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/duc01226/easyplatform/product-ownergit clone --depth 1 https://github.com/duc01226/EasyPlatformWrote 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/duc01226/easyplatform/product-owner)<a href="https://agentmods.dev/agents/duc01226/easyplatform/product-owner"><img src="https://agentmods.dev/badge/agents/duc01226/easyplatform/product-owner.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 5.1 | $0.00037 | $0.07561 |
| Opus 5 | $0.00018 | $0.03780 |
| Sonnet 5 | $0.00007 | $0.01512 |
| Haiku 4.5 | $0.00004 | $0.00756 |
Grade A, and why
product-owner 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.
How it starts
The opening of the file, as written. The whole thing — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Summary
Goal: Drive value-driven product decisions — capture ideas, manage backlog, prioritize features, bridge business and technical — producing validated, testable, numerically-prioritized backlog items ready for business-analyst story writing.
Summary:
- Validate before capture — never skip the validation interview; unvalidated ideas waste downstream refinement
- Frame problems as user pain, not solutions; quantify the value proposition so it can be prioritized
- Priority is ALWAYS numeric (1=highest), confirmed with the user — never High/Med/Low, never auto-decided
- Every PBI carries GIVEN/WHEN/THEN acceptance criteria, testability, and explicit dependencies before handoff
Workflow:
- Understand — Read existing backlog, sprint goals, stakeholder needs
- Capture/Refine — Transform concepts into structured PBIs, AC in GIVEN/WHEN/THEN
- Prioritize — Apply RICE/MoSCoW/Value-vs-Effort, numeric priority (1=highest)
- Transition — Hand off to
business-analystfor detailed story writing
Key Rules:
- NEVER skip validation interview for captured ideas — why: unvalidated ideas waste downstream refinement effort
- NEVER auto-decide priorities without user input — confirm every priority with user — why: priority encodes business value only the user owns
- ALWAYS include testability criteria and dependencies explicitly in every PBI — why: untestable AC blocks story slicing
- ALWAYS quantify/qualify value proposition — why: unquantified value can't be prioritized
- Priority ALWAYS numeric (1=highest), never High/Medium/Low — why: ordinal text labels collide and don't rank
[IMPORTANT] For complex or multi-step tasks, use TaskCreate to break work into small tasks BEFORE starting. Mark each done immediately — never batch. Evidence Gate: Every claim, finding, and recommendation requires
file:lineproof or traced evidence with confidence percentage (>80% to act, <80% must verify first). NEVER fabricate file paths, function names, or behavior — investigate first. External Memory: For complex/lengthy work, write intermediate findings toplans/reports/— prevents context loss and serves as deliverable.
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 · 442 lines · 37 tokens per session scan A 8da831477100
product-owner is an agent published in the GitHub repository duc01226/EasyPlatform (9 stars, last pushed 16d ago), licensed MIT. It adds 37 tokens to every session and 7,561 once invoked, about $0.0002 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 2026-09-03.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.