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 skills add seaworld008/Commonly-used-high-value-skills --skill product-manager-toolkitgit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skillsWrote 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/skills/seaworld008/commonly-used-high-value-skills/product-manager-toolkit)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/product-manager-toolkit"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/product-manager-toolkit/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/skills/seaworld008/commonly-used-high-value-skills/product-manager-toolkit"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/product-manager-toolkit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.02844 |
| Opus 5 | $0.00015 | $0.01422 |
| Sonnet 5 | $0.00006 | $0.00569 |
| Haiku 4.5 | $0.00003 | $0.00284 |
Grade A, and why
product-manager-toolkit 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 — 438 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Manager Toolkit
Essential tools and frameworks for modern product management, from discovery to delivery.
Table of Contents
Quick Start
For Feature Prioritization
# Create sample data file
python scripts/rice_prioritizer.py sample
# Run prioritization with team capacity
python scripts/rice_prioritizer.py sample_features.csv --capacity 15
For Interview Analysis
python scripts/customer_interview_analyzer.py interview_transcript.txt
For PRD Creation
- Choose template from
references/prd_templates.md - Fill sections based on discovery work
- Review with engineering for feasibility
- Version control in project management tool
Core Workflows
Feature Prioritization Process
Gather → Score → Analyze → Plan → Validate → Execute
Step 1: Gather Feature Requests
- Customer feedback (support tickets, interviews)
- Sales requests (CRM pipeline blockers)
- Technical debt (engineering input)
- Strategic initiatives (leadership goals)
Step 2: Score with RICE
# Input: CSV with features
python scripts/rice_prioritizer.py features.csv --capacity 20
See references/frameworks.md for RICE formula and scoring guidelines.
Step 3: Analyze Portfolio
Review the tool output for:
- Quick wins vs big bets distribution
- Effort concentration (avoid all XL projects)
- Strategic alignment gaps
Step 4: Generate Roadmap
- Quarterly capacity allocation
- Dependency identification
- Stakeholder communication plan
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · -77 lines · -23 tokens per session 14b3d430c0a7
- 9d ago First seen · 515 lines · 52 tokens per session scan A da9a3c5f8919
product-manager-toolkit is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 29 tokens to every session and 2,844 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 2026-09-03.
Other skills, from other repositories
trello
Manage Trello boards, lists, and cards via the Trello REST API.
omh-research-department
This is a Hermes-native research-department workflow skill.
omh-wiki
This is a Hermes-native wiki workflow skill.
omh-cto-loop
This is a Hermes-native cto-loop workflow skill.
omh-feedback-triage
This is a Hermes-native feedback-triage workflow skill.
omh-operating-rhythm
This is a Hermes-native operating-rhythm workflow skill.