neekware/artifacts/bundle/skills/engineering/status
artifacts/bundle/skills/engineering/status/SKILL.md
# /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 experi
development
Updated Apr 8, 2026
$ install --global
skillsauthnpx skillsauth add neekware/ehayeskills artifacts/bundle/skills/engineering/statusInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 8, 2026, 2:35 AM6.0s1 file scanned
SKILL.md
/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 —
Creator: Engineering License: MIT Source Repo:
neekware/ehaye-skillsSource Bucket:engineeringOriginal Path:engineering/autoresearch-agent/skills/status
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