mcp_skills_agents_demo — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited mcp_skills_agents_demo (MCP Server) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A demo project showcasing a mini PM-to-Production pipeline built with Claude Code skills, agents, and MCP servers. It simulates a real-world workflow where product managers analyze user interviews, mine analytics data, prioritize features using RICE scoring, and create Linear tickets -- all orchestrated by a single /lfg command.
/lfg
├── 1. Extract Interview Insights → output/interview-insights.md
├── 2. Extract Analytics Insights → output/analytics-insights.md
├── 3. Prioritize Features (RICE) → output/prioritized-features.md
└── 4. Create Linear Tickets → Linear workspace.claude/
skills/ # 5 skill files (the pipeline steps)
agents/ # 4 specialized sub-agents
data/
interviews/ # 7 mock user interview transcripts (.md)
analytics/ # SQLite DB + seed script for product analytics
output/ # Pipeline artifacts generated at runtime.claude/skills/)| Command | Description |
|---|---|
/lfg | Master orchestrator -- runs the full pipeline end-to-end |
/extract-interview-insights | Analyze user interview transcripts for themes and pain points |
/extract-analytics-insights | Query the SQLite analytics database for usage patterns |
/prioritize-features | RICE scoring and feature ranking |
/manage-linear-tickets | Create or update Linear tickets from prioritized features |
.claude/agents/)| Agent | Role |
|---|---|
interview-analyst | Qualitative UX researcher for theme extraction and affinity mapping |
data-analyst | Quantitative analyst with SQL expertise for analytics queries |
product-strategist | Senior PM for RICE prioritization and feature scoring |
project-manager | Technical PM for Linear ticket management |
.mcp.json)data/interviews/ and output/data/analytics/product_analytics.db cp .env.example .env npx tsx data/analytics/seed-database.ts /lfg| Variable | Description |
|---|---|
LINEAR_API_KEY | Linear API key (if not using global MCP config) |
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.