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%.**

Security Scan

The skill's code and runtime instructions are consistent with its stated purpose (web-search-based sports-betting advice); it requests no extra credentials or unusual installs, though it persistently writes recommendations to a local file and uses a platform web_search tool so you should be aware of data persistence and accuracy limitations.

Purpose & Capability

Name/description ask for research and predictions; the included script and SKILL.md both rely on web search, parse snippets, produce recommendations and include a disclaimer and capped confidence — all directly related to the advertised purpose.

Instruction Scope

SKILL.md instructs the agent to gather current and historical data via web searches and present predictions with a disclaimer; the included script uses the platform's default_api.web_search and simple heuristics to extract events. Note: the script assumes availability of a web_search tool and uses naive parsing (may produce low-quality/incorrect recommendations). It does not instruct the agent to read unrelated files, environment variables, or call unexpected external endpoints beyond web search.

Install Mechanism

No install spec, no package downloads — instruction-only skill plus a small helper script. No archive downloads or external installers that would write arbitrary code to disk during installation.

Credentials

The skill declares no required environment variables, credentials, or config paths and the code does not reference secrets — it only calls the platform-provided default_api.web_search tool. There are no disproportionate credential requests.

Persistence & Privilege

always:false (normal). The script writes recommendations to a local file (scripts/sportsbet_recommended_bets.json) in the skill directory and even mentions cron-style reuse — this is limited persistence scoped to the skill's folder but means outputs may remain on disk and be retrievable later. The skill does not modify other skills or system settings.

Assessment

This skill appears internally consistent with its description and does not ask for credentials or install arbitrary code. Things to consider before installing: (1) The script relies on the OpenClaw-provided web_search tool — confirm how that tool handles user queries and whether search queries or results could leak sensitive context. (2) It persistently writes recommendations to scripts/sportsbet_recommended_bets.json in the skill folder; if you are concerned about disk persistence or sensitive query data, plan to audit or clear that file. (3) The analysis logic is simplistic (heuristic parsing and fixed confidence math); treat outputs as heuristics, not guaranteed predictions — the skill includes the requested disclaimer and caps confidence at 95%. (4) If you operate under gambling compliance rules, verify that using an automated advisor is allowed. If you want stronger guarantees, request removal of the file-write behavior or review/modify the parsing logic to meet quality/privacy requirements.

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.

Core Capabilities

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."