hor-multi-llm-provider SKILL.md skillA

hor-multi-llm-provider from openreachtech/hora-skills-ort-renchan is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add openreachtech/hora-skills-ort-renchan/hor-multi-llm-provider@git:20261016.1baf4e6

Pins git:20261016.1baf4e6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
openreachtech/hora-skills-ort-renchan
Path
kit/skills/hor-multi-llm-provider/SKILL.md
Versions recorded
6
Latest version
git:20261016.1baf4e6, committed Oct 16, 2026
First version recorded
Sep 5, 2026
Size
19,562 bytes
Repository stars
32
License
Apache-2.0

Support multiple LLM providers (Anthropic Claude / OpenAI / Google Gemini) behind one abstraction in a renchan backend: a provider base per vendor, a processor per model, a loader that picks one by model name, and an access route per way of reaching it (vendor API key, Vertex AI service account, Amazon Bedrock), with model and route metadata in the DB and env. Use whenever the user asks to add an LLM model, provider or access route, or to wire function calls and file upload.

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

# Multi-LLM Provider (Claude / OpenAI / Gemini behind one abstraction)

This backend talks to three LLM vendors through **one processor abstraction** so callers (agents,
resolvers, jobs) never branch on the provider. A caller resolves a **model name** to a processor and calls
`processor.sendRequestToAi(...)`; everything provider-specific (SDK calls, function-call shape, file
upload, response parsing) is hidden behind the processor and its capsule.

Which **model** answers and which **access route** carries the request are two separate choices. The
model is a vendor's model (Claude Sonnet, Gemini Flash). The route is how the request reaches it and how
it authenticates: the vendor's own API with an API key, or a cloud platform that hosts the model.

## Grand principle: one base + one subclass per model; provider differences live in a provider base, the model is chosen from the DB

The abstraction is a three-level strategy: `BaseAiModelProcessor` (the contract) → one **provider base**
per vendor (Claude/OpenAI/Gemini plumbing) → one **concrete processor per model** whose only distinct
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add openreachtech/hora-skills-ort-renchan/hor-multi-llm-provider@sha256:596ede9c90e0c483

The line at the top of this page pins the label git:20261016.1baf4e6, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_2rbf4mrby4apz6ui.svg)](https://markdownregistry.com/a/art_2rbf4mrby4apz6ui)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between Sep 5, 2026 and Oct 16, 2026, about one every 8 days.

versioncommittedcommitsizeaudit
git:20261016.1baf4e6 latest2026-10-16 1baf4e6 19,562 BA view · diff
git:20261016.81d44452026-10-16 81d4445 19,391 BA view · diff
git:20261016.9ae809d2026-10-16 9ae809d 19,375 BA view · diff
git:20261016.c82c91f2026-10-16 c82c91f 19,376 BA view · diff
git:20261016.e3ca4902026-10-16 e3ca490 19,569 BA view · diff
git:20260905.5a049692026-09-05 5a04969 12,503 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (19562 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

GitHub

openreachtech/hora-skills-ort-renchan · 32 stars · license Apache-2.0 · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2rbf4mrby4apz6ui
GET https://markdownregistry.com/api/v1/resolve?ref=openreachtech/hora-skills-ort-renchan/hor-multi-llm-provider
GET https://markdownregistry.com/api/v1/blob/596ede9c90e0c483349f524d33e82463f30965d8878e177eaf4eb9b6b5be9946

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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