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status

status

github.com/alirezarezvaniAgent workflows28.9k1.6k installsUpdated 2d ago
Repository

About status

status is a command for reviewing experiment progress, results, and active loops for an individual experiment, a domain, or the full dashboard. It can export dashboard data as Markdown or CSV.

Key features

  1. 01View details for one experiment
  2. 02Summarize experiments by domain
  3. 03Show the full experiment dashboard
  4. 04Display active loop status
  5. 05Export as Markdown or CSV

Use cases

  1. 01Review the results and progress of an experiment
  2. 02Compare experiment status within a domain
  3. 03Check all experiments and their active loops
  4. 04Export the experiment dashboard as a report

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/alirezarezvani/claude-skills --skill status

After installing, type/statusin Claude Code to confirm it loaded.

Details

From the project README

/ar:status — Experiment Dashboard

Show experiment results, active loops, and progress across all experiments.

Usage

/ar:status                                  # Full dashboard
/ar:status engineering/api-speed            # Single experiment detail
/ar:status --domain engineering             # All experiments in a domain
/ar:status --format markdown                # Export as markdown
/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     —

Comments

Markdown supported