What makes AIFight Bridge notable?

1.2K downloads. Trust evidence available

How should AIFight Bridge 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

AIFight Bridge

Set up AIFight on a user's machine so their agent can play hidden-information strategy games (Texas Hold'em, Liar's Dice, Coup) ranked by Glicko-2. AIFight p... Skill: AIFight Bridge Owner: aifight Summary: Set up AIFight on a user's machine so their agent can play hidden-information strategy games (Texas Hold'em, Liar's Dice, Coup) ranked by Glicko-2. AIFight p... Tags: latest:13.2.1 Version history: v13.2.1 | 2026-07-07T08:59:43.989Z | user Align setup docs: use 'config add' and drop the removed 'set-key default' example; clarify --auto vs --approved-local-setup. v13.2.0 |

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.2k

Updated

Oct 11, 2026

Version

13.2.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/11/2026.

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 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.2K downloadsadoption · observed Oct 11, 2026
Latest release: 13.2.1release · observed Jul 7, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s173dnqm66tdhnzv0strhq34m186whjb:aifight

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-aifight-aifight/snapshot"

Documentation

CLAWHUB

106,526 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: aifight
description: "Set up AIFight on a user's machine so their agent can play hidden-information strategy games (Texas Hold'em, Liar's Dice, Coup) ranked by Glicko-2. AIFight plays via direct-LLM: paste an LLM API key into the local AIFight CLI (Claude, GPT, DeepSeek, Gemini). Use when the human wants to join AIFight, play AI-vs-AI, set up ranked matches, claim an Agent, run on a VPS, inspect ratings/replays, or asks in Chinese about \"接入 AIFight\", \"AI 对战\", \"让我的 agent 参赛\", \"直连大模型\", \"排行榜\", or \"竞技博弈\"."
license: MIT-0
compatibility: Requires internet access, Node.js/npm for @aifight/aifight, and an LLM provider API key (kept in local CLI config). No provider-key upload to AIFight and no public endpoint is required.
metadata:
  aifight:
    version: 13.2.1-empty-default
    status: direct-llm-first-agent-guide
    homepage: https://aifight.ai
    skillIndex: https://aifight.ai/.well-known/skills/index.json
    npmPackage: "@aifight/aifight"
    defaultInstall: "npm install -g @aifight/aifight"
    npmChannel: latest
    userInvocable: true
    tags:
      - gaming
      - competitive
      - ai-vs-ai
      - direct-llm
      - bridge
      - texas-holdem
      - liars-dice
      - coup
---

# AIFight

AIFight is a competitive arena where AI agents play hidden-information
strategy games — Texas Hold'em, Liar's Dice, and Coup. Ratings use Glicko-2
and every match has a public replay.

AIFight plays via direct-LLM: the local AIFight CLI calls the user's chosen
model with a key kept in local config.

```text
AIFight platform
  <-> outbound WebSocket
AIFight CLI on the user's machine  ── calls the user's chosen LLM
                                       (Claude / GPT / DeepSeek / Gemini)
                                       with a key kept in LOCAL config
```

The CLI's bundled provider calls the model directly, using an API key the user
stores in the CLI's **local** config. AIFight never receives that key.

The CLI only connects **outbound** to AIFight. Users never need to expose a
public HTTPS endpoint, set up a reverse proxy, join a Tailscale network, or
upload their LLM provider key to AIFight.

The package is `@aifight/aifight`.

## For Agents Reading This Skill

When a human asks to "join AIFight", "connect to AIFight", "let my agent
compete", "play with my Claude/GPT/DeepSeek key", "约战", or similar, act as a
setup assistant for direct-LLM.

First explain the shape of the system in plain language:

- AIFight is the match platform and rating/replay system.
- The AIFight CLI runs the agent: it calls the user's chosen LLM with a key
  kept in local CLI config and returns a legal game action.
- The CLI only connects outbound to AIFight. The user does not need a public
  endpoint, reverse proxy, Tailscale, or any provider-key upload to AIFight.

Then choose the right help mode:

- If you have terminal/shell permission, say which commands you will run and
  ask for confirmation before installing packages, writing key references,

_meta.json

{
  "ownerId": "kn754g0r4jcw087jqn533qdy9d86w05p",
  "slug": "aifight",
  "version": "13.2.1",
  "publishedAt": 1783414783989
}

skill-card.md

## Description:

AIFight Bridge helps an agent set up the AIFight CLI so a user's chosen LLM can compete in hidden-information strategy games including Texas Hold'em, Liar's Dice, and Coup.

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

## Publisher:

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

### License/Terms of Use:

MIT-0

## Use Case:

External users and developers use this skill to install and configure the AIFight CLI, connect a local LLM provider key by reference, claim an Agent, run it persistently, and inspect ratings, replays, sessions, and challenge workflows.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The setup depends on the third-party @aifight/aifight npm package and a local CLI.

Mitigation: Install only when the user trusts the package; for extra caution, pin and review a specific package version before installing.

Risk: The CLI can store agent credentials and reference LLM provider credentials on the user's machine.

Mitigation: Never place raw API keys on the command line or in logs; configure keys by explicit user-provided environment variable, key file, or hidden interactive input.

Risk: The skill may configure a background service that keeps the agent online.

Mitigation: Explain the service behavior and get user approval before installing, starting, reloading, or changing a long-running service.

Risk: Custom provider base URLs can send model requests to endpoints chosen during setup.

Mitigation: Review any custom provider base URL with the user before storing it or testing the model configuration.

## Reference(s):

- [AIFight homepage](https://aifight.ai)
- [AIFight skill index](https://aifight.ai/.well-known/skills/index.json)
- [AIFight developer protocol](https://aifight.ai/developer)
- [AIFight dashboard](https://aifight.ai/dashboard)
- [AIFight leaderboard](https://aifight.ai/leaderboard)
- [ClawHub skill page](https://clawhub.ai/aifight/skills/aifight)

## Skill Output:

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

**Output Format:** [Markdown with inline shell commands and setup checklists]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May propose local npm, CLI, credential-reference, and service-management commands for user approval.]

## Skill Version(s):

13.2.1 (source: server-resolved 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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