testbed-generator

testbed-generator is a skill for Claude Code from sfc-gh-dflippo/snowflake-dbt-demo. It costs 282 tokens per session (4,764 once invoked), scanned A, original, Apache-2.0.

A tool for creating a repeatable synthetic test dataset for a data migration. It mines source workloads for constraints and branches, checks readiness, and compiles the information needed to generate data.

In plain words
What is it for?
It runs the testbed's mine, validate, enrich, compile, and generate phases and produces a CSV data pool with a manifest when the checks are ready.
Why use it?
It exposes missing relationships, type conflicts, and other constraints before generated data is used for migration testing.

Skill for Claude Code

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

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

Good fit It runs the testbed's mine, validate, enrich, compile, and generate phases and produces a CSV data pool with a manifest when the checks are ready.

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Install with agentmods
npx agentmods add skills/sfc-gh-dflippo/snowflake-dbt-demo/testbed-generator
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 testbed-generator
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 testbed-generator

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/testbed-generator"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/testbed-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 282 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,764 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 $0.00282 $0.04764
Opus 5 $0.00141 $0.02382
Sonnet 5 $0.00056 $0.00953
Haiku 4.5 $0.00028 $0.00476

Measured 2d ago against content hash 494781695d4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

testbed-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 10 executable files (scripts/assembler.py, scripts/critic_backbone.py, scripts/critic_benchmark.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/migrate-objects/baseline-capture/testbed-generator/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Testbed generator — mine + validate + enrich + compile + generate

Drives the deterministic scai testbed mine, validate, enrich, compile, and generate phases for the whole workload. The data lives in the CLI's opaque state; this skill only sequences subcommands and surfaces their JSON. It replaces production data, not source access — a source connection is still required downstream to capture the baseline.

The core phases are independent and resumable: mine (initlist-unsolved → whole-workload branch drill-down) inventories the constraint/branch coverage; validate reads the mined state and reports readiness (fk gaps / type conflicts / unsatisfied constraints) — ready: false is a report, not a failure; enrich is the reasoning + propose/validate loop that turns unsolved constraints into enrichment JSON (see the Orchestrate phase below); compile materializes the data-coupling clusters + coordination spec that data generation consumes; generate (readiness-gated) writes the CSV pool + manifest deliverable. Each phase is deterministic — re-running it is safe and cheap.

On Entry

Tell the user:

"Running the testbed mine → validate → enrich → compile → generate phases: I'll inventory the branch/constraint coverage your converted workload needs and show the categorized unsolved-constraint view, report readiness (fk gaps / type conflicts / unsatisfied constraints), run the enrichment loop that turns the unsolved constraints into enrichment JSON (assemble → propose → validate, with a bounded retry/iterate budget), compile the data-coupling / coordination spec and show its cluster summary, then — readiness permitting — generate the CSV pool + manifest and show the row counts. This reads the conversion artifacts and the testbed state; the enrich phase mutates that state (through propose-enrichments) and only the generate phase writes data files."

Scope

  • In scope: initlist-unsolved (mine) → surface the categorized view; validate → surface the readiness view; compile → surface the cluster summary; the two-pass ENRICH reasoning (structural then value prompts) that turns unsolved constraints into enrichment JSON (§enrich below); generate (readiness-gated) → surface row counts + CSV/manifest deliverable; resume each phase; classify failures.
  • In scope (orchestrate): assemble the per-type fragments into the 8-array envelope, drive propose-enrichments/validate with a bounded retry/iterate budget, emit observability counts (SNOW-3782435).
  • Out of scope: generate's CSV internals; the per-object test-YAML bridge.
  • Phase-scoped runs: each driver subcommand (mine, validate, enrich, compile, generate) can be run and stopped independently — e.g. run validate to inspect readiness without generating data.

Read the full file on GitHub · 195 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 · 195 lines · 282 tokens per session scan A 494781695d4f

Subscribe to this mod's changes

testbed-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 282 tokens to every session and 4,764 once invoked, about $0.0014 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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