ai-analyst-lab/.claude/skills/datasets
.claude/skills/datasets/SKILL.md
# Skill: Datasets ## Purpose List all connected datasets with their status, table counts, and last analysis date. ## When to Use Invoke as `/datasets` when the user wants to see what datasets are available. ## Instructions ### Step 1: Read the source registry Read `data_sources.yaml` to get the list of registered sources. ### Step 2: Read the active pointer Read `.knowledge/active.yaml` to determine which dataset is currently active. ### Step 3: Enrich with brain data For each registere
$ install --global
skillsauthnpx skillsauth add ai-analyst-lab/ai-analyst .claude/skills/datasetsInstall 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 4, 2026, 3:47 AM4.5s1 file scanned
SKILL.md
Skill: Datasets
Purpose
List all connected datasets with their status, table counts, and last analysis date.
When to Use
Invoke as /datasets when the user wants to see what datasets are available.
Instructions
Step 1: Read the source registry
Read data_sources.yaml to get the list of registered sources.
Step 2: Read the active pointer
Read .knowledge/active.yaml to determine which dataset is currently active.
Step 3: Enrich with brain data
For each registered source, check if .knowledge/datasets/{name}/manifest.yaml exists. If it does, read summary stats (table_count, date_range, analysis_count, last_used).
Step 4: Display the list
Connected Datasets:
* your_dataset (active)
Your Dataset Name — {table_count} tables, {date_range}
Connection: {type} ({database})
Analyses: 0
- {other_dataset}
{display_name} — {table_count} tables, {date_range}
Connection: {type} ({details})
Analyses: {count}
Commands:
/switch-dataset {name} — switch active dataset
/connect-data — connect a new dataset
/data — inspect active dataset schema
Mark the active dataset with *. Mark others with -.
Anti-Patterns
- Never show connection credentials — display type and database/schema only, never tokens or passwords
- Never show datasets that have no registry entry — orphaned .knowledge/datasets/ dirs without a data_sources.yaml entry should be ignored
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