Security and Privacy Considerations for PM Skills Usage

PM Skills operates as a static markdown-based AI framework where all logic runs inside Claude's sandbox, ensuring zero local code execution, no persistent secret storage, and minimal data retention beyond the active conversation.

PM Skills is a modular "AI operating system" for product management work hosted at phuryn/pm-skills. Understanding the security and privacy considerations for PM Skills usage requires examining its deliberate architectural split into plugins, skills, and commands—all implemented as static markdown files rather than executable code, fundamentally limiting the attack surface.

Architecture and Security Layers

The repository’s security model relies on strict separation between data-driven skills and command workflows. Each layer lives in predictable locations with specific security boundaries.

Plugin Structure and Isolation

PM Skills organizes functionality into installable plugins located in pm-<domain>/ directories (e.g., pm-toolkit/, pm-product-strategy/). Each plugin contains two critical components:

• Skills: Static markdown knowledge bases stored in pm-<domain>/skills/*.md (e.g., pm-toolkit/skills/privacy-policy/SKILL.md). These contain no executable code—only data-driven prompts and templates.
• Commands: Claude-specific workflow definitions located in pm-<domain>/commands/*.md that chain skills together.

Because plugins are pure markdown directories, users can audit every file before loading them into their environment using standard text search tools.

Marketplace Descriptor

The root CLAUDE.md file serves as the canonical marketplace descriptor, pointing Claude-Code/Cowork to available plugin sets. This file contains only plugin names and metadata—no secrets, credentials, or executable configurations.

Privacy-First Design

The architecture treats personal data as transient template variables rather than persistent records.

Data Handling in the Privacy-Policy Skill

The pm-toolkit/skills/privacy-policy/SKILL.md file exemplifies the non-retentive design. This skill accepts user-supplied arguments like $PRODUCT_NAME, $COMPANY_NAME, and $INFORMATION_TYPES to generate privacy policy text, but it never stores these values. As explicitly stated in the skill documentation:

"This is for informational purposes only and does not constitute legal advice."

The skill processes these variables only during the active Claude session, generating a three-part output (summary, full policy, compliance notes) without writing data to disk or transmitting it to external services beyond Claude’s infrastructure.

Transmission Scope

The only data transmission occurs when template arguments pass to Claude during the conversation. No background data collection, telemetry, or long-term storage mechanisms exist within the repository itself.

Security Considerations and Attack Surface

The repository implements multiple safeguards to minimize security risks.

No Secret Handling

phuryn/pm-skills ships without API keys, tokens, or credentials. All configuration files are devoid of secrets, and the repository’s .gitignore explicitly prevents accidental inclusion of .env files or other sensitive configuration artifacts.

Static Asset Integrity

All skills are pure markdown description files. Unlike traditional plugin architectures that might execute Python or JavaScript, PM Skills relies entirely on Claude’s interpretation of structured markdown prompts. This means skills cannot access the file system, spawn processes, or make network requests independently.

Claude Sandbox Isolation

Commands defined in files like pm-product-discovery/commands/discover.md run inside Claude’s sandboxed environment. They cannot invoke external processes, read arbitrary files on the host machine, or execute code outside the AI assistant’s controlled context. This isolation limits any potential attack surface to the Claude platform itself rather than the user’s local system.

Auditability

Because every skill is a readable markdown file, security teams can audit the entire codebase via grep or similar tools to verify no data collection, user tracking, or undisclosed third-party service integrations exist. The privacy-policy skill already contains built-in "Legal review required" flags and checklists for compliance verification.

Practical Security Examples

The following commands demonstrate how PM Skills processes data without exposing the system to code execution risks.

Drafting a Privacy Policy

This command uses the privacy-policy skill without executing local code:

/privacy-policy
PRODUCT_NAME=Acme Chat
PRODUCT_URL=https://chat.acme.com
COMPANY_NAME=Acme Corp
COMPANY_ADDRESS=123 Main St, Anytown, USA
CONTACT_EMAIL=privacy@acme.com
INFORMATION_TYPES=names, emails, usage behavior, device identifiers
JURISDICTION=European Union (GDPR)

Claude loads pm-toolkit/skills/privacy-policy/SKILL.md, interpolates the arguments, and returns the rendered policy without storing the supplied PII.

Running Discovery Workflows

/discover AI-powered meeting summarizer for remote teams

The /discover command (defined in pm-product-discovery/commands/discover.md) chains four skills—brainstorm-ideas, identify-assumptions, prioritize-assumptions, and brainstorm-experiments—guiding the user through a complete product-discovery cycle entirely within Claude’s context.

Generating Product Requirements

/write-prd
Feature: Smart notification system that reduces alert fatigue
Goal: Decrease daily notification count by 30% while maintaining engagement

This command resolves the create-prd skill from pm-execution/skills/create-prd/SKILL.md, returning a PRD document without writing files to the local filesystem.

Summary

• PM Skills uses a static markdown architecture where plugins, skills, and commands contain no executable code, eliminating traditional malware vectors.
• All sensitive processing occurs within Claude’s sandbox, preventing access to the host file system or network.
• The repository contains no secrets or credentials, and .gitignore prevents accidental exposure of environment files.
• Skills like privacy-policy/SKILL.md process PII as transient template variables without persistence or external transmission.
• Complete auditability is possible through standard text search of markdown files in pm-<domain>/ directories.

Frequently Asked Questions

Does PM Skills store my personal data permanently?

No. PM Skills processes data only during the active Claude session. Skills like the privacy-policy template accept variables such as $COMPANY_NAME and $INFORMATION_TYPES to generate documents, but these values are not written to disk, logged tofiles, or retained after the conversation ends. The repository contains no database or storage mechanism.

Can PM Skills execute code on my local machine?

No. All skills are static markdown files located in paths like pm-toolkit/skills/*.md. Commands specified in pm-<domain>/commands/*.md are parsed by Claude and executed within the AI assistant’s sandbox. They cannot invoke shell commands, access local files beyond the repository, or spawn external processes.

How do I verify that a PM Skills plugin is secure?

Because every plugin consists of readable markdown files, you can audit the code directly by examining files in the pm-<domain>/ directory. Search for terms like "http", "fetch", or "exec" to confirm no network calls or code execution exists. The CLAUDE.md marketplace descriptor only lists plugin names, not executable code.

Is PM Skills suitable for enterprise environments with strict compliance requirements?

Yes. The architecture supports enterprise security requirements through its static-only asset model, sandboxed execution, and zero secret storage. Security teams can review the entire codebase offline, and the privacy-policy skill includes explicit "Legal review required" flags for jurisdiction-sensitive content like GDPR compliance.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}