Agent skill · Audited from source

Ai Models

skill · alinaqi/claude-bootstrapMIT licenceAudited 14 Oct 2026 · source ea59a0c53d79

★ 707pushed today
✓SAFEGrade B · 89/100 · 14 Oct 2026 · ea59a0c
707repo stars · whole alinaqi/claude-bootstrap

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit ea59a0c53d79 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate

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Cite this page

ModelsAtlas. “Ai Models (alinaqi/claude-bootstrap)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/alinaqi/ai-models

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha ea59a0c53d79 · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisheralinaqi GitHub userOwner of the repository this skill is read from
  • Source folderalinaqi/claude-bootstrap/skills/ai-modelsThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdictea59a0c53d79A new audit runs when the source changes
  • Repository statusNot archivedPushed today
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate

---
name: ai-models
description: Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
when-to-use: When choosing models, comparing capabilities, or referencing model specs
user-invocable: true
effort: low
---

# AI Models Reference Skill


**Last Updated: December 2025**

## Philosophy

**Use the right model for the job.** Bigger isn't always better - match model capabilities to task requirements. Consider cost, latency, and accuracy tradeoffs.

## Model Selection Matrix

| Task | Recommended | Why |
|------|-------------|-----|
| Complex reasoning | Claude Opus 4.5, o3, Gemini 3 Pro | Highest accuracy |
| Fast chat/completion | Claude Haiku, GPT-4.1 mini, Gemini Flash | Low latency, cheap |
| Code generation | Claude Sonnet 4.5, Codestral, GPT-4.1 | Strong coding |
| Vision/images | Claude Sonnet, GPT-4o, Gemini 3 Pro | Multimodal |
| Embeddings | text-embedding-3-small, Voyage | Cost-effective |
| Voice synthesis | Eleven Labs v3, OpenAI TTS | Natural sounding |
| Image generation | FLUX.2, DALL-E 3, SD 3.5 | Different styles |

---

## Anthropic (Claude)

### Documentation
- **API Docs**: https://docs.anthropic.com
- **Models Overview**: https://docs.anthropic.com/en/docs/about-claude/models/overview
- **Pricing**: https://www.anthropic.com/pricing

### Latest Models (December 2025)

```typescript
const CLAUDE_MODELS = {
  // Flagship - highest capability
  opus: 'claude-opus-4-5-20251101',

  // Balanced - best for most tasks
  sonnet: 'claude-sonnet-4-5-20250929',

  // Previous generation (still excellent)
  opus4: 'claude-opus-4-6',
  sonnet4: 'claude-sonnet-5',

  // Fast & cheap - high volume tasks
  haiku: 'claude-haiku-4-5-20251001',
} as const;
```

### Usage
```typescript
import Anthropic from '@anthropic-ai/sdk';

const anthropic = new Anthropic({
  apiKey: process.env.ANTHROPIC_API_KEY,
});

const response = await anthropic.messages.create({
  model: 'claude-sonnet-4-5-20250929',
  max_tokens: 1024,
  messages: [
    { role: 'user', content: 'Hello, Claude!' }
  ],
});
```

### Model Selection
```
claude-opus-4-5-20251101 (Opus 4.5)
├── Best for: Complex analysis, research, nuanced writing
├── Context: 200K tokens
├── Cost: $5/$25 per 1M tokens (input/output)
└── Use when: Accuracy matters most

claude-sonnet-4-5-20250929 (Sonnet 4.5)
├── Best for: Code, general tasks, balanced performance
├── Context: 200K tokens
├── Cost: $3/$15 per 1M tokens
└── Use when: Default choice for most applications

claude-haiku-4-5-20251001 (Haiku 4.5)
├── Best for: Classification, extraction, high-volume
├── Context: 200K tokens
├── Cost: $1/$5 per 1M tokens
└── Use when: Speed and cost matter most
```

---

## OpenAI

### Documentation
- **API Docs**: https://platform.openai.com/docs
- **Models**: https://platform.openai.com/docs/models
- **Pricing**: https://openai.com/pricing

