jeredblu-marketplace: Custom Claude Code resources: skills, commands, and tools from JeredBlu's YouTube channel

by JeredBlu · Agent Tool · ★ 64

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install jeredblu-marketplace

/plugin marketplace add JeredBlu/jeredblu-marketplace
/plugin install jeredblu-tools@jeredblu-marketplace

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars64
Forks8
LanguagePython
CategoryAgent Tool
Quality Score70/100
Last Updated2026-10-13
Created2026-02-03
Platformsclaude-code, python
Est. Tokens~15k

About jeredblu-marketplace

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...

Compatible Skills

These tools work well together with jeredblu-marketplace for enhanced workflows:

  • youtube-marketing-skills — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (58%)
  • saddle — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Agent Tool tools