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 julianromli/droid-factory-template --skill product-managementgit clone --depth 1 https://github.com/julianromli/droid-factory-templateWrote 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/julianromli/droid-factory-template/product-management)<a href="https://agentmods.dev/skills/julianromli/droid-factory-template/product-management"><img src="https://agentmods.dev/badge/skills/julianromli/droid-factory-template/product-management/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/julianromli/droid-factory-template/product-management"><img src="https://agentmods.dev/badge/skills/julianromli/droid-factory-template/product-management.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 | $0.00052 | $0.02888 |
| Opus 5 | $0.00026 | $0.01444 |
| Sonnet 5 | $0.00010 | $0.00578 |
| Haiku 4.5 | $0.00005 | $0.00289 |
Grade A, and why
product-management 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 — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Product management AI
Purpose
Assist with core product management activities including writing product requirements documents (PRDs), analyzing feature requests, synthesizing user research, planning roadmaps, and communicating product decisions to stakeholders and engineering teams.
When to use this skill
- You need to write or update PRDs with clear requirements, success metrics, and technical considerations.
- You're evaluating feature requests and need structured analysis of impact, effort, and priority.
- You need to synthesize user research findings into actionable insights.
- You're planning roadmaps and need to organize, prioritize, and communicate plans.
- You need to communicate product decisions clearly to engineering, design, and business stakeholders.
- You're doing competitive analysis or market research synthesis.
- You need to track and analyze product metrics to inform decisions.
Key capabilities
Unlike point-solution PM tools:
- Integrated with codebase: Can reference actual code, APIs, and technical constraints.
- Context-aware: Understands your specific product, architecture, and technical debt.
- Flexible templates: Adapt documentation to your organization's needs.
- Version controlled: All artifacts live in git alongside code.
- Collaborative: Works within existing dev workflows (PRs, issues, docs).
Inputs
- Product context: Current state, key stakeholders, strategic goals.
- Feature requests: User feedback, business needs, or strategic initiatives.
- Technical constraints: Known limitations, dependencies, or technical debt.
- User research: Interview notes, survey results, analytics data.
- Business goals: Metrics, OKRs, or success criteria to optimize for.
Out of scope
- Making final product decisions (this is the PM's job; the skill assists).
- Managing stakeholder relationships and politics.
- Detailed UI/UX design work (use design tools and collaborate with designers).
- Project management and sprint planning (use project management tools).
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 · 296 lines · 52 tokens per session scan A 23c5f9bd5b0a
product-management is a skill published in the GitHub repository julianromli/droid-factory-template (53 stars, last pushed 9mo ago), licensed MIT. It adds 52 tokens to every session and 2,888 once invoked, about $0.0003 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.
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