docs: rewrite marketplace README with full plugin overviews

Each plugin gets a proper summary with key features, stats, and
link to its detailed README.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-04-06 21:01:44 +02:00
commit 6aec429a32

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Open-source Claude Code plugins for AI-assisted development, security, and planning. Open-source Claude Code plugins for AI-assisted development, security, and planning.
Built for my own Claude Code workflow and shared openly for anyone who finds them useful. Solo project — bug reports and feature requests are welcome, pull requests are not accepted.
---
## Plugins ## Plugins
| Plugin | Description | ### [LLM Security](plugins/llm-security/) `v5.0.0`
|--------|-------------|
| **llm-security** | Security scanning, auditing, and threat modeling aligned to OWASP LLM Top 10 (2025) | Security scanning, auditing, and threat modeling for agentic AI projects.
| **config-audit** | Multi-agent workflow for analyzing and optimizing Claude Code configuration |
| **ultraplan-local** | Deep implementation planning with agent swarms, adversarial review, and headless execution | Built on OWASP LLM Top 10 (2025), OWASP Agentic AI Top 10, and the AI Agent Traps taxonomy (Google DeepMind, 2025). Three layers of protection:
| **ai-psychosis** | Meta-awareness tools for healthy AI interaction patterns — detects reinforcement loops, scope escalation, and compulsive patterns |
- **Automated enforcement** — 8 hooks that block dangerous operations in real time (prompt injection, secrets in code, destructive commands, supply chain guardrails)
- **Deterministic scanning** — 15 Node.js scanners for byte-level analysis: Shannon entropy, Unicode codepoints, typosquatting detection, taint flow, DNS resolution, git forensics
- **Advisory analysis** — 18 commands that scan, audit, and model threats with structured reports, letter grades, and actionable remediation
Key commands: `/security posture`, `/security audit`, `/security scan`, `/security threat-model`, `/security plugin-audit`
6 specialized agents · 15 scanners · 8 hooks · 13 knowledge docs
→ [Full documentation](plugins/llm-security/README.md)
---
### [Config-Audit](plugins/config-audit/) `v3.0.1`
Configuration intelligence for Claude Code — health checks, feature discovery, and auto-fix.
Claude Code reads instructions from 7+ file types across multiple scopes. This plugin tells you what's wrong, what's missing, and what's silently conflicting:
- **Health** — 7 deterministic scanners verify correctness across every configuration file (broken imports, deprecated settings, conflicting rules, permission contradictions)
- **Opportunities** — context-aware recommendations for Claude Code features you're not using
- **Action** — auto-fix with mandatory backups, syntax validation, rollback support, and human-in-the-loop workflow
Key commands: `/config-audit posture`, `/config-audit discover`, `/config-audit feature-gap`, `/config-audit fix`
6 agents · 8 scanners · 15 commands · 482+ tests
→ [Full documentation](plugins/config-audit/README.md)
---
### [Ultraplan Local](plugins/ultraplan-local/) `v1.4.0`
Deep implementation planning with specialized agent swarms and adversarial review, then autonomous execution with failure recovery.
Two commands, one pipeline: plan first, then execute. The plan is the contract between the two.
- **`/ultraplan-local`** — Interview, 6-8 specialized agents explore the codebase in parallel, adversarial review by plan-critic and scope-guardian
- **`/ultraexecute-local`** — Step-by-step implementation with git checkpoints, automatic failure recovery, and parallel session decomposition
Modes: default (interview + background), spec-driven, foreground, quick, decompose, export
13 specialized agents · 2 commands · No cloud dependency
→ [Full documentation](plugins/ultraplan-local/README.md)
---
### [AI Psychosis](plugins/ai-psychosis/) `v1.0.0`
Meta-awareness tools that counteract sycophancy, reinforcement loops, and compulsive AI interaction patterns.
AI assistants are structurally optimized to be agreeable. This creates reinforcement loops where productive collaboration is often a mirror showing you what you want to see. Research documents psychotic episodes triggered by sustained AI interaction in individuals with no prior psychiatric history.
- **Layer 1 — Behavioral instructions** — SKILL.md rules that modify Claude's behavior: no unearned affirmations, mandatory risk identification, pattern naming
- **Layer 2 — Programmatic detection** — 4 hooks that measure session duration, dependency language, rapid-fire bursts, edit ratios, and late-night usage with progressive alerts
Research-informed thresholds. Alerts are progressive and never blocking. Privacy-first: prompt text is never logged.
1 skill · 1 command · 4 hooks
→ [Full documentation](plugins/ai-psychosis/README.md)
---
## Installation ## Installation
### Step 1: Add this marketplace ### Step 1: Add this marketplace
Add the following entry to your `~/.claude/plugins/known_marketplaces.json`: Add to your `~/.claude/plugins/known_marketplaces.json`:
```json ```json
{ {
@ -49,7 +116,13 @@ Add the plugins you want to `~/.claude/settings.json`:
### Step 3: Verify ### Step 3: Verify
Open a new Claude Code session and run `/plugin` to see available plugins. Open a new Claude Code session and run `/plugin` to see installed plugins.
## Compatibility
- Claude Code CLI, desktop app, and IDE extensions
- macOS, Linux, Windows
- No external dependencies (all scanners and hooks are self-contained)
## License ## License