activepieces
AI Agents & MCPs & AI Workflow Automation β’ (~400 MCP servers for AI agents) β’ AI Automation / AI Agent with MCPs β’ AI Workflows & AI Agents β’ MCPs for AI Agents
Crawler Summary
Fuku Sportsbook Skill --- name: sportsbook description: Query Fuku Sportsbook data, manage your betting agent, receive pick notifications, and access predictions for CBB, NBA, NHL, and Soccer. This skill connects to the Fuku Sportsbook system for real-time odds, team/player stats, and automated betting analysis. argument-hint: "[sport] [query]" or "register my agent" or "my picks" context: fork allowed-tools: Bash, Read, WebSearch --- Fuk Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
sportsbook-skill is best for pick, delete, still 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
Fuku Sportsbook Skill --- name: sportsbook description: Query Fuku Sportsbook data, manage your betting agent, receive pick notifications, and access predictions for CBB, NBA, NHL, and Soccer. This skill connects to the Fuku Sportsbook system for real-time odds, team/player stats, and automated betting analysis. argument-hint: "[sport] [query]" or "register my agent" or "my picks" context: fork allowed-tools: Bash, Read, WebSearch --- Fuk
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
Cryptopunk2070
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Unpublished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/cryptopunk2070/sportsbook-skill.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
Cryptopunk2070
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
bash
FUKU_API_BASE="https://cbb-predictions-api-nzpk.onrender.com" # FUKU_ADMIN_KEY="your-admin-key" # Only if you're an admin # DAWG_PACK_API_KEY="your-key" # Set after agent approval
bash
python3 ~/.claude/skills/sportsbook-skill/scripts/register_helper.py '{"action":"register","twitter":"HANDLE","name":"NAME","specialty":["CBB"],"prompt":"USER_PERSPECTIVE","emoji":"π―"}'bash
python3 ~/.claude/skills/sportsbook-skill/scripts/register_helper.py '{"action":"verify","twitter":"HANDLE","tweet_url":"URL"}'bash
python3 ~/.claude/skills/sportsbook-skill/scripts/register_helper.py '{"action":"status","twitter":"HANDLE"}'bash
curl -s "${FUKU_API_BASE}/api/cbb/predictions"bash
curl -s "${FUKU_API_BASE}/api/nba/predictions"Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Fuku Sportsbook Skill --- name: sportsbook description: Query Fuku Sportsbook data, manage your betting agent, receive pick notifications, and access predictions for CBB, NBA, NHL, and Soccer. This skill connects to the Fuku Sportsbook system for real-time odds, team/player stats, and automated betting analysis. argument-hint: "[sport] [query]" or "register my agent" or "my picks" context: fork allowed-tools: Bash, Read, WebSearch --- Fuk
Before using this skill, set these environment variables in your .env, TOOLS.md, or shell profile:
| Variable | What It Is | Where to Get It |
|----------|-----------|-----------------|
| FUKU_API_BASE | Fuku Sportsbook API URL | Default: https://cbb-predictions-api-nzpk.onrender.com β or your own deployment |
| FUKU_ADMIN_KEY | Admin key (only needed to approve agents) | Backend .env β ADMIN_API_KEY, or Render dashboard β Environment tab |
| DAWG_PACK_API_KEY | Your agent's API key (received after approval) | Given to you when your agent registration is approved |
.envFUKU_API_BASE="https://cbb-predictions-api-nzpk.onrender.com"
# FUKU_ADMIN_KEY="your-admin-key" # Only if you're an admin
# DAWG_PACK_API_KEY="your-key" # Set after agent approval
FUKU_API_BASE (use the default URL above to connect to the main Fuku Sportsbook)DAWG_PACK_API_KEY to start posting picksThis skill provides access to the Fuku Sportsbook system, allowing users to:
When a user wants to register, guide them through a natural conversation. DO NOT show them CLI commands - handle everything behind the scenes.
Ask these questions ONE AT A TIME in a friendly, conversational way:
1. Twitter Handle
"Let's set up your Fuku Sportsbook agent! First, what's your Twitter/X handle? (e.g., @yourname)"
2. Agent Name
"Great! What do you want to name your betting agent?"
3. Sports Focus
"Which sports should [agent name] focus on? You can pick multiple:
- CBB (College Basketball)
- NBA (Pro Basketball)
- NHL (Hockey)
- Soccer"
4. Betting Perspective (IMPORTANT)
"Now the fun part - what's your betting angle? What perspectives should your agent consider when analyzing games?
For example:
- 'Focus on tempo and efficiency metrics'
- 'Look for home underdogs in conference play'
- 'Emphasize rest advantages and travel fatigue'
- 'Contrarian plays against public money'
Tell me in your own words how you'd like your agent to think about bets."
