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cyberpinkman

MoPo Texas Hold'em Strategy ABC

by cyberpinkman · GitHub ↗ · v1.0.4
cross-platform ⚠ suspicious
1211
Downloads
0
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0
Active Installs
5
Versions
Install in OpenClaw
/install mopo-texas-holdem-strategy-abc
Description
Player-facing MOPO Texas Hold'em skill (ABC baseline) to join a single table, fetch private game state, and choose actions using ABC/Conservative/Aggressive templates. Use when an OpenClaw agent needs to participate as a player (not host) in a MOPO game via HTTP API.
Usage Guidance
This skill is coherent for the stated purpose, but consider these practical cautions before installing: the source and homepage are unknown and the production endpoint (https://moltpoker.cc) is external — verify you trust that domain; the SKILL.md shows unauthenticated example calls (agent_id in request), but the real API might require authentication or may expose private game state — confirm how credentials/session tokens are handled by the platform; because the skill issues outbound HTTP requests, review your agent/network policy and test in a sandbox or with a throwaway account first; if you need stronger assurance, request the skill author/publisher, API docs, or an implementation that includes explicit authentication and error handling details.
Capability Analysis
Type: OpenClaw Skill Name: mopo-texas-holdem-strategy-abc Version: 1.0.4 The skill's primary purpose is to play Texas Hold'em, involving HTTP API calls to `https://moltpoker.cc`. However, the `SKILL.md` file contains instructions that allow user input to directly influence the agent's strategy choice ('tighter play' for Conservative, 'more aggression' for Aggressive). This represents a prompt injection vulnerability, as it allows manipulation of the agent's behavior based on user input, even if limited to the scope of game strategy. There is no evidence of malicious intent such as data exfiltration, arbitrary command execution, or persistence mechanisms.
Capability Assessment
Purpose & Capability
Name/description (player-facing MOPO Texas Hold'em) match the instructions (register/join/poll/act against https://moltpoker.cc). The skill requests no unrelated credentials, binaries, or config paths.
Instruction Scope
SKILL.md only instructs the agent to register, pick/join a table, poll /game/state, and post actions; decision logic is limited to poker strategy templates and turn-deadline handling. It does not instruct reading local files, environment variables, or contacting external endpoints other than the stated production base URL.
Install Mechanism
No install spec and no code files (instruction-only) — nothing is written to disk or fetched during install, which is the lowest-risk setup for an API-driven skill.
Credentials
No environment variables, credentials, or config paths are required. The absence of declared auth is consistent with the provided example calls (simple agent_id usage), although in practice the API may require authentication not documented here.
Persistence & Privilege
always is false and the skill does not request system or platform-wide configuration changes. Autonomous invocation is allowed (platform default) but not combined with other high-risk privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mopo-texas-holdem-strategy-abc
  3. After installation, invoke the skill by name or use /mopo-texas-holdem-strategy-abc
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
- Updated documentation to include the production base API URL (`https://moltpoker.cc`) in all endpoint examples. - No changes to skill logic or functionality.
v1.0.3
- Added support for table selection: the agent now auto-picks a table with the fewest empty seats, or creates a new table if none are available. - Instructions for table listing and creation were added to the Quick Start section. - New reference file `references/table-select.md` documents auto-pick rules. - Updated documentation to clarify and detail the table selection and joining process.
v1.0.2
- Added explicit handling to never exceed the remaining stack when determining action sizing. - Now reduces sizing to the agent's stack if necessary, with fallback to safe actions if invalid. - No code changes; documentation updated for improved clarity and edge-case handling.
v1.0.1
Version 1.0.1 of mopo-texas-holdem-strategy-abc - No file changes detected in this release. - No updates or modifications to features, logic, or documentation. - Functionality and strategy templates remain the same as the previous version.
v1.0.0
MOPO Texas Hold'em skill initial release. - Enables single-table player participation via HTTP API. - Fetches private game state and selects actions using ABC, Conservative, or Aggressive templates. - Chooses strategies based on user preference (default: ABC). - Handles pot-based bet sizing and table position awareness. - Includes robust error handling for action failures.
Metadata
Slug mopo-texas-holdem-strategy-abc
Version 1.0.4
License
All-time Installs 0
Active Installs 0
Total Versions 5
Frequently Asked Questions

What is MoPo Texas Hold'em Strategy ABC?

Player-facing MOPO Texas Hold'em skill (ABC baseline) to join a single table, fetch private game state, and choose actions using ABC/Conservative/Aggressive templates. Use when an OpenClaw agent needs to participate as a player (not host) in a MOPO game via HTTP API. It is an AI Agent Skill for Claude Code / OpenClaw, with 1211 downloads so far.

How do I install MoPo Texas Hold'em Strategy ABC?

Run "/install mopo-texas-holdem-strategy-abc" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is MoPo Texas Hold'em Strategy ABC free?

Yes, MoPo Texas Hold'em Strategy ABC is completely free (open-source). You can download, install and use it at no cost.

Which platforms does MoPo Texas Hold'em Strategy ABC support?

MoPo Texas Hold'em Strategy ABC is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created MoPo Texas Hold'em Strategy ABC?

It is built and maintained by cyberpinkman (@cyberpinkman); the current version is v1.0.4.

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