Agami Connect | Agent Skills Atlas

About this skill

End-to-end database connection for agami: sets up credentials on first run (DB-type picker → writes ~/.agami/credentials.example for the user to fill in), then introspects the live DB directly into the agami semantic model (subject areas, tables, columns, relationships with join cardinality, deep-table column groups, sensitive-column flags) under / /. The structural model is built deterministically by scripts/semanticmodel (catalog mode, or a probe-mode fallback when the catalog is locked down); the skill then layers LLM enrichment (descriptions, entities, metrics) and seeds EXPLAIN-validated NL→SQL examples. Every model write is gated by the semantic-model validator — no breaking model is ever persisted.

Quick start

Copy the install prompt. Use the green button above this README.
Send it to your agent. Paste it into your coding agent’s chat and send.
Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.

Installation guide →

Review, license & listing details

Review the source before using this skill

This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.

Automated security scan: Partial

Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.

0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 682c8a96ec7d7c560bc027e881922d81e899a3860d71166da600f02c254799b6

About scan coverage and limitations

Original listing metadata

Original name

agami-connect

Original description

End-to-end database connection for agami: sets up credentials on first run (DB-type picker → writes ~/.agami/credentials.example for the user to fill in), then introspects the live DB directly into the agami semantic model (subject areas, tables, columns, relationships with join cardinality, deep-table column groups, sensitive-column flags) under <artifacts_dir>/<profile>/. The structural model is built deterministically by scripts/semantic_model (catalog mode, or a probe-mode fallback when the catalog is locked down); the skill then layers LLM enrichment (descriptions, entities, metrics) and seeds EXPLAIN-validated NL→SQL examples. Every model write is gated by the semantic-model validator — no breaking model is ever persisted.

About this listing

Category: Security
Reported license: Apache-2.0
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.