loomlensai

Estimate the cost of any AI prompt across 19+ models before you run it. Works with OpenAI, Anthropic, Google, DeepSeek, xAI, MiniMax, and local models.

3,891 stars

byopenclaw

View on GitHub Installation ↓

Best use case

loomlensai is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Estimate the cost of any AI prompt across 19+ models before you run it. Works with OpenAI, Anthropic, Google, DeepSeek, xAI, MiniMax, and local models.

Teams using loomlensai should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/loomlensai/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/avale-slai/loomlensai/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/loomlensai/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How loomlensai Compares

Feature / Agent	loomlensai	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Estimate the cost of any AI prompt across 19+ models before you run it. Works with OpenAI, Anthropic, Google, DeepSeek, xAI, MiniMax, and local models.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

# LoomLens AI™ — Prompt Cost Estimator

## What It Does

Estimates the **exact cost in USD** of running any prompt across 19+ AI models — before you spend a single token. Shows input tokens, output tokens, cached tokens, and cost per model for low/mid/high complexity bands.

## When to Use

- Before running a large prompt across multiple agents
- When optimizing for cost in production pipelines
- When comparing models for a new use case
- After prompt changes to check budget impact

## Syntax

In chat, type:
```
/loomlens Estimate the cost of this prompt across GPT-4o and Claude Sonnet 4
```

## Free Tier

**3 estimates/day free** with any Signalloom API key (no card required).

Get your free key: https://signalloomai.com/signup

Paid: $0.10/estimate (100 LoomTokens). LoomLens Pro: $15/mo for 1,000 estimates.

## Output

Returns cost breakdown per model:
- Input / Output / Cached token estimates
- Low / Mid / High cost bands
- Cheapest model recommendation
- Savings vs most expensive option

## Examples

```
/loomlens "You are an expert radiologist. Analyze this chest X-ray..." --agents 3 --runtime 5
/loomlens "Summarize this 10-page document" --models openai/gpt-4o anthropic/claude-haiku-4
/loomlens "Code review: find all security issues in this diff" --complexity high
```

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