Jeredblu Tools

JeredBlu Marketplace

Custom Claude Code resources from JeredBlu's YouTube channel.

Overview

This marketplace provides skills that work across multiple AI coding tools:

• prd-creator: Create comprehensive PRDs through conversational discovery
• agent-skill-evaluator: Security and safety evaluation for agent skills
• mcp-evaluator: Security and privacy evaluation for MCP servers
• frugal-fable: Keep a premium model (Fable/Opus) on the judgment and delegate token-heavy work to cheaper models (Haiku/Sonnet) — for research, building, testing, and debugging

Most skills utilize MCP servers for enhanced functionality and follow the open Agent Skills standard. frugal-fable additionally needs Claude Code's workflow + sub-agent orchestration for its full feature set (see the platform note under Usage).

Installation Options

Option 1: Claude Code Plugin Marketplace (Recommended)

1. Add Marketplace

/plugin marketplace add JeredBlu/jeredblu-marketplace

2. Install Plugin

/plugin install jeredblu-tools@jeredblu-marketplace

Option 2: Manual Download (All Platforms)

Download skills individually for manual installation:

Skill	Download	Description
PRD Creator	prd-creator.zip	Conversational PRD generation
Agent Skill Evaluator	agent-skill-evaluator.zip	Security evaluation for skills
MCP Evaluator	mcp-evaluator.zip	Security evaluation for MCP servers
Frugal Fable	frugal-fable.zip	Premium-model orchestration + cheap-model delegation (full features: Claude Code)

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Platform-Specific Installation

Claude Desktop

1. Download the desired .zip file
2. Open Claude Desktop
3. Go to Settings > Capabilities > Upload Skill
4. Select the downloaded zip file
5. Repeat for additional skills

Claude Code (Local)

1. Extract the zip file
2. Drop unzipped folder to ~/.claude/skills in your project directory or global Claude config
3. Restart Claude Code

OpenAI Codex CLI

1. Extract the zip file
2. Move contents to ~/.codex/skills/<skill-name>/ or .codex/skills/<skill-name>/
3. Restart Codex

OpenCode

1. Extract the zip file
2. Move contents to .opencode/skills/<skill-name>/ (project) or ~/.config/opencode/skills/<skill-name>/ (global)
3. Restart OpenCode

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Configuration

The skills work best with MCP servers. Both are optional but highly recommended for full functionality.

Recommended MCP Servers

GitHub MCP Server (Recommended)

• Enables direct GitHub repository access for analyzing skills and MCP servers
• See Github Page for Install Instructions
• Requires: GitHub Personal Access Token

Bright Data MCP Server (Recommended)

• Enables web scraping and Reddit access for community feedback analysis
• See Github Page for Install Instructions
• Requires: Bright Data API token
• Create BRD Account with my Link (you might get some extra free credits)

Context7 MCP Server (Optional)

• Enables documentation lookup for technology research
• See Github Page for Install Instructions

Install and configure these MCP servers following their official installation instructions.

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Usage

PRD Creator

Create comprehensive Product Requirements Documents through conversational discovery:

/prd-creator

Or naturally:

Help me create a PRD for my new app idea
I need to document requirements for a feature
Create product requirements for [project description]

The skill will:

• Guide you through discovery questions (problem, users, features)
• Research relevant technologies via MCP servers
• Generate structured PRD with all sections
• Support iterative refinement

Output includes:

• Problem statement and goals
• User personas and stories
• Functional/non-functional requirements
• Technical considerations
• Success metrics
• Timeline and milestones

Agent Skill Evaluator

Evaluate the security of agent skills from various sources:

Evaluate this skill: https://github.com/username/skill-repo
Is this skill safe? https://example.com/my-skill.zip
Security assessment for this skill please: [attach .skill file]

The evaluator will:

• Download and extract the skill
• Analyze SKILL.md for prompt injections
• Review scripts for malicious code
• Search community feedback
• Generate comprehensive security report with risk scoring

Features:

• Prompt injection detection
• Malicious code pattern matching
• Hidden instruction scanning
• Data exfiltration detection
• Community validation
• Risk scoring (0-100 scale)
• Actionable recommendations

MCP Server Evaluator

Evaluate the security of MCP servers:

Evaluate this MCP server: https://github.com/username/mcp-server
Is this MCP safe to use? https://github.com/org/mcp-repo

The evaluator will:

• Analyze repository metadata and activity
• Review code for security vulnerabilities
• Search for alternatives and comparisons
• Gather community feedback (including Reddit with Pro Mode)
• Generate detailed assessment with recommendations

Features:

• Security vulnerability analysis
• Privacy risk assessment
• Code quality review
• Alternative server discovery
• Community feedback research (Reddit, forums, GitHub)
• Multi-dimensional scoring
• Usability assessment

Frugal Fable

Platform note: Full functionality requires Claude Code (a Fable-class runtime with workflow + sub-agent orchestration). On Claude Desktop, Codex, or OpenCode the written delegation guidance still applies, but the bundled budget-capped research workflow won't run.

Keep your most capable model on the thinking and push token-heavy volume to cheaper models:

/frugal-fable

Or naturally:

Be efficient with Fable on this — don't burn tokens
Research X but delegate the searching to cheaper agents
Build this feature but keep Fable on the architecture and review

The skill will:

• Keep the session model (Fable/Opus) on decomposition, architecture, synthesis, and review
• Delegate scans, fetches, bounded patches, and tests to Haiku/Sonnet with a conservative quality floor
• Use a file-based "context firewall" so sub-agent output doesn't bloat the orchestrator's context
• Reach for the bundled budget-capped frugal-research.js workflow for cost-bounded deep research

Lanes: research · build/dev · testing · debugging. As with any delegation, the orchestrator reviews delegated work before relying on it (the built-in quality gate) — so you stay in control of what ships.

Note: "Fable" is just the marquee example — the skill uses whatever model your session starts on as the orchestrator (Opus works identically) and delegates down from there.

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Graceful Degradation

Skills work without MCP servers but with reduced functionality:

Scenario	Behavior
No GitHub MCP	Uses web scraping for repository access
No Bright Data	Uses built-in web search (limited)
No Pro Mode	No Reddit scraping, basic search only
No Context7	Manual documentation lookup

Example: Without MCPs

User: "Evaluate this MCP: https://github.com/example/server"
Claude: Uses basic web scraping, can't access private repos,
        limited Reddit data, slower analysis

Example: With MCPs

User: "Evaluate this MCP: https://github.com/example/server"
Claude: Direct repo access, full code review, Reddit community
        feedback, comprehensive security scan

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Requirements

• Claude Code, Claude Desktop, VS Code, Cursor, Codex, or OpenCode
• GitHub Personal Access Token (recommended)
• Bright Data API token (recommended, for Reddit scraping)

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Coming Soon

• Custom slash commands
• Agents
• Additional skills