### Latest Models (December 2025)

```typescript
const OPENAI_MODELS = {
  // GPT-5 series (latest)
  gpt5: 'gpt-5.2',
  gpt5Mini: 'gpt-5-mini',

  // GPT-4.1 series (recommended for most)
  gpt41: 'gpt-4.1',
  gpt41Mini: 'gpt-4.1-mini',
  gpt41Nano: 'gpt-4.1-nano',

  // Reasoning models (o-series)
  o3: 'o3',
  o3Pro: 'o3-pro',
  o4Mini: 'o4-mini',

  // Legacy but still useful
  gpt4o: 'gpt-4o',           // Still has audio support
  gpt4oMini: 'gpt-4o-mini',

  // Embeddings
  embeddingSmall: 'text-embedding-3-small',
  embeddingLarge: 'text-embedding-3-large',

  // Image generation
  dalle3: 'dall-e-3',
  gptImage: 'gpt-image-1',

  // Audio
  tts: 'tts-1',
  ttsHd: 'tts-1-hd',
  whisper: 'whisper-1',
} as const;
```

### Usage
```typescript
import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
});

// Chat completion
const response = await openai.chat.completions.create({
  model: 'gpt-4.1',
  messages: [
    { role: 'user', content: 'Hello!' }
  ],
});

// With vision
const visionResponse = await openai.chat.completions.create({
  model: 'gpt-4.1',
  messages: [
    {
      role: 'user',
      content: [
        { type: 'text', text: 'What is in this image?' },
        { type: 'image_url', image_url: { url: 'https://...' } },
      ],
    },
  ],
});

// Embeddings
const embedding = await openai.embeddings.create({
  model: 'text-embedding-3-small',
  input: 'Your text here',
});
```

### Model Selection
```
o3 / o3-pro
├── Best for: Math, coding, complex multi-step reasoning
├── Context: 200K tokens
├── Cost: Premium pricing
└── Use when: Hardest problems, need chain-of-thought

gpt-4.1
├── Best for: General tasks, coding, instruction following
├── Context: 1M tokens (!)
├── Cost: Lower than GPT-4o
└── Use when: Default choice, replaces GPT-4o

gpt-4.1-mini / gpt-4.1-nano
├── Best for: High-volume, cost-sensitive
├── Context: 1M tokens
├── Cost: Very low
└── Use when: Simple tasks at scale

o4-mini
├── Best for: Fast reasoning at low cost
├── Context: 200K tokens
├── Cost: Budget reasoning
└── Use when: Need reasoning but cost-conscious
```

---

## Google (Gemini)

### Documentation
- **API Docs**: https://ai.google.dev/docs
- **Models**: https://ai.google.dev/gemini-api/docs/models/gemini
- **Pricing**: https://ai.google.dev/pricing

### Latest Models (December 2025)

```typescript
const GEMINI_MODELS = {
  // Gemini 3 (Latest)
  gemini3Pro: 'gemini-3-pro-preview',
  gemini3ProImage: 'gemini-3-pro-image-preview',
  gemini3Flash: 'gemini-3-flash-preview',

  // Gemini 2.5 (Stable)
  gemini25Pro: 'gemini-2.5-pro',
  gemini25Flash: 'gemini-2.5-flash',
  gemini25FlashLite: 'gemini-2.5-flash-lite',

  // Specialized
  gemini25FlashTTS: 'gemini-2.5-flash-preview-tts',
  gemini25FlashAudio: 'gemini-2.5-flash-native-audio-preview-12-2025',

  // Previous generation
  gemini2Flash: 'gemini-2.0-flash',
} as const;
```

### Usage
```typescript
import { GoogleGenerativeAI } from '@google/generative-ai';

const genAI = new GoogleGenerativeAI(process.env.GOOGLE_API_KEY);
const model = genAI.getGenerativeModel({ model: 'gemini-2.5-flash' });

const result 

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit ea59a0c

Download folder ↗
git clone https://github.com/alinaqi/claude-bootstrap
git -C claude-bootstrap checkout ea59a0c53d79

The author documents no install command, so this uses the repository directly. Our verdict covers commit ea59a0c53d79 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source ea59a0c53d79

Questions about Ai Models

What does the Ai Models skill do?
What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center
Is Ai Models safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Ai Models access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (ea59a0c53d79), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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