/ar:ar-status — Experiment Dashboard
SkillAI & modelsYour AI can show a dashboard of your research experiments, including results, progress, and any loops still running. Ask how an experiment is going and get a clear snapshot instead of digging through details. The dashboard can also be exported as CSV or markdown.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, run /ar:ar-status or simply ask how your autoresearch experiment is going, and your AI will bring up the dashboard.
Then ask your AI: use the /ar:ar-status — Experiment Dashboard skill
What your AI can do with it
- Show a dashboard of experiment results
- Report progress on running experiments
- List active experiment loops
- Export experiment summaries as CSV
- Export experiment summaries as markdown
What this skill tells your AI
The instructions your AI receives, as published by alirezarezvani/claude-skills in .gemini/skills/ar-status/SKILL.md and read by ahel’s review.
Show experiment results, active loops, and progress across all experiments.
Usage
/ar:ar-status # Full dashboard
/ar:ar-status engineering/api-speed # Single experiment detail
/ar:ar-status --domain engineering # All experiments in a domain
/ar:ar-status --format markdown # Export as markdown
/ar:ar-status --format csv --output results.csv # Export as CSV
What It Does
Single experiment
python {skill_path}/scripts/log_results.py --experiment {domain}/{name}
Also check for active loop:
cat .autoresearch/{domain}/{name}/loop.json 2>/dev/null
If loop.json exists, show:
Active loop: every {interval} (cron ID: {id}, started: {date})
Domain view
python {skill_path}/scripts/log_results.py --domain {domain}
Full dashboard
python {skill_path}/scripts/log_results.py --dashboard
For each experiment, also check for loop.json and show loop status.
Export
# CSV
python {skill_path}/scripts/log_results.py --dashboard --format csv --output {file}
# Markdown
python {skill_path}/scripts/log_results.py --dashboard --format markdown --output {file}
Output Example
DOMAIN EXPERIMENT RUNS KEPT BEST CHANGE STATUS LOOP
engineering api-speed 47 14 185ms -76.9% active every 1h
engineering bundle-size 23 8 412KB -58.3% paused —
marketing medium-ctr 31 11 8.4/10 +68.0% active daily
prompts support-tone 15 6 82/100 +46.4% done —
Signals
- GitHub stars
- 26k
- Forks
- 4k
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
ar-status- Source
- github.com/alirezarezvani/claude-skills