ed3d-plugins: Ed's repo of Claude Code plugins, centered around a research-plan-implement workflow

by ed3dai · Claude Skill · ★ 249

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

How to install ed3d-plugins

/plugin marketplace add https://github.com/ed3dai/ed3d-plugins.git
/plugin install ed3d-plan-and-execute@ed3d-plugins

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.

claudeclaude-codeclaude-code-pluginclaude-code-plugin-marketplaceskills

Quick Facts

Stars249
Forks32
LanguagePython
CategoryClaude Skill
Quality Score70/100
Open Issues4
Last Updated2026-09-06
Created2026-01-15
Platformsclaude-code, python
Est. Tokens~14k

About ed3d-plugins

ed3d-plugins This is my collection of plugins that I use on a day-to-day basis for getting stuff done with Claude Code. Most of these are development-oriented in some way or another, but also often end up being useful for other things. Product design, general research, accidentally becoming my homelab sysadmin—these are a lot of what I've learned so far and what I've found helpful.

Compatible Skills

These tools work well together with ed3d-plugins for enhanced workflows:

  • x64dbg-skills — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (63%)
  • awesome-claude-plugins — semantic(0.58)+complementary+rare_topics+similar_pop+shared_platform (60%)
  • cc-thingz — semantic(0.69)+same_lang+similar_pop+shared_platform (59%)
  • claude-codex-settings — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)

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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 Claude Skill tools