ed72d633e8
The marketplace README only described Layers 1-2. Added interaction reports (Layer 3) and contemplative references (Layer 4) with opt-in notes. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
99 lines
4.8 KiB
Markdown
99 lines
4.8 KiB
Markdown
# ktg-plugin-marketplace
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Open-source Claude Code plugins for AI-assisted development, security, and planning.
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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.
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---
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## Plugins
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### [LLM Security](plugins/llm-security/) `v5.1.0`
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Security scanning, auditing, and threat modeling for agentic AI projects.
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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:
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- **Automated enforcement** — 8 hooks that block dangerous operations in real time (prompt injection, secrets in code, destructive commands, supply chain guardrails)
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- **Deterministic scanning** — 15 Node.js scanners for byte-level analysis: Shannon entropy, Unicode codepoints, typosquatting detection, taint flow, DNS resolution, git forensics
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- **Advisory analysis** — 18 commands that scan, audit, and model threats with structured reports, letter grades, and actionable remediation
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Key commands: `/security posture`, `/security audit`, `/security scan`, `/security threat-model`, `/security plugin-audit`
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6 specialized agents · 15 scanners · 8 hooks · 13 knowledge docs
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→ [Full documentation](plugins/llm-security/README.md)
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---
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### [Config-Audit](plugins/config-audit/) `v3.0.1`
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Configuration intelligence for Claude Code — health checks, feature discovery, and auto-fix.
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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:
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- **Health** — 7 deterministic scanners verify correctness across every configuration file (broken imports, deprecated settings, conflicting rules, permission contradictions)
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- **Opportunities** — context-aware recommendations for Claude Code features you're not using
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- **Action** — auto-fix with mandatory backups, syntax validation, rollback support, and human-in-the-loop workflow
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Key commands: `/config-audit posture`, `/config-audit discover`, `/config-audit feature-gap`, `/config-audit fix`
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6 agents · 8 scanners · 15 commands · 482+ tests
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→ [Full documentation](plugins/config-audit/README.md)
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---
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### [Ultraplan Local and Ultra Execute Local](plugins/ultraplan-local/) `v1.4.0`
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Deep implementation planning with specialized agent swarms and adversarial review, then autonomous execution with failure recovery.
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Two commands, one pipeline: plan first, then execute. The plan is the contract between the two.
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- **`/ultraplan-local`** — Interview, 6-8 specialized agents explore the codebase in parallel, adversarial review by plan-critic and scope-guardian
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- **`/ultraexecute-local`** — Step-by-step implementation with git checkpoints, automatic failure recovery, and parallel session decomposition
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Modes: default (interview + background), spec-driven, foreground, quick, decompose, export
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13 specialized agents · 2 commands · No cloud dependency
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→ [Full documentation](plugins/ultraplan-local/README.md)
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---
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### [AI Psychosis](plugins/ai-psychosis/) `v1.0.0`
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Meta-awareness tools that counteract sycophancy, reinforcement loops, and compulsive AI interaction patterns.
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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.
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- **Layer 1 — Behavioral instructions** — SKILL.md rules that modify Claude's behavior: no unearned affirmations, mandatory risk identification, pattern naming
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- **Layer 2 — Programmatic detection** — 4 hooks that measure session duration, dependency language, rapid-fire bursts, edit ratios, and late-night usage with progressive alerts
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- **Layer 3 — Interaction reports** — `/interaction-report` slash command for aggregated session statistics across configurable timeframes (weekly, monthly, all-time). Opt-in
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- **Layer 4 — Contemplative references** — optional references to contemplative approaches when interaction flags are elevated. Opt-in
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Research-informed thresholds. Alerts are progressive and never blocking. Privacy-first: prompt text is never logged. Layers 3 and 4 are off by default.
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1 skill · 1 command · 4 hooks
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→ [Full documentation](plugins/ai-psychosis/README.md)
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---
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## Installation
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```bash
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claude plugin marketplace add https://git.fromaitochitta.com/open/ktg-plugin-marketplace.git
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```
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Then open Claude Code and type `/plugin` to browse and install plugins from the marketplace.
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## Compatibility
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- Claude Code CLI, desktop app, and IDE extensions
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- macOS, Linux, Windows
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- No external dependencies (all scanners and hooks are self-contained)
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## License
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MIT
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