armor-tags — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited armor-tags (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Organize and classify database objects with tags for governance, compliance, and business categorization.
~/.armor/config.yaml or ARMOR_API_KEY env var)pip install anomalyarmor)Tags can be applied to:
client.tags.create() with the object pathclient.tags.apply() for batch operationsclient.tags.bulk_apply()from anomalyarmor import Client
client = Client()
# List all tags for an asset
tags = client.tags.list(asset="postgresql.analytics")
for tag in tags:
print(f" {tag.name} ({tag.category}): {tag.object_path}")
# Filter by category
governance_tags = client.tags.list(
asset="postgresql.analytics",
category="governance"
)tag = client.tags.create(
asset="postgresql.analytics",
name="pii_data",
object_path="public.customers",
object_type="table",
category="governance",
description="Contains personally identifiable information"
)
print(f"Created tag: {tag.id}")tag = client.tags.create(
asset="postgresql.analytics",
name="sensitive",
object_path="public.customers.email",
object_type="column",
category="governance"
)result = client.tags.apply(
asset="postgresql.analytics",
tag_names=["financial_reporting", "quarterly_data"],
object_paths=["gold.fact_orders", "gold.fact_revenue", "gold.dim_customers"],
category="business"
)
print(f"Applied: {result.applied}, Failed: {result.failed}")result = client.tags.bulk_apply(
tag_name="production_critical",
asset_ids=["postgresql.analytics", "postgresql.warehouse", "snowflake.main"],
category="technical"
)
print(f"Tagged {result.applied} assets")Tags for postgresql.analytics:
pii_data (governance): public.customers
financial_reporting (business): gold.fact_orders
quarterly_data (business): gold.fact_revenue
production_critical (technical): asset-level
By Category:
governance: 3 tags
business: 5 tags
technical: 2 tags~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.