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/worker-spcsWrote 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/worker-spcs)<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/worker-spcs"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/worker-spcs/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/worker-spcs"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/worker-spcs.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 | $0.00057 | $0.02084 |
| Opus 5 | $0.00028 | $0.01042 |
| Sonnet 5 | $0.00011 | $0.00417 |
| Haiku 4.5 | $0.00006 | $0.00208 |
Grade A, and why
worker-spcs 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Worker Setup — SPCS
Deploy the Data Exchange Worker as a Snowpark Container Services (SPCS) service. SPCS automatically provides Snowflake authentication via @SPCS_CONNECTION — no Snowflake credentials are needed in the service spec.
Run worker instances on a compute pool that will stay active for the full migration. SPCS automatically restarts instances if they stop.
Step 1 — Image Version
The worker image version is pinned to your scai CLI release — do not use SHOW IMAGES to pick the latest tag, as it may be incompatible with this version of the CLI.
Get the pinned version by running the setup command (it logs the image it would use):
scai data worker setup --compute-pool <compute_pool>
The CLI logs: Using pinned Data Exchange Worker image: /snowflake/images/snowflake_images/data-exchange-worker:<version>
Record that exact version tag (e.g., 1.11.1). Use it as <version> in all subsequent steps. If the setup command succeeds and creates the SPCS service automatically, you are done — skip to Step 5 (Verify and Remind). Only continue through the remaining steps if you need to customize the service spec (e.g., to set a custom compute pool instance size or add external access integrations).
Note: The image tag is a version number (e.g., 1.12.0), not a platform identifier. The source database type is controlled by the DATA_SOURCE_TYPE environment variable. Read it from the project's scai source connection:
| Source system | DATA_SOURCE_TYPE |
|---|---|
| SQL Server | sqlserver |
| Redshift | redshift |
| Oracle | oracle |
| Teradata | teradata |
| PostgreSQL | postgresql |
Step 2 — Affinity Label
In all steps below, substitute every <placeholder> token with its actual value — never output a literal <placeholder> string. Key substitutions:
<label>— the affinity label confirmed in this step<project>— slug derived the same way as<label>, used for naming secrets<version>— the image version from Step 1<compute_pool>— from the compute pool configured in the parent skill's Question 0<source_type>,<host>,<port>,<database>— from the project's scai source connection<warehouse>— from the parent skill's Question 2<replica_count>— the instance count the user provides in Step 4<driver-download-host>— (Oracle/Teradata only) the hostname of the NuGet driver download endpoint; ask the user for this value if they are on Oracle or Teradata
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 · 181 lines · 0 tokens per session scan A c59713241cab
worker-spcs 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 57 tokens to every session and 2,084 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.
Other skills, from other repositories
azd-deployment
Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.
openshell-cli
Guide agents through using the OpenShell CLI (openshell) for sandbox management, gateway registration, provider configuration and refresh, policy iteration, settings, service exposure, BYOC workflows, and attached-provider inference. Covers basic through advanced multi-step workflows. Trigger keywords - openshell…
langbot-deploy
Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot…
compute-env-setup
Set up a compute environment on a remote provider so Claude Science jobs can run there. Covers direct SSH/conda hosts, Slurm clusters, container-via-bridge runners, and managed-API providers (Modal, GCP, RunPod). Use when standing up a new provider, porting an env to a different backend, adding a tool that needs its…
azure-cloud-migrate
Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud…
atmos-helmfile
Helmfile orchestration: sync/apply/destroy/diff, Kubernetes deployments, varfile generation, EKS integration, source management.