linkedin.asisaga.com azure-functions.instructions.md

linkedin.asisaga.com azure-functions.instructions.md is an instructions file for GitHub Copilot from ASISaga/linkedin.asisaga.com. It costs 1,077 tokens per session, scanned A, original, Apache-2.0.

Coding guidance for Python projects that use Azure Functions, Microsoft’s serverless platform, and AOS workflow patterns.

In plain words
What is it for?
Use it when implementing AOSApp workflows, Azure Functions entry points, Service Bus triggers, HTTP triggers, and long-running orchestrations.
Why use it?
It standardizes how applications, workflows, triggers, health checks, logging, and orchestration are connected.

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/asisaga/linkedin.asisaga.com/azure-functions
Clone the repo
git clone --depth 1 https://github.com/ASISaga/linkedin.asisaga.com

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 linkedin.asisaga.com azure-functions.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/asisaga/linkedin.asisaga.com/azure-functions.svg)](https://agentmods.dev/instructions/asisaga/linkedin.asisaga.com/azure-functions)
Your own site
<a href="https://agentmods.dev/instructions/asisaga/linkedin.asisaga.com/azure-functions"><img src="https://agentmods.dev/badge/instructions/asisaga/linkedin.asisaga.com/azure-functions.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,077 This file is loaded in full into every session.
When invoked 1,077 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 $0.01077 $0.01077
Opus 5 $0.00539 $0.00539
Sonnet 5 $0.00215 $0.00215
Haiku 4.5 $0.00108 $0.00108

Measured 3d ago against content hash 29e5702269c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

linkedin.asisaga.com azure-functions.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 3d 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/instructions/azure-functions.instructions.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Azure Functions & AOS Workflow Patterns

AOSApp Setup

Every workflow module starts with a single AOSApp instance:

from aos_client import AOSApp, ObservabilityConfig

# App name comes from repository spec — see .github/specs/repository.md
app = AOSApp(
    name="<app-name>",
    observability=ObservabilityConfig(
        structured_logging=True,
        correlation_tracking=True,
        health_checks=["aos", "service-bus"],
    ),
)

The SDK provisions HTTP triggers, Service Bus triggers, health endpoints, and auth — no boilerplate needed here.

Workflow Registration

@app.workflow("workflow-name")
async def workflow_fn(request: WorkflowRequest) -> Dict[str, Any]:
    ...
  • Workflow names use kebab-case
  • Return {"orchestration_id": ..., "status": ...} for orchestration starters
  • Return plain data dicts for query/lookup workflows

Azure Functions Entry Point

# function_app.py — zero boilerplate
from <package>.workflows import app
functions = app.get_functions()

Never add Azure Functions decorators directly to function_app.py.

Orchestration Patterns

Perpetual orchestration (most workflows)

status = await request.client.start_orchestration(
    agent_ids=agent_ids,
    purpose="Describe the ongoing goal",
    purpose_scope="Scope of responsibility",
    context=request.body,
)
return {"orchestration_id": status.orchestration_id, "status": status.status.value}

Sequential workflow

status = await request.client.start_orchestration(
    ...,
    workflow="sequential",
)

Hierarchical workflow

status = await request.client.start_orchestration(
    ...,
    workflow="hierarchical",
)

Advanced: OrchestrationRequest with MCP servers

from aos_client import MCPServerConfig, OrchestrationPurpose, OrchestrationRequest

req = OrchestrationRequest(
    agent_ids=agent_ids,
    purpose=OrchestrationPurpose(purpose=..., purpose_scope=...),
    context=request.body,
    mcp_servers={agent_id: [MCPServerConfig(server_name="erp")]},
)
status = await request.client.submit_orchestration(req)

Read the full file on GitHub · 161 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. 3d ago First seen · 161 lines · 1,077 tokens per session scan A 29e5702269c5

Subscribe to this mod's changes

linkedin.asisaga.com azure-functions.instructions.md is an instructions file published in the GitHub repository ASISaga/linkedin.asisaga.com (0 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,077 tokens to every session, about $0.0054 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.