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.
git clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demonpx agentmods add skills/sfc-gh-dflippo/snowflake-dbt-demo/assess-sas-migrationWrote 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.
[](https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/assess-sas-migration)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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:
- Python CLI (default, quantitative): parses, scores, classifies, builds the DAG. Fast and deterministic.
- CoCo-native (additive, qualitative): the skill reads the
.sasfiles 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 inreferences/complexity-analysis.md.
What ships with it
23 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.
- references/complexity-analysis.md 4.5 KB
- references/sizing-model.md 2.8 KB
- references/threshold-calibration.md 3.3 KB
- references/wave-planning.md 4.8 KB
- templates/assessment-report.md 11 KB
- templates/effort-staffing-report.md 3.6 KB
- tool/assess_sas.py 5.6 KB runs code
- tool/config.json 151 B
- tool/emit_cur.py 3.6 KB runs code
- tool/README.md 3.0 KB
- tool/requirements.txt 88 B
- tool/sas_analyzer/__init__.py 433 B runs code
- tool/sas_analyzer/assets/snowconvert_ai_logo.svg 2.9 KB
- tool/sas_analyzer/assets/snowflake_logo.svg 6.9 KB
- tool/sas_analyzer/classifier.py 5.4 KB runs code
- tool/sas_analyzer/constants.py 3.5 KB runs code
- tool/sas_analyzer/cur_emitter.py 16 KB runs code
- tool/sas_analyzer/dependency.py 7.6 KB runs code
- tool/sas_analyzer/html_report.py 22 KB runs code
- tool/sas_analyzer/parser.py 15 KB runs code
- tool/sas_analyzer/reporter.py 12 KB runs code
- tool/sas_analyzer/scorer.py 6.1 KB runs code
- tool/tests/test_cur_emitter.py 8.4 KB runs code
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.
- 2d ago First seen · 285 lines · 93 tokens per session scan A 1815c9ca77d1
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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