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 agentmods add instructions/vaquarkhan/data-engineering-agent-skills/copilot-instructionsgit clone --depth 1 https://github.com/vaquarkhan/data-engineering-agent-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/instructions/vaquarkhan/data-engineering-agent-skills/copilot-instructions)<a href="https://agentmods.dev/instructions/vaquarkhan/data-engineering-agent-skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/vaquarkhan/data-engineering-agent-skills/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00265 | $0.00265 |
| Opus 5 | $0.00133 | $0.00133 |
| Sonnet 5 | $0.00053 | $0.00053 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
data-engineering-agent-skills copilot-instructions.md 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 5d 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
Copilot Instructions
Use the shared data engineering skill pack from this repository as the primary workflow source.
Loading Order
- Start with
AGENTS.md - Use
skills/using-data-engineering-agent-skills/SKILL.md - Load one platform preset from
presets/ - Load one or more workflow skills from
skills/ - Use checklist references from
references/for review and verification
Behavior
- prefer specification before code changes
- keep contracts, grain, and ownership explicit
- do not treat a successful run as proof of correctness
- prefer small, verifiable changes over wide rewrites
- use examples and templates when starting a new data product
- treat
/validateand/backfillas first-class workflow phases
Common Task Mappings
- new data product:
data-specification,pipeline-planning-and-task-breakdown - warehouse modeling:
warehouse-and-schema-design,dbt-and-analytics-engineering - lakehouse:
data-lake-and-zone-architecture,lakehouse-table-format-engineering - streaming:
streaming-and-messaging-systems,data-observability-and-sla-management - incidents:
incident-triage-and-pipeline-recovery
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.
- 5d ago First seen · 29 lines · 265 tokens per session scan A 2dfb414d80ac
data-engineering-agent-skills copilot-instructions.md is an instructions file published in the GitHub repository vaquarkhan/data-engineering-agent-skills (40 stars, last pushed 2mo ago), licensed MIT. It adds 265 tokens to every session, about $0.0013 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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agentic-engineering-for-apache-kafka AGENTS.md
Instructions for lensesio/agentic-engineering-for-apache-kafka, covering agents.md, project overview, project structure, skill structure conventions and kafka skills.
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hiveshare CLAUDE.md
Instructions for KB-perByte/hiveshare, covering hiveshare — claude.md, repo layout, build & run, key env vars (server) and naming: hive vs memory.
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Instructions for kleosr/kleosrules, a project described as: Cursor harness pack: user rules, skills, Bash hooks, local HANDOFF memory. macOS, Linux, Windows (WSL).
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Instructions for ASER-ho/coding-agent-safety-gate, covering agents / 代理规则, 仓库类型 / repository type and ai 代理规则 / rules for ai coding agents.
data-scientist copilot-instructions.md
Instructions for realnghon/data-scientist, covering github copilot — 项目指令：data scientist 工作流 and 共享核心 — 回答前请阅读.