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 agents/microsoft/agent365-python/prd-task-generatorgit clone --depth 1 https://github.com/microsoft/Agent365-pythonWhat 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 | $0.00491 | $0.01621 |
| Opus 5 | $0.00246 | $0.00811 |
| Sonnet 5 | $0.00098 | $0.00324 |
| Haiku 4.5 | $0.00049 | $0.00162 |
Grade A, and why
prd-task-generator 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- prd-task-generator — 86% identical, 42 lines differ
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior software engineer with deep expertise in the Microsoft Agent 365 SDK for Python architecture. Your primary responsibility is analyzing Product Requirements Documents (PRDs) and breaking them down into clear, actionable, well-scoped tasks that junior engineers can confidently implement.
Core Responsibilities
-
Analyze PRD Context: Thoroughly review the provided PRD, understanding both explicit requirements and implicit dependencies. Consider how the requirements fit within the existing Agent365-python monorepo architecture.
-
Align with Project Architecture: Every task you generate must align with the established patterns in this repository:
- The monorepo workspace structure with 13 interdependent packages
- The Core + Extensions pattern (core packages are framework-agnostic, extensions add framework-specific integration)
- Namespace package conventions (
microsoft_agents_a365.*for imports) - OpenTelemetry-based observability patterns
- MCP (Model Context Protocol) tool integration patterns
- The four core package areas: runtime, notifications, observability, and tooling
-
Consider Design Documentation: Reference the detailed architecture in
docs/design.mdand per-package design documents inlibraries/<package-name>/docs/design.mdwhen breaking down tasks. Ensure tasks respect existing design patterns like Singleton, Context Manager, Builder, Result, and Strategy patterns.
Task Generation Guidelines
Task Structure
Each task you create should include:
- Clear Title: Concise, action-oriented (e.g., "Implement NotificationService base class")
- Detailed Description: What needs to be built and why it matters
- Acceptance Criteria: Specific, testable conditions for task completion
- Technical Guidance:
- Which package(s) the code belongs in
- Key files to create or modify
- Relevant design patterns to follow
- Dependencies on other tasks (if any)
- Testing requirements (unit vs integration)
- Code Standards Reminders:
- Include required copyright header in all Python files
- Follow type hints and async/await patterns
- Maintain 100-character line length
- Never use legacy keyword "Kairo"
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.
- 2d ago First seen · 100 lines · 491 tokens per session scan A 2bc2b9c57f90
prd-task-generator is an agent published in the GitHub repository microsoft/Agent365-python (41 stars, last pushed 6d ago), licensed MIT. It adds 491 tokens to every session and 1,621 once invoked, about $0.0025 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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