Add 247 entity stubs from CSA public member list#87
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New ingestion track parallel to the CNA disclosure-stub generator. Reads the CSA website member roster (entity_name + domain) and emits draft entity stubs for members with no existing entity record. - scripts/generate-entity-from-csa-members.py: generator (domain cleanup for scraped junk, skip-by-namespace so existing/hand-curated files are never overwritten, deterministic output, --dry-run) - 247 new registry/entity/**/*.json: status draft, empty match_nodes, same fidelity as the existing CNA stubs - Generated untagged (no subtype:) to match the rest of the entity registry; the entity subtype catalog is still being designed. Provenance notes flag them as candidates for ["organization","company"] in a later sweep. - CSA membership itself is intentionally NOT encoded — that is a relationship-layer fact, not an intrinsic entity property. Skipped: 44 namespaces already present (untouched), 3 in-CSV duplicate domains, 10 rows with no usable domain (need a domain hand-filled). All 2015 registry files validate against the schema; subtype check clean. Co-Authored-By: Claude Opus 4.8 (1M context) <[email protected]>
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What
Adds 247 new entity stub records generated from the CSA public member roster (
csa-website-members-2026-06-08.csv), plus a reusable generator script.This is a third entity-ingestion track alongside the existing CNA disclosure-stub generator and hand-curated entries. The CSA member list is a curated, security-relevant roster (overwhelmingly commercial vendors) that fills gaps the CNA-derived stubs miss — e.g. members like Abnormal AI, A-LIGN, AVEVA had no entity record at all.
How
scripts/generate-entity-from-csa-members.py(parallel togenerate-entity-stubs-from-disclosure.py):www., zero-width chars, trailing protocol junk like"huaweicloud.com http:")--dry-runDesign notes
subtype:) to match the current state of the entity registry. The entity subtype catalog (organization/product/service/model/dataset+ org-nature tags) is still being designed; provenance notes flag these as prime candidates for["organization","company"]in a later tagging sweep.match_nodes: []), so no regex-safety considerations.Validation
Both CI checks pass locally:
validate-registry-schema.py→ all 2015 files validate against the schemavalidate-subtypes.py→ clean (new files add no subtypes)Follow-ups (not in this PR)
🤖 Generated with Claude Code