add-code-units

add-code-units is a skill for Claude Code from sfc-gh-dflippo/snowflake-dbt-demo. It costs 58 tokens per session (1,442 once invoked), scanned A, original, Apache-2.0.

A file-import step that adds local SQL files to a migration project and organizes them by object type. It can split files containing several database objects before importing them.

In plain words
What is it for?
Use it to import a directory of SQL source files so they are ready for conversion.
Why use it?
It removes the manual work of copying and arranging existing SQL files into the project's source folders. It is for code already stored on disk, not code that must be read from a live database.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Part of the snowflake-migration plugin — 72 skills, 7 agents shipped together

Good fit Use it to import a directory of SQL source files so they are ready for conversion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sfc-gh-dflippo/snowflake-dbt-demo/add-code-units
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 sfc-gh-dflippo/snowflake-dbt-demo --skill add-code-units
Clone the repo
git clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demo

Made for: Claude Code.

Or install snowflake-migration, the plugin that ships this one along with the rest of its 72 skills, 7 agents.

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 add-code-units

README.md
[![agentmods](https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/add-code-units/github.svg)](https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/add-code-units)
Your own site
<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/add-code-units"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/add-code-units/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for add-code-units

Your own site · 80×15
<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/add-code-units"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/add-code-units.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,442 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.00058 $0.01442
Opus 5 $0.00029 $0.00721
Sonnet 5 $0.00012 $0.00288
Haiku 4.5 $0.00006 $0.00144

Measured 2d ago against content hash 531ad6f80920, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

add-code-units scanned grade A with 0 findings 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 2d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/snowflake-migration/skills/migration/register-code-units/add-code-units/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add Local Source Code

On Entry

Tell the user:

Importing local SQL files.

I'll handle this for you — importing your local SQL files and organizing them by type into source/, ready for conversion. It's a single automated step; you won't need to copy, arrange, or move anything yourself.

Prerequisites

  • Migration project initialized (scai init)
  • Local directory containing SQL source files

Workflow

Step 1: Get Source Path

Ask the user for the path to their source SQL files:

"Where are your SQL source files located? Please provide the full path to the directory."

Step 2: Annotate Multi-Object Files with sc-tags

scai code add uses the arrange engine to split files into one object per code unit. For non-T-SQL dialects the engine splits on /* <sc-...> */ boundary tags. Before importing, call the split_code MCP tool to detect files that contain more than one top-level object and inject those tags automatically.

split_code(input_path="<INPUT_PATH>")
  • If all files are single-object, the tool says so and you can skip ahead to Step 3 using <INPUT_PATH> directly.
  • If multi-object files are found, the tool copies all .sql files to artifacts/source_split/, injects the sc-tags, verifies the result, and tells you to use artifacts/source_split as the input for Step 3.

The tool handles the full detect → inject → verify cycle in one call. It is OS-agnostic and does not require Python.

Example — what the tool injects before each object in a multi-object file:

/* <sc-table>sales.public.customers</sc-table> */
CREATE TABLE sales.public.customers (
  id INT,
  name VARCHAR(100)
);

/* <sc-view>sales.public.v_active_customers</sc-view> */
CREATE VIEW sales.public.v_active_customers AS
SELECT * FROM sales.public.customers WHERE active = 1;

T-SQL note: T-SQL files do not need this step — the engine has a native T-SQL splitter. Skip Step 2 for T-SQL source files.

Step 3: Add Code to Project

Use the path returned by split_code (or <INPUT_PATH> directly if no multi-object files were found):

Read the full file on GitHub · 151 lines

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. 2d ago First seen · 151 lines · 0 tokens per session scan A 531ad6f80920

Subscribe to this mod's changes

add-code-units is a skill published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed 3d ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,442 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-10.

Related

Other skills, from other repositories

create-pr

Creates a GitHub PR with a Linear-ticket-prefixed title and a decision-led, narrative description for Prisma 8. Use when the user wants to create a pull request, open a PR, or submit changes for review.

prisma/orm · 48 tokens

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

nornicdb-cypher-queries

Pick fast, predictable Cypher query shapes in NornicDB — point lookups, batch retrieval, pagination, search, traversal, batched UNWIND/MERGE writes, cleanup, multi-tenant isolation. Use when writing or reviewing Cypher whose latency or throughput matters; maps user intent to the executor's hot-path query templates.

orneryd/NornicDB · 79 tokens

supabase

Supabase / PostgREST Row-Level-Security playbook — pull the anon (or leaked servicerole) key out of the frontend JS, map tables from the auto-generated OpenAPI spec, test anonymous RLS READ disclosures (PII/secret leaks), and anonymous RLS WRITE abuse (insert/update/delete — e.g. forging…

PentesterFlow/agent · 120 tokens

volcengine-rds-postgresql

A tool for operating PostgreSQL databases hosted by Volcano Engine's managed database service. PostgreSQL is a relational database used to store structured application data.

bytedance/agentkit-samples · 63 tokens