fails or pip3 is unavailable, the migration script falls back to text-based input mode.
Manual installation:
pip3 install questionary
~/.claude/skills/agent-registry/.claude/skills/agent-registry/ (optional override)Agents not migrated remain in their original locations and load normally (contributing to token overhead).
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/snapshot"
curl -s "https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/contract"
curl -s "https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-16T23:30:00.836Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "you",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "python",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "the",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:you|supported|profile capability:python|supported|profile capability:the|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Hanzoskill",
"href": "https://github.com/hanzoskill/agent-registry",
"sourceUrl": "https://github.com/hanzoskill/agent-registry",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T02:13:10.113Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T02:13:10.113Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/hanzoskill-agent-registry/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to agent-registry and adjacent AI workflows.