Model Intel Pro

Live LLM model pricing and capabilities from OpenRouter. List top models, search by name, compare side-by-side, find best model for a use case, check pricing...

Security Scan

The skill largely does what it claims (calls OpenRouter to list and compare models), but there are mismatches around credential usage and an undeclared file read that warrant caution.

Purpose & Capability

Name/description match the code: the script fetches model data from https://openrouter.ai and provides list/search/compare/best/price commands. However the skill declares OPENROUTER_API_KEY as required even though the HTTP requests in the included script do not actually use that key (no header/param). That mismatch is unexpected — either the API key is unnecessary or the script is buggy/unfinished.

Instruction Scope

SKILL.md instructs running the bundled Python script, which is fine. The script, however, will attempt to read ~/.openclaw/workspace/.env to extract OPENROUTER_API_KEY if the env var is not set. The manifest said no required config paths; reading a workspace dotfile in the user's home is an access beyond the declared scope and should have been listed. The script does not read other arbitrary files, but the undeclared home path access is a scope mismatch.

Install Mechanism

No install spec is present (instruction-only). That minimizes install-time risk. The bundle includes a single Python script which will be executed; there's no downloader, third-party install, or archive extraction.

Credentials

The only required env var is OPENROUTER_API_KEY, which is reasonable for an OpenRouter integration. But the script reads the API key from ~/.openclaw/workspace/.env as a fallback and then never uses the key in its requests. This either indicates sloppy/unfinished code or unnecessary access to a file that may contain other secrets. Requesting a credential and not using it is disproportionate and confusing.

Persistence & Privilege

The skill does not request always: true and does not attempt to persist itself or modify other skills or system settings. It runs on-demand and performs network calls only to openrouter.ai.

What to consider before installing

This skill appears to implement the advertised model-intel functionality (it fetches model data from openrouter.ai and prints comparisons), but there are a couple of red flags: 1) it declares OPENROUTER_API_KEY but the HTTP requests do not use the key (no Authorization header or API param), and 2) the script will try to read ~/.openclaw/workspace/.env for the key even though the manifest lists no required config paths. These could be harmless (a bug or unfinished code) but could also mean the author intended to use the key or access workspace config in ways not declared. Before installing: review the script yourself (it’s short), run it in an isolated environment or sandbox, and avoid exposing a real API key until you confirm where it is sent. Prefer setting the env var only for ephemeral sessions, or remove the key from your home .env if you don’t want it read. If you need higher assurance, ask the publisher to explain why the key is declared but not used and to remove the fallback file read or declare it explicitly.

Model Intel 🧠💰

Live LLM model intelligence — pricing, capabilities, and comparisons from OpenRouter.

When to Use

• Finding the best model for a specific task (coding, reasoning, creative, fast, cheap)
• Comparing model pricing and capabilities
• Checking current model availability and context lengths
• Answering "what's the cheapest model that can do X?"

Usage

# List top models by provider
python3 {baseDir}/scripts/model_intel.py list

# Search by name
python3 {baseDir}/scripts/model_intel.py search "claude"

# Side-by-side comparison
python3 {baseDir}/scripts/model_intel.py compare "claude-opus" "gpt-4o"

# Best model for a use case
python3 {baseDir}/scripts/model_intel.py best fast
python3 {baseDir}/scripts/model_intel.py best code
python3 {baseDir}/scripts/model_intel.py best reasoning
python3 {baseDir}/scripts/model_intel.py best cheap
python3 {baseDir}/scripts/model_intel.py best vision

# Pricing details
python3 {baseDir}/scripts/model_intel.py price "gemini-flash"

Use Cases

Command	When
best fast	Need lowest latency
best cheap	Budget-constrained
best code	Programming tasks
best reasoning	Complex logic/math
best vision	Image understanding
best long-context	Large document processing

Credits

Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

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