status

name	status
description	Implement — Show experiment dashboard with results, active loops, and progress.
command	/ar:status
executor	LLM_BEHAVIOR
skill_id	engineering.cs_engineering.autoresearch_agent.status
status	ADOPTED
security	{"level":"standard","pii":false,"approval_required":false}
anchors	["engineering","visualization","research"]
tier	2
input_schema	[{"name":"code_or_task","type":"string","description":"Code snippet, script, or task description to process","required":true}]
output_schema	[{"name":"result","type":"string","description":"Primary output from 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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Why This Skill Exists

Implement — Show experiment dashboard with results, active loops, and progress.

When to Use

Use this skill when the task requires status capabilities.

What If Fails

If this skill fails to produce the expected output: (1) verify input completeness, (2) retry with more specific context, (3) fall back to the parent workflow without this skill.