model-routing SKILL.md skillA

model-routing from nahid-sparktales/agent-dispatcher is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nahid-sparktales/agent-dispatcher/model-routing@git:20260919.a0d4f55

Pins git:20260919.a0d4f55 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nahid-sparktales/agent-dispatcher
Path
skills/ai/model-routing/SKILL.md
Versions recorded
1
Latest version
git:20260919.a0d4f55, committed Sep 19, 2026
Size
7,633 bytes
Repository stars
58
License
MIT

Pick a model per job and degrade sensibly when one fails — a quality bar per call site, candidates compared on the same task set, a readable routing rule, and an explicit retry-versus-fallback path with pinned model ids. Use when cost or latency has become a problem, when adding a cheaper or larger model to an existing system, or when a fallback fires silently and quality drops without anyone noticing. Not for prompt authoring, not for retrieval tuning, and not for capacity or infrastructure…

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

# Model routing

Routing is a claim that one job needs less than another. That claim is either measured or it is a
guess with a billing line attached. The expensive mistake is not picking the wrong model — it is
switching models and having no way to notice what got worse.

## When this fires

A system calls more than one model, or is about to, and someone needs to decide which call goes
where and what happens when a call fails. It also fires when a fallback exists and nobody can say
how often it triggers. It does not fire for a single call site with no cost or latency pressure —
there, one capable model and no routing layer is the correct design.

## Procedure

1. **Enumerate the jobs, not the models.** Each call site is a job with its own latency budget,
   output shape, error tolerance, and whether a human sees the output before it has an effect.
   Routing decisions belong per job; a single global "which model do we use" question has no
   answer.
2. **Write the quality bar for each job before looking at any candidate.** What output counts as
   acceptable, and how that is checked: exact match, schema validity, a rubric, a graded sample,
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nahid-sparktales/agent-dispatcher/model-routing@sha256:66e6859df17db82f

The line at the top of this page pins the label git:20260919.a0d4f55, 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_4xvryyvwnbdluwjo.svg)](https://markdownregistry.com/a/art_4xvryyvwnbdluwjo)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 19, 2026.

versioncommittedcommitsizeaudit
git:20260919.a0d4f55 latest2026-09-19 a0d4f55 7,633 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 (7633 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

nahid-sparktales/agent-dispatcher · 58 stars · license MIT · pushed 2026-10-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4xvryyvwnbdluwjo
GET https://markdownregistry.com/api/v1/resolve?ref=nahid-sparktales/agent-dispatcher/model-routing
GET https://markdownregistry.com/api/v1/blob/66e6859df17db82f84ad236e9be15a007084ce20413991e9b54ca79aba16d4b3

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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Every file in nahid-sparktales/agent-dispatcher

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