agami-connect

agami-connect is a skill for Claude Code from AgamiAI/agami-core. It costs 162 tokens per session (31,554 once invoked), scanned B, original, no licence file.

A database setup and inspection tool for agami. It collects connection details, then examines the live database to describe its tables, columns, relationships, and other data structures.

In plain words
What is it for?
Use it to configure database credentials and import the database structure into agami's semantic model.
Why use it?
It removes the need to build agami's database description by hand and helps connect the semantic model to the actual database.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the agami-core plugin — 9 skills shipped together

Good fit Use it to configure database credentials and import the database structure into agami's semantic model.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agamiai/agami-core/agami-connect
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add AgamiAI/agami-core --skill agami-connect
Clone the repo
git clone --depth 1 https://github.com/AgamiAI/agami-core

Made for: Claude Code.

Or install agami-core, the plugin that ships this one along with the rest of its 9 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agami-connect

README.md
[![agentmods](https://agentmods.dev/badge/skills/agamiai/agami-core/agami-connect.svg)](https://agentmods.dev/skills/agamiai/agami-core/agami-connect)
Your own site
<a href="https://agentmods.dev/skills/agamiai/agami-core/agami-connect"><img src="https://agentmods.dev/badge/skills/agamiai/agami-core/agami-connect.svg" alt="Measured on agentmods" height="20"></a>
Per session 162 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 31,554 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00162 $0.31554
Opus 5 $0.00081 $0.15777
Sonnet 5 $0.00032 $0.06311
Haiku 4.5 $0.00016 $0.03155

Measured 8d ago against content hash 0f8206cc1e84, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade B, and why

agami-connect scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

1. **Resolve the environment** — `python3 "$AGAMI_PLUGIN_ROOT/scripts/connect_resolve.py" [--db-type <t>] [--profile <p>]` prints `{data, anomalies}` (self-describing JSON): profile, artifacts_dir, the `[<profile>]` cred
plugins/agami/skills/agami-connect/SKILL.md · 1,054 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 1,054 lines · 162 tokens per session scan B 0f8206cc1e84

Subscribe to this mod's changes

agami-connect is a skill published in the GitHub repository AgamiAI/agami-core (29 stars, last pushed today), with no licence file. It adds 162 tokens to every session and 31,554 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

pgvector-semantic-search

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. Trigger when user asks to: Store or search vector embeddings in PostgreSQL Set up semantic search, similarity search, or nearest neighbor search Create HNSW or IVFFlat indexes for vectors…

timescale/pg-aiguide · 190 tokens

postgres-hybrid-text-search

Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). Trigger when user asks to: Combine keyword and semantic search Implement hybrid search or multi-modal retrieval Use BM25/pgtextsearch with pgvector together Implement RRF (Reciprocal…

timescale/pg-aiguide · 162 tokens

cwicr-data-loader

Load and parse DDC CWICR construction cost database from multiple formats: Parquet, Excel, CSV, Qdrant snapshots. Foundation for all CWICR operations.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction · 41 tokens

laravel-vector-search

Use when implementing semantic/vector search in Laravel 13 with PostgreSQL + pgvector.

fusengine/agents · 22 tokens

using-datavault4dbt

Builds Data Vault 2 models in dbt with the datavault4dbt package — staging, hubs, links, satellites, and business-vault entities — using the YAML-metadata macro pattern with correct hashkeys, hashdiffs, naming, and materializations. Use when creating or editing datavault4dbt models, setting up a raw vault, choosing…

ScalefreeCOM/datavault4dbt-agent-skills · 102 tokens

neon-postgres-agent-platforms

Build and operate multi-tenant AI agent platforms on Neon. Use this skill whenever the user is designing an agent/app builder, provisioning a Neon project or database per user/app/agent run, managing thousands of tenant projects, separating sponsored free users from paid customers, moving projects between orgs…

georgekhananaev/claude-skills-vault · 148 tokens