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Sportsbet Advisor

Provide informed opinions and educated guesses on sports bets from Sportsbet. Use when asked to research a specific bet, analyze relevant data (both current and historical), and predict a potential outcome. Always include a disclaimer that the prediction is an educated guess and may be incorrect. **When assessing an outcome, provide a confidence level, ensuring it never exceeds 95%.**

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Provide informed opinions and educated guesses on sports bets from Sportsbet. Use when asked to research a specific bet, analyze relevant data (both current and historical), and predict a potential outcome. Always include a disclaimer that the prediction is an educated guess and may be incorrect. **When assessing an outcome, provide a confidence level, ensuring it never exceeds 95%.**

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/scrape_sportsbet_upcoming.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 4 sections Open source page

Overview

This skill enables N.O.V.A. to act as a sports bet advisor, conducting comprehensive research on specific sports events and teams to offer an educated guess on potential outcomes.

1. Bet Analysis & Comprehensive Research

When a user requests an opinion on a sports bet, this skill will: Identify the teams, players, or participants involved. Utilize web search to gather relevant information, including: Current Data: Recent team/player performance, current form, news, injury reports, home/away advantage, and expert analyses/predictions from reputable sports news sources. Historical Data: Head-to-head statistics, long-term trends, and historical outcomes of similar matchups. Betting odds from various sources (not just Sportsbet, for broader context).

2. Educated Guess, Confidence Level & Disclaimer

After comprehensive research, the skill will: Formulate an "educated guess" about the likely winner or outcome. Provide a confidence level (e.g., 75% confident), which will never exceed 95%. Present the findings and the guess to the user. Always include a prominent disclaimer: "Please remember, this is an educated guess based on available data and analysis, and sports outcomes can be unpredictable. There's always a chance it could be wrong, so bet responsibly."

Example Usage

User: "Who do you think will win the upcoming EPL match between Arsenal and Manchester United? I'm looking at a bet on Sportsbet." N.O.V.A. (after research): "Based on my comprehensive research, here's my educated guess for the Arsenal vs. Manchester United match: Recent Form: Arsenal has won 4 of their last 5 league games, scoring an average of 2 goals per game. Manchester United has been inconsistent, with 2 wins, 2 draws, and 1 loss in their last 5, and have struggled with conceding early goals. Head-to-Head (Historical): In their last 10 encounters, Arsenal has won 5, Manchester United 3, and 2 draws, indicating a slight historical edge for Arsenal. Injuries: [Specific injury updates for key players, if any.] Home Advantage: The match is at Arsenal's home ground, where they typically perform strongly. Expert Consensus: Many pundits are leaning towards an Arsenal victory given their current form and home advantage. Considering these factors, I lean towards Arsenal winning this match. I am 80% confident in this prediction. Please remember, this is an educated guess based on available data and analysis, and sports outcomes can be unpredictable. There's always a chance it could be wrong, so bet responsibly."

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts
  • SKILL.md Primary doc
  • scripts/scrape_sportsbet_upcoming.py Scripts