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.
git 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/commands/mrlm-xyz/demo-claude-marketplace/transform)<a href="https://agentmods.dev/commands/mrlm-xyz/demo-claude-marketplace/transform"><img src="https://agentmods.dev/badge/commands/mrlm-xyz/demo-claude-marketplace/transform/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/commands/mrlm-xyz/demo-claude-marketplace/transform"><img src="https://agentmods.dev/badge/commands/mrlm-xyz/demo-claude-marketplace/transform.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 | $0.00015 | $0.00243 |
| Opus 5 | $0.00008 | $0.00121 |
| Sonnet 5 | $0.00003 | $0.00049 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
transform 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.
What it actually says
Transform Command
Build data transformation pipelines that reshape, aggregate, and enrich data while maintaining quality.
Scope
This command creates transformation code that:
- Performs SQL transformations (aggregations, joins, window functions)
- Applies business logic and calculations
- Enriches data from multiple sources
- Validates transformed data quality
- Handles edge cases and nulls appropriately
- Optimizes for query performance
Execution Flow
- Understand source data and target requirements
- Design transformation logic with clear stages
- Write SQL or transformation code with optimization
- Add data quality validations
- Implement error handling for edge cases
- Test with diverse data samples
- Benchmark performance with realistic volumes
- Document transformation logic and assumptions
Constraints
- Use data-toolkit skills for implementation
- Keep transformations composable and testable
- Optimize for both correctness and performance
- Add comments explaining business logic
- Handle nulls and missing data explicitly
- Validate outputs match expected schema
- Test with edge cases and boundary conditions
- Consider incremental vs full refresh tradeoffs
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.
- 11d ago First seen · 40 lines · 15 tokens per session scan A e128e20df320
transform is a command published in the GitHub repository mrlm-xyz/demo-claude-marketplace (34 stars, last pushed 9d ago), licensed Apache-2.0. It adds 15 tokens to every session and 243 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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