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Audit score 90

status

alirezarezvani/claude-skills

View experiment dashboard with results, active loops, and progress for autoresearch experiments.

What is status?

Displays a dashboard showing results, active loops, and progress across all experiments or filtered by domain/experiment. Use this when you need to check experiment status, view metrics, or export results in markdown or CSV format.

  • Show full dashboard with all experiments, domains, runs, kept results, best metrics, and loop status
  • View single experiment details including active loop information and progress
  • Filter experiments by domain to see related results together
  • Export experiment data as markdown or CSV for reporting and analysis
  • Display active loop schedules (cron intervals) and when loops were started

How to install status

npx skills add https://github.com/alirezarezvani/claude-skills --skill status
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How to use status

  1. 1.Run /ar:status to display the full experiment dashboard
  2. 2.Add a domain filter (e.g., /ar:status --domain engineering) to see experiments in a specific domain
  3. 3.Specify a single experiment (e.g., /ar:status engineering/api-speed) to view detailed results
  4. 4.Use --format markdown or --format csv with --output filename to export results
  5. 5.Check the LOOP column to see active loop schedules and status

Use cases

Good for
  • Check the status of a running autoresearch experiment after /ar:status is called
  • View metrics and improvements across multiple experiments in a domain
  • Export experiment results to markdown for documentation or reports
  • Monitor which experiments have active loops and their schedules
  • Get a quick overview of all experiments with their best metrics and change percentages
Who it's for
  • Researchers running autoresearch experiments
  • Teams tracking multiple concurrent experiments
  • Users needing to report or document experiment results
  • Anyone monitoring experiment progress and loop status

status FAQ

What information does the dashboard show?

The dashboard displays experiment name, number of runs, kept results, best metric achieved, percentage change, current status (active/paused/done), and active loop schedule.

How do I view results for just one domain?

Use /ar:status --domain {domain_name} to filter and show only experiments in that domain.

Can I export the results?

Yes, use --format csv --output filename.csv or --format markdown --output filename.md to export the dashboard data.

What does the LOOP column show?

It displays the active loop schedule (e.g., 'every 1h', 'daily') if the experiment has an active loop, or '—' if no loop is running.

How do I check a specific experiment's details?

Run /ar:status {domain}/{experiment_name} to see detailed results and loop information for that single experiment.

Full instructions (SKILL.md)

Source of truth, from alirezarezvani/claude-skills.


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

/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     —

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