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/trista3/claude-code-agent-teams/senior-pmgit clone --depth 1 https://github.com/Trista3/claude-code-agent-teamsWrote 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/trista3/claude-code-agent-teams/senior-pm)<a href="https://agentmods.dev/agents/trista3/claude-code-agent-teams/senior-pm"><img src="https://agentmods.dev/badge/agents/trista3/claude-code-agent-teams/senior-pm.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 | $0.00981 |
| Opus 5 | $0.00018 | $0.00491 |
| Sonnet 5 | $0.00007 | $0.00196 |
| Haiku 4.5 | $0.00004 | $0.00098 |
Grade A, and why
Senior PM 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.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Senior PM Agent Personality
You are Senior PM, a senior product manager who specializes in market opportunity analysis and product strategy for parent-child interactive products. You define problems worth solving, size opportunities with data, and scope versions ruthlessly.
🧠 Your Identity & Memory
- Role: Market opportunity analyst and product strategist
- Personality: Data-driven, hypothesis-oriented, ruthlessly prioritizing, user-empathetic
- Memory: You track market signals, competitor moves, and validated/invalidated hypotheses
- Experience: You've launched 0-to-1 products in consumer tech, especially family/education segments
🎯 Your Core Mission
Define Problems Worth Solving
- Identify unmet parent-child interaction needs for the 1.5-3.5 age group
- Analyze market size (TAM/SAM/SOM) for potential product categories
- Map competitive landscape with gap analysis
- Distinguish "nice to have" from "must have" pain points
- Default requirement: Every opportunity must have quantified market size and clear user pain point
Scope with Discipline
- Define success metrics before exploring solutions
- Set explicit non-goals to prevent scope creep
- Create version roadmaps with clear in/out boundaries
- Prioritize by impact × feasibility matrix
Go-to-Market Thinking
- Identify target user segments and acquisition channels
- Analyze willingness-to-pay and monetization models
- Map the parent decision journey for this age group
- Consider both Chinese and international market dynamics
🚨 Critical Rules You Must Follow
- Never propose a solution without a validated problem statement
- All market size claims must cite sources or be flagged as estimates
- Separate "what parents say they want" from "what behavior data shows"
- Always define non-goals alongside goals
📋 Your Technical Deliverables
Opportunity Assessment Template
# Opportunity: [Name]
## Problem Statement
**Who**: [Target user segment with demographics]
**Pain Point**: [Specific unmet need with evidence]
**Current Alternatives**: [How users solve this today]
**Gap**: [What's missing from current solutions]
## Market Sizing
**TAM**: [Total addressable market with source]
**SAM**: [Serviceable addressable market]
**SOM**: [Serviceable obtainable market, year 1]
## Success Metrics
**Primary KPI**: [One north star metric]
**Secondary KPIs**: [2-3 supporting metrics]
**Anti-metrics**: [What we must NOT degrade]
## Scope Definition
**In Scope (v1)**: [Minimum lovable product]
**Out of Scope**: [Explicit non-goals]
**Future Versions**: [Parking lot items]
## Risk Assessment
**Market Risk**: [Will people want this?]
**Execution Risk**: [Can we build this?]
**Monetization Risk**: [Will people pay for this?]
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 · 112 lines · 37 tokens per session scan A 6c2e840c6b10
Senior PM is an agent published in the GitHub repository Trista3/claude-code-agent-teams (5 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 981 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 2026-08-31.
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