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 Methasit-Pun/data_engineer_claude_skills --skill schema-designgit clone --depth 1 https://github.com/Methasit-Pun/data_engineer_claude_skillsWrote 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/methasit-pun/data_engineer_claude_skills/schema-design)<a href="https://agentmods.dev/skills/methasit-pun/data_engineer_claude_skills/schema-design"><img src="https://agentmods.dev/badge/skills/methasit-pun/data_engineer_claude_skills/schema-design/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/methasit-pun/data_engineer_claude_skills/schema-design"><img src="https://agentmods.dev/badge/skills/methasit-pun/data_engineer_claude_skills/schema-design.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 | $0.00143 | $0.01596 |
| Opus 5.5 | $0.00057 | $0.00638 |
| Sonnet 5.5 | $0.00029 | $0.00319 |
| Haiku 4.5 | $0.00014 | $0.00160 |
Grade A, and why
schema-design 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 1mo 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 1mo ago First seen · 176 lines · 143 tokens per session scan A 5ccca71575c5
schema-design is a skill published in the GitHub repository Methasit-Pun/data_engineer_claude_skills (1 stars, last pushed 3mo ago), with no licence file. It adds 143 tokens to every session and 1,596 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
snowflake-dbt-model-refactoring
Refactor a bloated dbt model on Snowflake safely and produce a quantified before/after report that explains which qualities improved and why — not just raw deltas. Extends the standard refactor flow with (1) downstream impact analysis via dbt-analyze, (2) row-count + column-hash parity validation via data-parity, (3)…
optimizing-databricks-sql
Analyze DBSQL queries, including SQL embedded in notebooks (spark.sql(...), %sql cells), for anti-patterns, lint issues, and performance problems, using Databricks-specific dialect and platform knowledge (Delta, Photon, Unity Catalog) layered on top of altimate-code's generic SQL engine. Use when a user asks to…
mssql-to-snowflake-dbt-migration
Convert MS SQL Server source code (stored procs, views, T-SQL scripts) into dbt models targeting Snowflake, with build-first-then-parity, isolated-schema deployment, and a migration dashboard. Use when: (1) User says "migrate this T-SQL to dbt on Snowflake", "convert these stored procs end-to-end", "move from SQL…
end-to-end-snowflake-pipeline
Build an end-to-end Snowflake pipeline — ticket → dbt models + orchestration DAG → PR → self-review → ticket comment. Use when: (1) User says "build a pipeline for X end-to-end", "create an end-to-end flow", "set up the pipeline per JIRA-123" (2) Scope spans dbt models AND orchestration AND a PR — not just one of them…
snowflake-query-optimization
End-to-end Snowflake query optimization — fetch, rewrite, prove parity, benchmark, report. Use when: (1) User wants an end-to-end flow (fetch + rewrite + parity + benchmark + report), not just a rewrite (2) Input is a .sql file path in the repo (optionally :L10-L80 line range), OR a Snowflake queryid (UUID) (3) User…
dbt-model-enhancement
Scoped enhancement of ONE existing dbt model from a ticket, with a validated PR as the deliverable. Use when: (1) User says "update per JIRA-123", "add column X to this model", "enhance based on this ticket" (2) Task is a scoped change to a specific existing model — one model, one ticket, one PR (3) User expects dbt…