---

name: gaia-leaderboard description: Fetch and display current HAL GAIA leaderboard scores and our positioning argument-hint: "[--level=1] [--top=20]"

/gaia leaderboard

Display the current HAL GAIA leaderboard and compare with stored ruflo runs.

Usage

/gaia leaderboard
/gaia leaderboard --level=1 --top=20
/gaia leaderboard --level=2

Options

Flag	Default	Description
--level	1	Show scores for this GAIA level (1, 2, or 3)
--top	20	How many leaderboard entries to display
--show-ours	on	Overlay our stored run results in the table

What this does

1. Fetches the GAIA leaderboard from the HAL HuggingFace space API: https://huggingface.co/spaces/gaia-benchmark/leaderboard
2. Parses the top N entries by L1/L2/L3 pass-rate.
3. Loads our stored runs from the gaia-runs memory namespace.
4. Displays a comparison table:

Rank  System                  L1%    L2%    L3%    Overall
----  ----------------------  -----  -----  -----  -------
  1   HAL (Sonnet 4.5)        74.6   55.2   31.4   60.1
  2   GPT-4o (OpenAI)         71.3   51.8   28.9   56.6
...
 --   ruflo (this session)    20.8    --     --     20.8*

* denotes partial run (L1 only, 53/300 questions).

Known baselines

System	L1	Source
HAL Sonnet 4.5	74.6%	Princeton HAL reference, 300 Q
ruflo iter 23	20.8%	53 Q, post-SOTA web_search
ruflo iter 15	9.4%	53 Q, broken web_search

Steps Claude should follow

1. Use the WebFetch tool to retrieve leaderboard data from https://huggingface.co/spaces/gaia-benchmark/leaderboard.
2. If the API returns JSON parse it directly; if HTML, extract the table rows.
3. Load local runs: npx @claude-flow/cli@latest memory list --namespace gaia-runs
4. Render a Markdown table comparing leaderboard entries with local runs.
5. Highlight the gap between our best run and the top-10 median.
6. Suggest which configuration changes would close the gap most efficiently.