What makes Agent Poker notable?

1.3K downloads. Trust evidence available

How should Agent Poker be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Agent Poker

Open poker tables (challenge / demo / room / tv), settle a room-mode or tv-mode session into a shareable IOU sheet, and query hand history on Agent Poker Clu... Skill: Agent Poker Owner: oviswang Summary: Open poker tables (challenge / demo / room / tv), settle a room-mode or tv-mode session into a shareable IOU sheet, and query hand history on Agent Poker Clu... Tags: latest:1.30.0 Version history: v1.30.0 | 2026-06-01T17:17:59.583Z | user Update to Agent Poker Club skill 1.30.0: support 6–9 entourage names and seat_index 0–8 for 7–9-seat challenge/demo tables, plus latest

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.3k

Updated

Oct 10, 2026

Version

1.30.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.3K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.3K downloadsadoption · observed Oct 10, 2026
Latest release: 1.30.0release · observed Jun 1, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17etw0f8mzcnxmdcag79a1a8983ttek:agent-poker

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
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.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-oviswang-agent-poker/snapshot"

Documentation

CLAWHUB

146,059 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: agent-poker
description: Open poker tables (challenge / demo / room / tv), settle a room-mode or tv-mode session into a shareable IOU sheet, and query hand history on Agent Poker Club — device-code pair once via X, then drive everything from any agent client.
version: 1.30.0
metadata:
  openclaw:
    emoji: "♣️"
    homepage: https://agentpoker.club
    requires:
      bins:
        - curl
---

# Agent Poker Club — Skill

**Version:** 1.30.0 (full agent skill — four modes, room+tv IOU settlements with buy-in audit, agent-at-the-felt in TV mode incl. proxy-play for a human seat, room+tv buy-in, post-pair onboarding ritual, **Step 0 bearer-reuse check before re-pairing**, **challenge/demo seats 2–9 (1.0.481+)**, **entourage 6–9 names + seat_index 0–8 to fill 7–9-seat tables**) · **Base URL:** `https://agentpoker.club`

A portable skill for AI coding agents. Works with any agent that can
make authenticated HTTPS requests — **Claude Code, Codex, Cursor,
OpenClaw, Aider, Continue, cron-bots, custom scripts** — the skill
is plain markdown + `curl` examples, no platform-specific wrappers.
Install it once, pair via X (Twitter), and your agent can run poker
tables on your behalf.

## At a glance — TLDR for the agent

```text
4 modes:
  challenge → 1 human + 5 entourage bots; counts on leaderboard.
  demo      → 6 entourage bots, no humans; great for recordings / screenshares.
  room      → 2-6 humans, no bots; HUMANS-ONLY by product contract — agents must NOT sit at the felt.
  tv        → physical-room big-screen + phone companion views; the ONE mode where an agent CAN sit at the felt.

Pair once:    POST /auth/pair/start → operator does Sign-in-with-X → POST /auth/pair/complete returns a bearer token.
              **Before you call /auth/pair/start, ALWAYS check first** — bearer tokens are permanent and re-pairing
              for no reason is the #1 operator complaint. See [Step 0 below](#step-0--check-for-existing-bearer-before-pairing).
After pair:   PUT /agents/me/entourage [6–9 names] + PUT /agents/me/playstyle {5 knobs} + per-seat overrides.
              This is the cheap-but-essential personalization step — without it your challenge / demo tables look generic.
Spin a table: POST /tables {"mode":"challenge|demo|room","seats":N} → returns join_url to share.
TV mode:      Tell the operator to open https://agentpoker.club/tv. No API call required by default.
Settle:       POST /tables/{id}/settlements → IOU sheet (ROOM or TV — both are real-human modes; challenge/demo are agent-vs-bot so nothing to settle).
Read stats:   GET /agents/me, GET /agents/me/hands.

TV-mode agent at the felt (the only spot where you fold/call/raise via API):
  Get private hole cards: GET /state?tableId=X&seatIndex=N&sinceVersion=V → seat.holeCards + pendingAction.
  Submit action:          POST /action {tableId, seatIndex, turnToken, action, amount?}.

Tokens you'll handle (mix-ups are the #1 agent bug — see Tokens & IDs at a glance below):
  bearer       Autho

_meta.json

{
  "ownerId": "kn7byzam09vxfc74kf9zkjhgnn83vyqb",
  "slug": "agent-poker",
  "version": "1.30.0",
  "publishedAt": 1780334279583
}

skill-card.md

## Description:

Open poker tables in challenge, demo, room, or TV modes, settle room-mode or TV-mode sessions into shareable IOU sheets, and query hand history on Agent Poker Club after pairing through X.

This skill is ready for commercial/non-commercial use.

## Publisher:

[oviswang](https://clawhub.ai/user/oviswang)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and agent operators use this skill to let an AI agent create and manage poker-table experiences, personalize bot crews, query hand history, and prepare IOU-style settlements for room or TV games.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill handles long-lived bearer tokens and other session or settlement tokens.

Mitigation: Store tokens only in a real secret manager or runtime credential vault, avoid pasting permanent tokens into ordinary chat, and revoke tokens that are no longer needed.

Risk: The skill can expose private table links, claim tokens, settlement edit tokens, player tokens, wallet addresses, and payment handles.

Mitigation: Treat these values as sensitive and share only the minimum scoped link or token required for the intended participant.

Risk: Settlement and payment workflows can affect real-world debts or transfers even though the platform records IOUs rather than custodying funds.

Mitigation: Require explicit human confirmation for the exact table, amount, recipient, and payment channel before creating settlements, moving funds, or marking debts paid.

Risk: Using the wrong token for a gameplay or settlement endpoint can act on the wrong seat, table, or settlement.

Mitigation: Verify the table ID, seat index, token type, and endpoint before each action, and keep bearer, claim, turn, settlement edit, and player tokens separate.

## Reference(s):

- [Agent Poker Club](https://agentpoker.club)
- [ClawHub Skill Page](https://clawhub.ai/oviswang/skills/agent-poker)
- [Publisher Profile](https://clawhub.ai/user/oviswang)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, configuration, guidance]

**Output Format:** [Markdown guidance with curl command examples and JSON request or response shapes]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires curl for HTTP API examples and handles bearer, claim, turn, settlement edit, and player tokens.]

## Skill Version(s):

1.30.0 (source: frontmatter and server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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