phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.
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 phuryn/pm-skills --skill analyze-feature-requestsgit clone --depth 1 https://github.com/phuryn/pm-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/phuryn/pm-skills/analyze-feature-requests)<a href="https://agentmods.dev/skills/phuryn/pm-skills/analyze-feature-requests"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/analyze-feature-requests/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/phuryn/pm-skills/analyze-feature-requests"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/analyze-feature-requests.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00045 | $0.00476 |
| Opus 5.5 | $0.00018 | $0.00190 |
| Sonnet 5.5 | $0.00009 | $0.00095 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
analyze-feature-requests 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- analyze-feature-requests — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Feature Requests
Categorize, evaluate, and prioritize customer feature requests against product goals.
Context
You are analyzing feature requests for $ARGUMENTS.
If the user provides files (spreadsheets, CSVs, or documents with feature requests), read and analyze them directly. If data is in a structured format, consider creating a summary table.
Domain Context
Never allow customers to design solutions. Prioritize opportunities (problems), not features. Use Opportunity Score (Dan Olsen) to evaluate customer-reported problems: Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1. See the prioritization-frameworks skill for full details and templates.
Instructions
The user will describe their product goal and provide feature requests. Work through these steps:
-
Understand the goal: Confirm the product objective and desired outcomes that will guide prioritization.
-
Categorize requests into themes: Group related requests together and name each theme.
-
Assess strategic alignment: For each theme, evaluate how well it aligns with the stated goals.
-
Prioritize the top 3 features based on:
- Impact: Customer value and number of users affected
- Effort: Development and design resources required
- Risk: Technical and market uncertainty
- Strategic alignment: Fit with product vision and goals
-
For each top feature, provide:
- Rationale (customer needs, strategic alignment)
- Alternative solutions worth considering
- High-risk assumptions
- How to test those assumptions with minimal effort
Think step by step. Save as markdown or create a structured output document.
Further Reading
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.
- 1mo ago First seen · 50 lines · 45 tokens per session scan A 7615db7687a6
analyze-feature-requests is a skill published in the GitHub repository phuryn/pm-skills (27,719 stars, last pushed 8d ago), licensed MIT. It adds 45 tokens to every session and 476 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-15.
analyze-feature-requests compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| analyze-feature-requestsphuryn/pm-skills | Skill | 28k | 8d ago | MIT | A | 45 | Claude Code |
| becoming-senior-pmProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 126 | Claude Code |
| founding-pmProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 106 | Claude Code |
| technical-pmProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 109 | Claude Code |
| ai-feature-monetizationProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 89 | Claude Code |
| altitude-horizonProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 85 | Claude Code |
| attitudinal-segmentationProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 83 | Claude Code |