How do I install the Status skill?

Run npx skillmds@latest add jantoniofc/status-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Status skill do?

Show experiment dashboard with results, active loops, and progress. It is listed under AI & ML on SkillMD.

Is Status safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Status?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Status free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Status?

JantonioFC (@jantoniofc) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Status by jantoniofc — Agent Skill

Name: Status
Rating: 4.666666666666667 (3 reviews)
Author: JantonioFC

File contents

/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     —

When to Use

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

Covers: /ar:status — Experiment Dashboard, What It Does, Single experiment, Domain view, Full dashboard.

---name: status-2description: Show experiment dashboard with results, active loops, and progress.license: MIT---# /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 — ``` ## When to Use Show experiment dashboard with results, active loops, and progress. Covers: /ar:status — Experiment Dashboard, What It Does, Single experiment, Domain view, Full dashboard.

Frequently asked questions

Status