find-model SKILL.md skillA
find-model from abhiindigloo/evalharness is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add abhiindigloo/evalharness/find-model@git:20261016.b34e048Pins git:20261016.b34e048 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- abhiindigloo/evalharness
- Path
skills/find-model/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261016.b34e048, committed Oct 16, 2026
- First version recorded
- Oct 14, 2026
- Size
- 8,393 bytes
- Repository stars
- 7
- License
- MIT
Compare and recommend AI models across providers (Anthropic Claude, Google Gemini, OpenAI, Bedrock, Vertex AI, Azure, Mistral, open-weight and local models) for a specific task, budget, and deployment route. Use whenever the user asks which model to use, whether a cheaper model is good enough, how models compare on quality, cost, speed, context, privacy, or availability, which model suits a coding subtask in their IDE or agent (planning, edits, review, tests, autocomplete), asks which models…
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 Finder Recommend a suitable AI model for the user's actual task. Treat "modal finder" as "model finder" when the context concerns AI. Never claim a universally best model; define "best" relative to the user's requirements and the evidence. ## Related skills in this plugin - **eval-models**: run the user's own examples against candidates and measure pass rate, latency, and billed cost. Offer it whenever the choice matters for production. - **route-models**: turn eval results into a cheapest-first routing setup with fallbacks. - **size-local-model**: estimate weights and KV-cache memory for local deployment. ## Provider coverage Compare across providers when relevant. Include Anthropic Claude and Google Gemini by name when the user asks for Claude, Gemini, or cross-provider choices. Consider OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, xAI, Mistral, Cohere, DeepSeek, Hugging Face, other hosted APIs, and open-weight or local models when they fit the task and constraints. This is a discovery guide, not a fixed catalog: verify what is currently available for the requested product, region, and route. …
Read the whole file at its exact version.
How to install
mdr add abhiindigloo/evalharness/find-model@sha256:0c4d2ef00dc0df3aThe line at the top of this page pins the label git:20261016.b34e048, 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_voza3bkb2xkzr4ld)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 14, 2026 and Oct 16, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261016.b34e048 latest | 2026-10-16 | b34e048 | 8,393 B | A | view · diff |
| git:20261014.4490b68 | 2026-10-14 | 4490b68 | 7,368 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 (8393 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
abhiindigloo/evalharness · 7 stars · license MIT · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_voza3bkb2xkzr4ld GET https://markdownregistry.com/api/v1/resolve?ref=abhiindigloo/evalharness/find-model GET https://markdownregistry.com/api/v1/blob/0c4d2ef00dc0df3afe80fef4f0c02c7cdf83c1b69045fe1798ef4e7ecb18db2f
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.