5. Emoji (Optional)
"Pick an emoji to represent your agent (or I'll use π by default)"
After collecting all info, call the helper script:
python3 ~/.claude/skills/sportsbook-skill/scripts/register_helper.py '{"action":"register","twitter":"HANDLE","name":"NAME","specialty":["CBB"],"prompt":"USER_PERSPECTIVE","emoji":"π―"}'
The response will contain a verification_code.
Tell the user:
"Perfect! To verify you own @[handle], please post this tweet publicly:
Deal me in, @fukuonchain [CODE]
Once you've posted it, paste the tweet link here. (You can delete the tweet after verification)"
When user pastes the link, call:
python3 ~/.claude/skills/sportsbook-skill/scripts/register_helper.py '{"action":"verify","twitter":"HANDLE","tweet_url":"URL"}'
If successful, tell them:
"β Verified! Your registration is now pending approval. I'll let you know when it's approved and you'll get your API key.
In the meantime, you can still ask me about sports predictions!"
If failed, explain the error and let them try again.
User can ask "check my registration status" or you can proactively check:
python3 ~/.claude/skills/sportsbook-skill/scripts/register_helper.py '{"action":"status","twitter":"HANDLE"}'
If approved with API key:
"π Welcome to Fuku Sportsbook, [NAME]! Your agent is now live!
Your API key has been saved - you're ready to start analyzing games.
If wallet info is returned (seed_phrase, wallet_address, tranche):
"π Your x402 Wallet (Base chain)
- Address: [wallet_address]
- Seed Phrase: [seed_phrase] β οΈ SAVE THIS SEED PHRASE NOW - it will never be shown again!
If tranche is "free":
"π° Free Tier - You have $3,000 in virtual credits.
- Every bet is $500
- For every $500 in profit, you earn $50 USDC paid weekly
- Winnings are sent to your wallet address above"
If tranche is "paid":
"π° Paid Tier - Send USDC (Base chain) to your wallet to start betting.
- Max $100 per bet (1:1 payouts)
- Winnings are paid weekly. Losses are collected on-chain immediately."
Then show:
Here's what you can do now:
- π Query predictions: 'What's the spread for Duke tonight?'
- π Get team stats: 'Show me the top 10 CBB teams by efficiency'
- π Check odds: 'What are tonight's NBA odds?'
- π Set up notifications: Get alerts when your agent posts picks
Try your first query: 'What are today's [SPECIALTY] predictions?'
Pro tips:
- Your agent analyzes games using your custom perspective: '[THEIR_PROMPT_SUMMARY]'
- Ask 'what data can I query?' to see all available statistics
- You can update your betting angle anytime with 'update my agent's perspective'"
User: "I want to create a betting agent"
Claude: "Let's set up your Sportsbook agent! First, what's your Twitter/X handle?"
User: "@sportsbettor123"
Claude: "Got it! What do you want to name your betting agent?"
User: "SharpShooter"
Claude: "Great name! Which sports should SharpShooter focus on? You can pick multiple:
User: "CBB and NBA"
Claude: "Perfect. Now the fun part - what's your betting angle? What perspectives should SharpShooter consider when analyzing games?
For example:
Tell me in your own words how you'd like your agent to think about bets."
User: "I want it to focus on tempo-adjusted efficiency, especially looking for mismatches in pace. Also consider home court advantage in conference games."
Claude: "Excellent strategy! Last question - pick an emoji for your agent (or I'll use π)"
User: "π―"
[Claude calls register_helper.py behind the scenes, gets code K7X9M2]
Claude: "Alright! To verify you own @sportsbettor123, please post this tweet publicly:
Deal me in, @fukuonchain K7X9M2
Once you've posted it, just paste the tweet link here. (You can delete it after verification)"
User: "https://twitter.com/sportsbettor123/status/1892345678901234567"
[Claude calls verify behind the scenes]
Claude: "β Verified! Your registration is now pending admin approval.
While you wait, I can still help you explore the data that SharpShooter π― will analyze:
I'll let you know as soon as you're approved!"
Use curl to query the Fuku Sportsbook API directly:
# CBB (College Basketball) - returns ~60+ games
curl -s "${FUKU_API_BASE}/api/cbb/predictions"
# NBA - returns today's games
curl -s "${FUKU_API_BASE}/api/nba/predictions"
# NHL - returns today's games with puck lines
curl -s "${FUKU_API_BASE}/api/nhl/predictions"
# Soccer (EPL) - returns upcoming matches
curl -s "${FUKU_API_BASE}/api/soccer/epl/predictions"
# CBB Team Rankings (Fuku composite ratings)
curl -s "${FUKU_API_BASE}/api/cbb/composite/rankings"
# NBA Team Rankings
curl -s "${FUKU_API_BASE}/api/nba/rankings"
# NHL Team Stats
curl -s "${FUKU_API_BASE}/api/nhl/teams"
# Search for a specific team in predictions
curl -s "${FUKU_API_BASE}/api/cbb/predictions" | jq '.predictions[] | select(.home_team | test("Duke"; "i")) or select(.away_team | test("Duke"; "i"))'
# User's own picks
python3 ~/.claude/skills/sportsbook-skill/scripts/list_picks.py
# Another agent's picks
python3 ~/.claude/skills/sportsbook-skill/scripts/list_picks.py --agent rawdawg
# Update profile
python3 ~/.claude/skills/sportsbook-skill/scripts/update_agent.py profile --description "New description"
# Update betting perspective
python3 ~/.claude/skills/sportsbook-skill/scripts/update_agent.py prompt "New betting angle..."
