sql-migration-waves-generator

sql-migration-waves-generator is a skill for Claude Code from sfc-gh-dflippo/snowflake-dbt-demo. It costs 39 tokens per session (3,157 once invoked), scanned A, original, Apache-2.0.

A migration planning tool that examines dependencies between SQL and data-processing objects and groups them into ordered deployment waves.

In plain words
What is it for?
It helps plan SQL or ETL migrations, create dependency-aware batches, and produce one JSON plan for deployment.
Why use it?
It reduces the risk of deploying an object before the tables, views, or other objects it depends on, while helping organise migration batch sizes.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is If yes, return to the parent skill (`../SKILL.md`) and follow its **Report Generation** section using `generate_multi_report.py` ONLY..

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

Good fit It helps plan SQL or ETL migrations, create dependency-aware batches, and produce one JSON plan for deployment.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demo
agentmods
npx agentmods add skills/sfc-gh-dflippo/snowflake-dbt-demo/waves-generator

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 sql-migration-waves-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/waves-generator/github.svg)](https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/waves-generator)
Your own site
<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/waves-generator"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/waves-generator/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 sql-migration-waves-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/waves-generator"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/waves-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,157 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 $0.00039 $0.03157
Opus 5 $0.00019 $0.01579
Sonnet 5 $0.00008 $0.00631
Haiku 4.5 $0.00004 $0.00316

Measured 2d ago against content hash 381c48e841b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sql-migration-waves-generator 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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/generate_html_report.py, scripts/load_data_html_report.py, scripts/registry_support.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/assessment/waves-generator/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Migration Waves/Partition Generator

Overview

This skill produces a deployment wave plan for database/ETL migrations by running the SCAI CLI command scai assessment waves from inside a SCAI project. The command builds the dependency graph directly from the project's registry, assigns priority tiers, partitions objects into dependency-ordered waves, and emits a single consolidated JSON file.

Use this skill when:

  • Planning SQL database and/or ETL migration deployment sequences
  • Creating deployment waves that respect object dependencies
  • Optimizing migration batch sizes for deployment

Sub-Agent Mode

When invoked from a parent skill (e.g., assessment/SKILL.md) as a sub-agent, the parent provides a context block with the fields below. Skip the prompts in Required User Interactions whenever the corresponding fields are present in the context block — sub-agents must not block on stdin.

Field Required Notes
project_dir yes absolute path to the SCAI project root
partition_min_size yes integer; maps to --min-size
partition_max_size yes integer; maps to --max-size
prioritization_globs yes list of glob strings; emit one --prioritize <glob> per entry; pass nothing if empty
wave_ordering yes category (default) or dependency (adds --no-category-waves)
output_dir yes typically <project_dir>/assessment

On entry: call the configure MCP tool with project_dir from the context block. Snowflake credentials are not required — scai assessment waves reads only the local registry.

Pass every required input as a CLI flag. If scai assessment waves still requests TTY input for any reason, fail fast and report the missing flag — do not block waiting for stdin.

On completion, return JSON only (no surrounding prose):

{
  "sub_skill": "waves-generator",
  "status": "ok",
  "output_json": "<abs path to waves_analysis_*.json>",
  "summary": "<one-line counts: partitions, sccs, objects>",
  "error": null
}

Read the full file on GitHub · 288 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 288 lines · 39 tokens per session scan A 381c48e841b4

Subscribe to this mod's changes

sql-migration-waves-generator 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 39 tokens to every session and 3,157 once invoked, about $0.0002 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