SKILL

Ar Status

From claude-skills by @alirezarezvani · View on GitHub

Show experiment dashboard with results, active loops, and progress. Use when the user runs /ar:ar-status or asks how an autoresearch experiment is going.

● INSTALL

This skill ships inside the claude-skills package. Install the package to get this skill plus everything else in the bundle.

sv install alirezarezvani/claude-skills

● SKILL.MD

/ar:ar-status — Experiment Dashboard

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

bash

python {skill_path}/scripts/log_results.py --experiment {domain}/{name}

Also check for active loop:

bash

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

bash

python {skill_path}/scripts/log_results.py --domain {domain}

Full dashboard

bash

python {skill_path}/scripts/log_results.py --dashboard

For each experiment, also check for loop.json and show loop status.

Export

bash

# 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     —