llm-integration SKILL.md skillA
llm-integration from yonatangross/orchestkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yonatangross/orchestkit/llm-integration@v2.0.0Pins v2.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yonatangross/orchestkit
- Path
plugins/ork/skills/llm-integration/SKILL.md- Versions recorded
- 10
- Latest version
- v2.0.0, committed Oct 1, 2026
- First version recorded
- Jul 10, 2026
- Size
- 10,871 bytes
- Repository stars
- 296
- License
- MIT
LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LLM Integration
Patterns for integrating LLMs into production applications: tool use, streaming, local inference, and fine-tuning. Each category has individual rule files in `rules/` loaded on-demand.
## Quick Reference
| Category | Rules | Impact | When to Use |
|----------|-------|--------|-------------|
| [Function Calling](#function-calling) | 3 | CRITICAL | Tool definitions, parallel execution, input validation |
| [Streaming](#streaming) | 3 | HIGH | SSE endpoints, structured streaming, backpressure handling |
| [Local Inference](#local-inference) | 3 | HIGH | Ollama setup, model selection, GPU optimization |
| [Fine-Tuning](#fine-tuning) | 3 | HIGH | LoRA/QLoRA training, dataset preparation, evaluation |
| [Context Optimization](#context-optimization) | 2 | HIGH | Window management, compression, caching, budget scaling |
| [Evaluation](#evaluation) | 2 | HIGH | LLM-as-judge, RAGAS metrics, quality gates, benchmarks |
| [Prompt Engineering](#prompt-engineering) | 4 | HIGH | CoT, few-shot, versioning, DSPy optimization, ReAct, cost optimization |
**Total: 20 rules across 7 categories**
## Quick Start
```python
# Function calling: strict mode tool definition
tools = [{
…Read the whole file at its exact version.
How to install
mdr add yonatangross/orchestkit/llm-integration@sha256:f113dba7e862160cThe line at the top of this page pins the label v2.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_mlztc3dma7yq5gkk)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 10 versions of this file, between Jul 10, 2026 and Oct 1, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.0 latest | 2026-10-01 | f7f0856 | 10,871 B | A | view · diff |
| v2.0.0 | 2026-09-29 | 105a980 | 10,847 B | A | view · diff |
| v2.0.0 | 2026-09-28 | 7784b90 | 10,865 B | A | view · diff |
| v2.0.0 | 2026-09-28 | 220adb4 | 10,728 B | A | view · diff |
| v2.0.0 | 2026-09-28 | baa07a5 | 10,741 B | A | view · diff |
| v2.0.0 | 2026-09-02 | 725471b | 10,071 B | A | view · diff |
| v2.0.0 | 2026-08-29 | 2aed0b0 | 9,881 B | A | view · diff |
| v2.0.0 | 2026-07-31 | 0e6a3a8 | 9,881 B | A | view · diff |
| v2.0.0 | 2026-07-25 | 47b78fb | 8,257 B | A | view · diff |
| v2.0.0 | 2026-07-10 | 10a2d30 | 8,257 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10871 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
yonatangross/orchestkit · 296 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mlztc3dma7yq5gkk GET https://markdownregistry.com/api/v1/resolve?ref=yonatangross/orchestkit/llm-integration GET https://markdownregistry.com/api/v1/blob/f113dba7e862160cfd3f7e3ea1ac6371f2cfab7c6eb3aaefa5decfa515c71130
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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