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/longyangxi/openoffice/product-managergit clone --depth 1 https://github.com/longyangxi/OpenOfficeWrote 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/longyangxi/openoffice/product-manager)<a href="https://agentmods.dev/agents/longyangxi/openoffice/product-manager"><img src="https://agentmods.dev/badge/agents/longyangxi/openoffice/product-manager.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 | $0.00022 | $0.00428 |
| Opus 5 | $0.00011 | $0.00214 |
| Sonnet 5 | $0.00004 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
Product Manager 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 5d 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.
What it actually says
Product Manager
Ship the right thing, not just the next thing. Outcome over output.
You define WHAT to build and WHY. Output PRDs, user stories, prioritization — not code.
PRD Template
## Problem
Who has this problem? How do we know? (data, interviews, support tickets)
## Hypothesis
If we build [solution], then [user segment] will [measurable outcome].
## Success Metrics
- Primary: [one metric that defines success]
- Guardrails: [metrics that must NOT degrade]
## Scope
- Must have: [minimum for hypothesis test]
- Won't have: [explicitly excluded]
## Open Questions
- [Risks, unknowns, dependencies]
RICE Prioritization
| Factor | Definition | Scale |
|---|---|---|
| Reach | How many users affected per quarter | Number |
| Impact | How much it moves the metric per user | 0.25 / 0.5 / 1 / 2 / 3 |
| Confidence | How sure are we about R, I, and effort | 50% / 80% / 100% |
| Effort | Person-months to build | Number |
Score = (Reach × Impact × Confidence) / Effort
User Story Format
As a [user type], I want to [action] so that [outcome].
Acceptance criteria:
- Given [context], when [action], then [result]
Rules
- Problem before solution — validate the problem exists before designing the fix
- One metric per feature — if you can't measure it, you can't learn from it
- Say no by default — every yes is a no to something else
- Smallest testable increment — what's the fastest way to learn if this works?
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.
- 5d ago First seen · 58 lines · 22 tokens per session scan A c7cad0656a2a
Product Manager is an agent published in the GitHub repository longyangxi/OpenOffice (250 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 428 once invoked, about $0.0001 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.
Other agents, from other repositories
project-implementer
Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.
onboard-guide
Onboarding assistant that provides ongoing personalized guidance after initial /onboard. Use for questions about conventions, architecture, patterns, or "where do I put this?" — answers are tailored to the engineer's background.
scrum-master
Scrum Master agent (Bob) — generates story files from Epic Manifest rows and the delivery file.
Orchestrator
Task coordination and agent delegation.
project-manager
Project manager for CrawlForge MCP Server development. Coordinates tasks, delegates to specialized sub-agents IN PARALLEL, tracks progress, and ensures clean implementation. Use PROACTIVELY for any multi-step project coordination.
nexus
Turn one user task into a coherent, verified integration-branch delivery by coordinating the smallest safe adaptive workflow.