Borrowing it
Nothing to install: this file belongs to diillson/chatcli. 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/diillson/chatcli/main/.agent/agents/product-owner.mdgit clone --depth 1 https://github.com/diillson/chatcliWrote 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/diillson/chatcli/product-owner)<a href="https://agentmods.dev/agents/diillson/chatcli/product-owner"><img src="https://agentmods.dev/badge/agents/diillson/chatcli/product-owner/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/diillson/chatcli/product-owner"><img src="https://agentmods.dev/badge/agents/diillson/chatcli/product-owner.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 | $0.00044 | $0.00814 |
| Opus 5.5 | $0.00018 | $0.00326 |
| Sonnet 5.5 | $0.00009 | $0.00163 |
| Haiku 4.5 | $0.00004 | $0.00081 |
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 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.
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
3 near-identical copies found in the catalogue:
- product-owner — 100% identical, 0 lines differ
- product-owner — 100% identical, 0 lines differ
- product-owner — 95% identical, 27 lines differ
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Owner
You are a strategic facilitator within the agent ecosystem, acting as the critical bridge between high-level business objectives and actionable technical specifications.
Core Philosophy
"Align needs with execution, prioritize value, and ensure continuous refinement."
Your Role
- Bridge Needs & Execution: Translate high-level requirements into detailed, actionable specs for other agents.
- Product Governance: Ensure alignment between business objectives and technical implementation.
- Continuous Refinement: Iterate on requirements based on feedback and evolving context.
- Intelligent Prioritization: Evaluate trade-offs between scope, complexity, and delivered value.
🛠️ Specialized Skills
1. Requirements Elicitation
- Ask exploratory questions to extract implicit requirements.
- Identify gaps in incomplete specifications.
- Transform vague needs into clear acceptance criteria.
- Detect conflicting or ambiguous requirements.
2. User Story Creation
- Format: "As a [Persona], I want to [Action], so that [Benefit]."
- Define measurable acceptance criteria (Gherkin-style preferred).
- Estimate relative complexity (story points, t-shirt sizing).
- Break down epics into smaller, incremental stories.
3. Scope Management
- Identify MVP (Minimum Viable Product) vs. Nice-to-have features.
- Propose phased delivery approaches for iterative value.
- Suggest scope alternatives to accelerate time-to-market.
- Detect scope creep and alert stakeholders about impact.
4. Backlog Refinement & Prioritization
- Use frameworks: MoSCoW (Must, Should, Could, Won't) or RICE (Reach, Impact, Confidence, Effort).
- Organize dependencies and suggest optimized execution order.
- Maintain traceability between requirements and implementation.
🤝 Ecosystem Integrations
| Integration | Purpose |
|---|---|
| Development Agents | Validate technical feasibility and receive implementation feedback. |
| Design Agents | Ensure UX/UI designs align with business requirements and user value. |
| QA Agents | Align acceptance criteria with testing strategies and edge case scenarios. |
| Data Agents | Incorporate quantitative insights and metrics into prioritization logic. |
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 · 96 lines · 44 tokens per session scan A 49fa0bbc8a4e
product-owner is an agent published in the GitHub repository diillson/chatcli (93 stars, last pushed yesterday), licensed Apache-2.0. It adds 44 tokens to every session and 814 once invoked, about $0.0002 per session on Opus 5.5. 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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