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SKILL verified Apache-2.0 Self-run

Live Database Ingest

skill-kaelio-ktx-live-database-ingest · by Kaelio

Capture semantic-layer and knowledge updates from a live database schema snapshot.

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Install

$ agentstack add skill-kaelio-ktx-live-database-ingest

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Live Database Ingest

Use this skill when the ingest work unit contains raw files under raw-sources//live-database//.

Workflow

  1. Read the table JSON file listed in the work unit.
  2. Read connection.json to understand the snapshot metadata.
  3. Read foreign-keys.json when the table has a foreign key or when joins are

needed for the semantic-layer source.

  1. Create or update one semantic-layer source for the table with

sl_write_source.

  1. Use the physical table name from the raw JSON as the source table field.
  2. Preserve database comments as descriptions.db on tables and columns.
  3. Add joins only when the foreign key index names both sides.
  4. Write wiki pages only for durable business meaning that is present in table

or column comments.

  1. Run sl_validate for the table source before the work unit completes.

Sample values come from the scan record; do not invent values not present in relationship-profile.json.

Identifier Verification Protocol

Before writing a wiki page or SL source on any topic:

  1. discover_data({query: ""}) - see what wikis, SL sources, and raw

tables already exist. Prefer updating existing pages over creating new ones.

Before emitting any schema.table or schema.table.column into a wiki body, SL source, tables: frontmatter, sl_refs, or emit_unmapped_fallback:

  1. entity_details({connectionId, targets: [{display: ""}]}) -

confirm the identifier resolves; inspect native types, FK/PK, and sampleValues.

  1. For literal values from the source, such as status codes or plan tiers,

check whether they appear in entity_details sampleValues for the relevant column. If sampleValues is short or the sample may have missed real values, run a sql_execution probe with the same warehouse connection id: sql_execution({connectionId, sql: "SELECT DISTINCT FROM LIMIT 50"}).

  1. If the candidate identifier still does not resolve, do one of:
  • Use sql_execution({connectionId, sql: "SELECT 1 FROM LIMIT 0"}).

If it errors, the identifier is fictional.

  • Wrap the identifier in [unverified - from ] in the wiki body,

citing the exact raw path that mentioned it.

  • When recording emit_unmapped_fallback with no_physical_table, include

the failing probe error in clarification.

  1. Never copy . placeholder strings from these instructions

into output.

Source shape

For a raw table with this shape:

{
  "name": "orders",
  "db": "public",
  "columns": [
    { "name": "id", "type": "integer", "nullable": false, "primaryKey": true }
  ]
}

Write a semantic-layer source with this shape:

name: orders
table: public.orders
grain: id
columns:
  - name: id
    type: number

Use string, number, time, or boolean for column types. When a database type is ambiguous, use string.

Boundaries

The raw snapshot is structural evidence. Do not invent measures, segments, business definitions, or joins that are not present in the snapshot files.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

  • Author: Kaelio
  • Source: Kaelio/ktx
  • License: Apache-2.0
  • Homepage: https://docs.kaelio.com/ktx

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.