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README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: openai-compatible
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pipeline_tag: text-generation
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tags:
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- stealth-skeleton
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- mathematical-reasoning
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- conformal-prediction
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- optimal-transport
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- tool-calling
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- code-generation
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- livebench
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inference: false
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---
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# stealth-skeleton/skeleton-alpha
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**Stealth-Skeleton Research (`stealth-skeleton`)**
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> **API-only.** This repository is the official Model Card & Documentation Hub for the `stealth-skeleton/skeleton-alpha` endpoint on OpenRouter. It does **not** contain downloadable model weights. The Apache-2.0 license applies to the documentation and configuration files in this repository.
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**skeleton-alpha** is a free crowd-RLHF preview: an execution-verified coding, math and tool-calling model from the `stealth-skeleton` family, which targets sovereign mathematical, spectral-operator, conformal-prediction and execution-verified coding/reasoning workloads.
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| Property | Value |
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|---|---|
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| Context window | 128K tokens |
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| Max output | 16K tokens |
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| Pricing | Free (community research preview) |
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| Tool calling | Auto-Exacto grammar healing (>95%, self-reported) |
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| Interface | OpenAI-compatible Chat Completions |
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## Architecture & Capabilities
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- **Execution-verified mathematical operator synthesis**: generated operators are checked by running them.
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- **Sinkhorn-Knopp optimal transport**: L1 marginal residual 1.39e-16 at 40 iterations, epsilon = 0.15.
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- **Frisch-Waugh-Lovell (FWL) orthogonal projection**: residual < 1e-15.
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- **Romano Conformalized Quantile Regression (CQR)**: 90.35% empirical out-of-sample coverage, 0.2337 Normal CRPS.
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- **36th-order Hou-Li spectral filtering**.
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- **Auto-Exacto tool-calling grammar healing**: malformed tool-call JSON is repaired before it is returned.
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All figures above are self-reported from internal tests.
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## Benchmarks: Internal 3-Pass Evaluation Suite (Self-Reported)
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These results come from our internal 3-pass evaluation suite. They have not been independently verified and may differ from official leaderboard runs.
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| Suite | Score |
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|---|---|
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| MATH-500 | 92.00% |
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| GSM8K | 96.00% |
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| HumanEval | 92.00% |
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| GPQA-Diamond | 73.33% |
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| MMLU-Pro | 86.00% |
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| Arena-Hard | 85.00% |
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| ForecastBench (Proper Brier Skill) | 78.52% (0.0969 Brier) |
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| **Composite (mean of 7)** | **86.12 / 100** |
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## Usage
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Model ID: `stealth-skeleton/skeleton-alpha` via OpenRouter, once provider routing is active for your account.
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### Python (OpenAI SDK)
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```python
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from openai import OpenAI
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client = OpenAI(
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base_url="https://openrouter.ai/api/v1",
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api_key="<YOUR_OPENROUTER_API_KEY>",
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)
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resp = client.chat.completions.create(
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model="stealth-skeleton/skeleton-alpha",
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messages=[{"role": "user", "content": "Prove that the sum of two even integers is even."}],
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)
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print(resp.choices[0].message.content)
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```
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### curl
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```bash
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curl https://openrouter.ai/api/v1/chat/completions \
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-H "Authorization: Bearer $OPENROUTER_API_KEY" \
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-H "Content-Type: application/json" \
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-d '{
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"model": "stealth-skeleton/skeleton-alpha",
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"messages": [{"role": "user", "content": "Write a Python function for the Sinkhorn-Knopp algorithm."}]
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}'
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```
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### sst/opencode
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```json
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{
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"$schema": "https://opencode.ai/config.json",
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"provider": {
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"openrouter": {
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"options": { "apiKey": "<YOUR_OPENROUTER_API_KEY>" },
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"models": { "stealth-skeleton/skeleton-alpha": {} }
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}
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},
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"model": "openrouter/stealth-skeleton/skeleton-alpha"
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}
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```
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## Data & Privacy
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`skeleton-alpha` is a **free community research preview**. Anonymized mathematical and tool-calling traces may be evaluated by our automated execution verifier for DPO/GRPO alignment. Do not submit confidential, personal or proprietary data to this endpoint. For zero-retention use, see `stealth-skeleton/skeleton-v1`.
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## Limitations
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- Preview model: behavior, limits and availability may change without notice.
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- Self-reported benchmarks only; validate on your own workloads.
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- Not intended for safety-critical, medical, legal or financial decisions.
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