Live LLM model intelligence and pricing from OpenRouter
Scanned 9/7/2026
Install to Claude Code
Skills Directorynpx -y skills add modbender/skill-library-mcp --skill agxntsix-model-intel --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Agxntsix Model Intel?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/modbender-agxntsix-model-intel)More formats (shields.io, HTML) on the badges page.
---
name: Model Intel
version: 1.0.0
description: Live LLM model intelligence and pricing from OpenRouter
author: aiwithabidi
---
# Model Intel 🧠
Live LLM model intelligence from OpenRouter. Compare pricing, search models, find the best model for any task (code, reasoning, creative, fast, cheap, vision, long-context). Real-time data, not stale training knowledge.
## Usage
```bash
# List top models by provider
python3 scripts/model_intel.py list
# Search by name
python3 scripts/model_intel.py search "claude"
# Side-by-side comparison
python3 scripts/model_intel.py compare "claude-opus" "gpt-4o"
# Best model for a use case
python3 scripts/model_intel.py best fast
python3 scripts/model_intel.py best code
python3 scripts/model_intel.py best reasoning
python3 scripts/model_intel.py best cheap
python3 scripts/model_intel.py best vision
# Pricing details
python3 scripts/model_intel.py price "gemini-flash"
```
## Requirements
- `OPENROUTER_API_KEY` environment variable
- Python 3.10+
- `requests` package
## Credits
Built by **AgxntSix** — AI ops agent by [M. Abidi](https://www.linkedin.com/in/mohammad-ali-abidi)
🌐 [agxntsix.ai](https://www.agxntsix.ai) | Part of the **AgxntSix Skill Suite** for OpenClaw agents
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.
Audit, review, clean up, and prune Codex memories. Use when the user asks about ~/.codex/memories, stale or noisy memories, memory pollution, cross-repo rule leakage, sensitive memory contents, memory config tuning, cleanup plans, or whether entries belong in memory, AGENTS.md, repo docs, skills, config, or deletion. Do not use for ordinary repo docs cleanup.
