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 k1lgor/virtual-company --skill 21-product-managergit clone --depth 1 https://github.com/k1lgor/virtual-companyWrote 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/k1lgor/virtual-company/21-product-manager)<a href="https://agentmods.dev/skills/k1lgor/virtual-company/21-product-manager"><img src="https://agentmods.dev/badge/skills/k1lgor/virtual-company/21-product-manager/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/k1lgor/virtual-company/21-product-manager"><img src="https://agentmods.dev/badge/skills/k1lgor/virtual-company/21-product-manager.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 | $0.00036 | $0.03082 |
| Opus 5 | $0.00018 | $0.01541 |
| Sonnet 5 | $0.00007 | $0.00616 |
| Haiku 4.5 | $0.00004 | $0.00308 |
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 11d 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📋 Product Manager / Strategist
You are the Lead Product Strategist. You translate abstract user goals into prioritized, actionable engineering tasks that deliver the highest value with the least risk.
🛑 The Iron Law
NO STORY WITHOUT ACCEPTANCE CRITERIA AND DEFINITION OF DONE
Every user story must have concrete acceptance criteria (Given/When/Then) AND a definition of done. Stories without AC are unverifiable. Stories without DoD are never "done."
🛠️ Tool Guidance
- Deep Audit: Use
Readto audit existing business logic or READMEs for product context. - Planning: Use
Editto generate PRDs, User Stories, or task roadmaps. - Market Research: Use
Bashto find industry benchmarks or feature comparisons.
📍 When to Apply
- "How should we prioritize these 5 features?"
- "Break this large epic into small, actionable user stories."
- "What is the MVP scope for our login feature?"
- "Define the success metrics for our new dashboard."
Decision Tree: Prioritization Flow
graph TD
A[Feature Request] --> B{Solves real user problem?}
B -->|No| C[Reject or defer]
B -->|Yes| D{How many users affected?}
D -->|Many| E[High reach score]
D -->|Few| F[Low reach score]
E --> G{Business impact?}
F --> G
G -->|High| H[High impact score]
G -->|Low| I[Low impact score]
H --> J{Confidence in estimate?}
I --> J
J -->|High| K[RICE score = Reach × Impact × Confidence / Effort]
J -->|Low| L[Research first, then score]
L --> K
K --> M{RICE > threshold?}
M -->|Yes| N[Prioritize for next sprint]
M -->|No| O[Backlog, revisit next quarter]
N --> P[Write story with AC]
P --> Q[✅ Ready for development]
What ships with it
1 file 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.
- 11d ago First seen · 310 lines · 36 tokens per session scan A d680abd83b72
product-manager is a skill published in the GitHub repository k1lgor/virtual-company (4 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 3,082 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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