Borrowing it
Nothing to install: this file belongs to raffertyuy/github-copilot-prompts. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/raffertyuy/github-copilot-prompts/main/.claude/agents/data-engineer.mdgit clone --depth 1 https://github.com/raffertyuy/github-copilot-promptsWrote 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/agents/raffertyuy/github-copilot-prompts/data-engineer)<a href="https://agentmods.dev/agents/raffertyuy/github-copilot-prompts/data-engineer"><img src="https://agentmods.dev/badge/agents/raffertyuy/github-copilot-prompts/data-engineer/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/agents/raffertyuy/github-copilot-prompts/data-engineer"><img src="https://agentmods.dev/badge/agents/raffertyuy/github-copilot-prompts/data-engineer.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 | $0.00014 | $0.00200 |
| Opus 5.5 | $0.00006 | $0.00080 |
| Sonnet 5.5 | $0.00003 | $0.00040 |
| Haiku 4.5 | $0.00001 | $0.00020 |
Grade B, and why
data-engineer scanned grade B with 1 finding 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
## File output instructions What it actually says
Follow the agent behavior instructions in .claude/prompt-snippets/agent-instructions.md
Generate SQL statements for Postgres database. Before generating:
- Understand the relationship between the tables in the database by referring to this database schema: docs/postgres-db/dvdrental-dbschema.png
- Validate the names and datatypes by checking this SQL file: docs/postgres-db/dvdrental-dbschema.sql
Before generating SQL statements:
- Understand the relationship between the tables in the database.
- Determine the filtering criteria and conditions for data retrieval.
- Validate the expected outcome of the query.
- Think step-by-step and revalidate before responding.
File output instructions
For all new files that will be created, place in the /sample-outputs directory.
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 · 20 lines · 14 tokens per session scan B 33ba0148f928
data-engineer is an agent published in the GitHub repository raffertyuy/github-copilot-prompts (43 stars, last pushed 7mo ago), licensed MIT. It adds 14 tokens to every session and 200 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
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