Load Data Skill
SkillDev toolsCommands for loading and managing scan data, ingesting federal domains, enqueueing scans, running single-site tests, and exporting snapshots.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Load Data Skill skill
What this skill tells your AI
The instructions your AI receives, as published by gsa/site-scanning-engine in .agents/skills/load-data/SKILL.md and read by ahel’s review.
Commands for working with scan data in the Site Scanning Engine.
Prerequisites
- API and database must be running
- Infrastructure services (Docker) must be up
Core Data Operations
Ingest Federal Domain List
Load websites from Federal Website Index into the database:
npm run ingest -- --limit 200
Options:
--limit N- Limit to N websites (recommended for local dev)- Omit limit to ingest all domains (production use)
Source: https://github.com/GSA/federal-website-index/blob/main/data/site-scanning-target-url-list.csv
Note: This is a prerequisite for all scanning operations. Must be run before enqueueing scans.
Enqueue All Websites for Scanning
Queue all websites in database for scanning:
npx nest start cli -- enqueue-scans
This adds jobs to the Redis queue for the scan-engine workers to consume.
Scan Single Site (Testing)
Test scan a single site without writing to database:
npx nest start cli -- scan-site --url 18f.gov
Use cases:
- Testing scan logic locally
- Debugging specific site issues
- Validating scan configuration
Note: Results are printed to console but not persisted to database.
Create and Export Snapshot
Generate snapshot and export to S3:
npm run snapshot
What this does:
- Exports current scan results to CSV
- Uploads to S3/Minio for public consumption
- Only includes latest scan per website
Note: Snapshot generation is difficult to test locally because Minio configuration is limited in local dev. If issues occur, address them in the deployed environment.
Data Flow
- Ingest → Loads URLs into
websitetable - Enqueue → Creates scan jobs in Redis queue
- Scan → Workers process jobs, write to
core_resulttable - Snapshot → Exports results to S3
Database Notes
- Database stores only most recent scan per website (no historical data)
- Old scan results are overwritten with new ones
- Historical data is preserved via snapshots in S3
Signals
- GitHub stars
- 32
- Forks
- 14
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
load-data- Source
- github.com/gsa/site-scanning-engine