data-generation

data-generation is a skill for Claude Code from Red-Hat-AI-Innovation-Team/sdg_hub. It costs 49 tokens per session (365 once invoked), scanned A, original, Apache-2.0.

Instructions for running synthetic data generation, which creates artificial data for testing or development. They cover checking the environment, choosing a generation flow, running it, and reporting the results.

In plain words
What is it for?
Use them to check the setup, select or run an sdg_hub flow, perform a small test run, and report row counts, output location, and errors.
Why use it?
They provide a repeatable way to detect setup problems and run data generation while showing what succeeded or failed.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the sdg-hub plugin — 4 skills, 2 hooks shipped together

Good fit Use them to check the setup, select or run an sdg_hub flow, perform a small test run, and report row counts, output location, and errors.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add Red-Hat-AI-Innovation-Team/sdg_hub
Claude Code
/plugin install sdg-hub

Made for: Claude Code.

Or install sdg-hub, the plugin that ships this one along with the rest of its 4 skills, 2 hooks.

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 data-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/red-hat-ai-innovation-team/sdg_hub/data-generation/github.svg)](https://agentmods.dev/skills/red-hat-ai-innovation-team/sdg_hub/data-generation)
Your own site
<a href="https://agentmods.dev/skills/red-hat-ai-innovation-team/sdg_hub/data-generation"><img src="https://agentmods.dev/badge/skills/red-hat-ai-innovation-team/sdg_hub/data-generation/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 data-generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/red-hat-ai-innovation-team/sdg_hub/data-generation"><img src="https://agentmods.dev/badge/skills/red-hat-ai-innovation-team/sdg_hub/data-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 365 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 $0.00049 $0.00365
Opus 5 $0.00024 $0.00182
Sonnet 5 $0.00010 $0.00073
Haiku 4.5 $0.00005 $0.00036

Measured 11d ago against content hash b89e224c1ba6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

data-generation 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 11d 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.

.claude/skills/data-generation/SKILL.md · 43 lines

What it actually says

Run Data Generation

Execute synthetic data generation using sdg_hub flows. For approach selection, custom flow authoring, and block reference, consult the synthetic-data-generation skill.

Step 1: Check Environment

"${CLAUDE_PLUGIN_ROOT}/scripts/sdg_detect.sh"

If not ready

  • library=missing or config=missing: invoke the setup-guide skill.

If ready (library=installed, config=found)

Proceed to Step 2.

Step 2: Execute Generation

If the user doesn't specify a flow, invoke the flow-browser skill to find one.

Recommend starting with --sample 2 for a dry run.

"${CLAUDE_PLUGIN_ROOT}/scripts/sdg_generate.sh" $ARGUMENTS

Step 3: Present Results

  1. Generation status — Whether generation completed successfully
  2. Row counts — Input rows processed and output rows generated
  3. Output location — Path to the generated dataset
  4. Errors — If any rows failed, report the count

If generation failed, consult the synthetic-data-generation skill for troubleshooting.

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. 11d ago First seen · 43 lines · 49 tokens per session scan A b89e224c1ba6

Subscribe to this mod's changes

data-generation is a skill published in the GitHub repository Red-Hat-AI-Innovation-Team/sdg_hub (161 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 365 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 2026-08-30.

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