status
Implement — Show experiment dashboard with results, active loops, and progress.
Datos de origen
- Repositorio
- thiagofernandes1987-create/APEX
- Última actividad en el origen
- 18 de abril de 2026 a las 09:35
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 2
- Forks
- 0
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- 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
```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 —
```
---
## Why This Skill Exists
Implement — Show experiment dashboard with results, active loops, and progress.
<!-- SR_40: auto-generated from frontmatter `purpose`/`description` (OPP-Phase3). Expand with domain-specific rationale. -->
## When to Use
Use this skill when the task requires status capabilities.
<!-- SR_40: auto-generated from frontmatter `when`/`description` (OPP-Phase3). -->
## 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.
<!-- SR_40: auto-generated from frontmatter `what_if_fails` (OPP-Phase3). -->
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