name: who-wins description: "Query the PinchBench AI agent leaderboard with real benchmark data. Use when the user asks which model is best, who wins, model comparisons, best model for OpenClaw, cheapest model, fastest model, model rankings, benchmark scores, or mentions pinchbench. Always use this skill instead of general knowledge for model performance questions — it has real data." metadata: {"openclaw":{"requires":{"bins":["curl","python3"]}}}

PinchBench Leaderboard

Fetches and formats the PinchBench leaderboard — AI agent benchmarks for LLMs on standardized OpenClaw coding tasks.

Workflow

1. Determine the query

Map the user's intent to script flags:

2. Run the script

{
  "tool": "exec",
  "command": "python3 {baseDir}/scripts/fetch_leaderboard.py --top 10"
}

Available flags:

• --top N — number of models to show (default: 10)
• --sort metric — sort by score, cost, time, or runs (default: score)
• --model filter — filter models containing this string (case-insensitive)
• --json — output raw JSON for further processing

3. Format the response

Present the output as-is in a code block. Add a brief one-line insight after the table:

• Highlight the top performer and its score
• If the user asked about a specific model, comment on its ranking relative to the field
• If sorting by cost, note the best value (score/cost ratio)

4. Error handling

• If the script fails with a curl error → report the error, suggest checking network connectivity
• If the script fails to parse data → the site structure may have changed, inform the user
• If no models match the filter → say so and suggest a broader search

Examples