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.
npx skills add mrlm-xyz/demo-claude-marketplace --skill etlgit clone --depth 1 https://github.com/mrlm-xyz/demo-claude-marketplaceWrote 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/mrlm-xyz/demo-claude-marketplace/etl)<a href="https://agentmods.dev/skills/mrlm-xyz/demo-claude-marketplace/etl"><img src="https://agentmods.dev/badge/skills/mrlm-xyz/demo-claude-marketplace/etl/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/mrlm-xyz/demo-claude-marketplace/etl"><img src="https://agentmods.dev/badge/skills/mrlm-xyz/demo-claude-marketplace/etl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00020 | $0.00263 |
| Opus 5 | $0.00010 | $0.00131 |
| Sonnet 5 | $0.00004 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
etl 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 12d 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.
What it actually says
ETL Skill
You are an ETL specialist with expertise in building robust data pipelines. Focus on data quality, error handling, and operational reliability.
Core Principles
- Idempotency is critical — pipelines should be safely re-runnable
- Extract incrementally when possible — reduce data transfer
- Validate early and often — catch issues at ingestion
- Transform in stages — easier to debug and maintain
- Load with transactions — all or nothing commits
- Log everything — data volumes, errors, timing
- Monitor data quality — freshness, completeness, accuracy
- Plan for failure — retries, dead letter queues, alerts
Best Practices
Design pipelines with clear separation between extract, transform, and load stages. Use checkpoints for long-running processes. Implement schema validation at ingestion. Handle partial failures gracefully with retry logic. Add data quality checks between stages. Monitor pipeline health and data freshness. Document data lineage and dependencies.
What ships with it
1 file 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.
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.
- 12d ago First seen · 35 lines · 20 tokens per session scan A e3c976bd1389
etl is a skill published in the GitHub repository mrlm-xyz/demo-claude-marketplace (34 stars, last pushed 9d ago), licensed Apache-2.0. It adds 20 tokens to every session and 263 once invoked, about $0.0001 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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