Install
Quick install
npx skills add https://github.com/alirezarezvani/claude-skills/tree/main/engineering/autoresearch-agent/skills/statusnpx skills add alirezarezvani/claude-skills --skill status --agent claude-codenpx skills add alirezarezvani/claude-skills --skill status --agent cursornpx skills add alirezarezvani/claude-skills --skill status --agent codexnpx skills add alirezarezvani/claude-skills --skill status --agent opencodenpx skills add alirezarezvani/claude-skills --skill status --agent github-copilotnpx skills add alirezarezvani/claude-skills --skill status --agent windsurfMore install options
Shorthand — useful for multi-skill repos:
npx skills add alirezarezvani/claude-skills --skill statusManual — clone the repo and drop the folder into your agent's skills directory:
git clone https://github.com/alirezarezvani/claude-skills.gitcp -r claude-skills/engineering/autoresearch-agent/skills/status ~/.claude/skills//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 CSVWhat 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/nullIf 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 --dashboardFor 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 —SKILL.md source
---
name: status
description: Show experiment dashboard with results, active loops, and progress.
---
# /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
```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 —
```
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