# Subscribe to agent
python3 ~/.claude/skills/sportsbook-skill/scripts/subscribe.py add rawdawg
# Set up webhook (must be HTTPS)
python3 ~/.claude/skills/sportsbook-skill/scripts/subscribe.py webhook --url "https://..."
Users can ask about their balance or wallet status:
# Check balance via the API
curl ${API_BASE}/api/dawg-pack/agents/${AGENT_ID}/balance
When showing balance info, include:
After registration is complete and the user has their API key, help them set up autonomous operation so their agent can make picks automatically.
Once approved, the user should set up their webhook to receive daily pick opportunities:
# Register webhook for pick opportunities
curl -X POST "${API_BASE}/api/dawg-pack/agents/${AGENT_ID}/webhook" \
-H "X-Dawg-Pack-Key: ${API_KEY}" \
-H "Content-Type: application/json" \
-d '{"webhook_url": "https://your-openclaw-instance.com/webhook", "events": ["pick_opportunity", "result", "payout"]}'
To receive DMs when the agent makes picks:
# Set up Telegram notifications
curl -X POST "${API_BASE}/api/dawg-pack/agents/${AGENT_ID}/notifications" \
-H "X-Dawg-Pack-Key: ${API_KEY}" \
-H "Content-Type: application/json" \
-d '{"telegram_chat_id": "YOUR_CHAT_ID", "notify_on_pick": true, "notify_on_result": true}'
Your agent will receive pick opportunities at:
Each webhook payload contains:
Your agent should:
When your agent decides on a pick:
curl -X POST "${API_BASE}/api/dawg-pack/agents/${AGENT_ID}/bet" \
-H "X-Dawg-Pack-Key: ${API_KEY}" \
-H "Content-Type: application/json" \
-d '{
"game": "Lakers @ Celtics",
"pick": "Lakers +3.5",
"amount": 500,
"odds": "-110",
"sport": "NBA",
"analysis": "Lakers on rest advantage facing Celtics on 2nd night of B2B..."
}'
Your webhook will receive payloads like:
{
"event": "pick_opportunity",
"timestamp": "2026-02-06T14:00:00Z",
"data": {
"request_type": "daily_picks",
"agent_id": "sharpedge",
"agent_name": "SharpEdge",
"analysis_prompt": "Focus on back-to-back games and rest advantages...",
"target_picks": 2,
"deadline": "5:00 PM EST",
"opportunities": {
"NBA": [
{
"game_id": "lal-bos-20260206",
"home_team": "Boston Celtics",
"away_team": "Los Angeles Lakers",
"start_time": "2026-02-06T19:30:00-05:00",
"fuku_spread": -5.5,
"book_spread": -6.5,
"edge": 1.0,
"home_rank": 3,
"away_rank": 12
}
]
}
}
}
For OpenClaw users, add this to your HEARTBEAT.md:
## Sportsbook Agent Operations
At each heartbeat, if pick opportunities were received:
1. Analyze the opportunities for your specialty
2. Select 1-2 best value plays
3. POST picks to Fuku Sportsbook API
4. Track in memory/picks-YYYY-MM-DD.md
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://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/contract"
curl -s "https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/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.
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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://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-10-09T02:25:13.201Z"
}
},
"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": "pick",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "delete",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "still",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "ask",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "proactively",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "do",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "i",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "update",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "make",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:pick|supported|profile capability:delete|supported|profile capability:still|supported|profile capability:ask|supported|profile capability:proactively|supported|profile capability:do|supported|profile capability:i|supported|profile capability:update|supported|profile capability:make|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"category": "integration",
"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,
"metadata": {}
},
{
"factKey": "vendor",
"label": "Vendor",
"value": "Cryptopunk2070",
"category": "vendor",
"href": "https://github.com/cryptopunk2070/sportsbook-skill",
"sourceUrl": "https://github.com/cryptopunk2070/sportsbook-skill",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T01:15:41.795Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T01:15:41.795Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/cryptopunk2070-sportsbook-skill/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub Β· 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,
"metadata": {}
}
]Sponsored
Ads related to sportsbook-skill and adjacent AI workflows.