assess-sas-migration

assess-sas-migration is a skill for Claude Code from sfc-gh-dflippo/snowflake-dbt-demo. It costs 93 tokens per session (3,248 once invoked), scanned A, original, Apache-2.0.

An analysis tool that measures the size and complexity of a collection of SAS programs before migration to Snowflake. It produces dependency diagrams, complexity groupings, and an order for migration waves.

In plain words
What is it for?
Use it to assess .sas files, classify conversion difficulty, map which programs depend on others, and optionally prepare an effort and staffing plan.
Why use it?
It helps teams understand scope and dependencies before converting code, so they can decide what to migrate first.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Two independent axes** (see `../references/block-tiering-spec.md`):.

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

Good fit Use it to assess .sas files, classify conversion difficulty, map which programs depend on others, and optionally prepare an effort and staffing plan.

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/assess-sas-migration

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 assess-sas-migration

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/assess-sas-migration"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/assess-sas-migration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,248 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 $0.00093 $0.03248
Opus 5 $0.00046 $0.01624
Sonnet 5 $0.00019 $0.00650
Haiku 4.5 $0.00009 $0.00325

Measured 2d ago against content hash 1815c9ca77d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

assess-sas-migration 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 12 executable files (tool/assess_sas.py, tool/emit_cur.py, tool/sas_analyzer/__init__.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/sas/assess-sas-migration/SKILL.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Assess SAS Migration

© Snowflake Inc. This skill and its contents are the proprietary intellectual property of Snowflake Inc.

Analysis-only tool for assessing SAS-to-Snowflake migration complexity, volume, and sequencing.

Purpose: Pre-conversion assessment that informs the convert-sas-to-snowflake skill with portfolio-level insights, per-file tier classification, and a migration wave plan.

Output: A merged assessment report (assessment_complete.md) covering executive summary, CLI quantitative detail, dependency DAG, complexity analysis, a migration wave plan, open questions & dependencies, and recommendations — backed by the CLI's JSON/Markdown/Mermaid artifacts. On request, a separate effort_staffing_plan.md adds effort + staffing and embeds the same wave plan.


Architecture

User provides SAS files
        │
        ▼
┌─────────────────────────────┐
│  Python CLI (assess_sas.py) │  ← Standalone, no Snowflake needed
│  - Parse .sas files         │
│  - Score complexity         │
│  - Classify tiers           │
│  - Build dependency graph   │
└──────────────┬──────────────┘
               │ Produces:
               ▼
    assessment.json
    assessment_report.md
    assessment_report.html
    dependency_dag.mmd
               │
               ▼
┌─────────────────────────────┐
│  This Skill (CoCo layer)    │  ← Adds judgment + qualitative analysis
│  - Complexity analysis      │     (reads .sas source directly)
│  - Migration wave plan      │
│  - Effort estimation (opt-in)│
│  - Staffing model (opt-in)  │
│  - Executive summary        │
└─────────────────────────────┘

Two analysis layers:

  1. Python CLI (default, quantitative): parses, scores, classifies, builds the DAG. Fast and deterministic.
  2. CoCo-native (additive, qualitative): the skill reads the .sas files directly to explain areas of complexity — themes, construct hotspots, and risks — on top of the CLI numbers. If the CLI cannot run (no Python, or user opts out), this layer runs standalone using the heuristics in references/complexity-analysis.md.

Read the full file on GitHub · 285 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 · 285 lines · 93 tokens per session scan A 1815c9ca77d1

Subscribe to this mod's changes

assess-sas-migration 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 93 tokens to every session and 3,248 once invoked, about $0.0005 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.

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