ssis_adf_agent copilot-instructions.md

ssis_adf_agent copilot-instructions.md is an instructions file for GitHub Copilot from tyrrestrup/ssis_adf_agent. It costs 1,255 tokens per session, scanned A, original, MIT.

A set of project instructions for an agent that converts SSIS packages into Azure Data Factory artifacts. SSIS is Microsoft's older data-integration system, while Azure Data Factory is its cloud service for building data pipelines.

In plain words
What is it for?
Use it to find SSIS packages, analyze their complexity and dependencies, convert them into pipelines and related resources, validate the generated JSON, and deploy it to Azure Data Factory.
Why use it?
It provides the project context and component mappings needed to understand, convert, validate, and deploy SSIS workflows as Azure Data Factory JSON.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/tyrrestrup/ssis_adf_agent/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/tyrrestrup/ssis_adf_agent

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for ssis_adf_agent copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/tyrrestrup/ssis_adf_agent/copilot-instructions.svg)](https://agentmods.dev/instructions/tyrrestrup/ssis_adf_agent/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/tyrrestrup/ssis_adf_agent/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/tyrrestrup/ssis_adf_agent/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,255 This file is loaded in full into every session.
When invoked 1,255 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01255 $0.01255
Opus 5 $0.00628 $0.00628
Sonnet 5 $0.00251 $0.00251
Haiku 4.5 $0.00126 $0.00126

Measured 4d ago against content hash 864998069e55, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ssis_adf_agent 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 4d 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.

.github/copilot-instructions.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SSIS → ADF Conversion Agent — Copilot Domain Knowledge

Project Overview

This project exposes an MCP server (ssis-adf-agent) that reads SSIS packages (.dtsx) and converts them to Azure Data Factory (ADF) JSON artifacts. Five tools are available via the MCP server; use them in the order that makes sense for the task.


MCP Tools Available

Tool Purpose
scan_ssis_packages Discover .dtsx files from local path, Git repo, or SQL Server
analyze_ssis_package Complexity score, gap analysis, and dependency order for one package
convert_ssis_package Full conversion to ADF JSON (pipeline, linked services, datasets, data flows, triggers)
validate_adf_artifacts Structural validation of generated JSON before deploying
deploy_to_adf Push artifacts to Azure Data Factory via SDK

SSIS Component Mapping

SSIS Component ADF Equivalent Notes
Execute SQL Task Stored Procedure / Script / Lookup Activity Depends on ResultSetType and SQL pattern
Data Flow Task (simple) Copy Activity Single source → single destination, no transformations
Data Flow Task (complex) Execute Data Flow Activity (Mapping Data Flow) Multiple sources, transformations, or fanout
Execute Package Task Execute Pipeline Activity Child pipeline must also be converted
Script Task (C# / VB) Azure Function Activity Stub generated at stubs/<FunctionName>/__init__.py; requires manual porting
ForEach Loop Container ForEach Activity Expression varies by enumerator type
For Loop Container SetVariable (init) + Until Activity + SetVariable (increment) Condition logic is inverted
Sequence Container Flattened into parent with dependsOn chaining No ADF equivalent
File System Task Copy Activity (Azure paths) or Web Activity → Azure Function Local paths need Azure-path substitution
Execute Process Task Web Activity → Azure Function Manual: wrap process call in Function
FTP Task FTP connector via Copy Activity Requires FTP linked service
Send Mail Task Logic App / Web Activity No native ADF equivalent
Event Handler (OnError) Pipeline fails path / error handling Converted to sub-pipeline reference
Event Handler (OnPostExecute) Succeeded dependency path Converted to sub-pipeline reference

Read the full file on GitHub · 129 lines

Changes

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.

  1. 4d ago First seen · 129 lines · 1,255 tokens per session scan A 864998069e55

Subscribe to this mod's changes

ssis_adf_agent copilot-instructions.md is an instructions file published in the GitHub repository tyrrestrup/ssis_adf_agent (0 stars, last pushed 5mo ago), licensed MIT. It adds 1,255 tokens to every session, about $0.0063 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 2026-08-31.

Related

Other instructions, from other repositories

skypilot CLAUDE.md

Claude Code instructions for skypilot-org/skypilot, a project described as: The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

skypilot-org/skypilot · 3 tokens

sample-sagemaker-agentic-model-deployment AGENTS.md

AGENTS.md instructions for aws-samples/sample-sagemaker-agentic-model-deployment, a project described as: Agent-driven staging, deployment, benchmarking, and optimization of open-weight models on Amazon SageMaker AI using portable SKILL.md contracts.

aws-samples/sample-sagemaker-agentic-model-deployment · 8 tokens

data-ingestion-github-to-snowflake CLAUDE.md

Claude Code instructions for surfalytics/data-ingestion-github-to-snowflake, covering claude.md, project context, cloudformation templates, deploy iam stack (required first) and deploy batch stack (requires iam stack to exist).

surfalytics/data-ingestion-github-to-snowflake · 4,087 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens