select-model

select-model is a skill for Claude Code, Codex from PINA-org/PINA. It costs 0 tokens per session (12 once invoked), scanned A, original, MIT.

A skill for selecting a model, but the available description does not explain how it works.

In plain words
What is it for?
The concrete tasks it supports cannot be determined from the supplied information.
Why use it?
The supplied information is not enough to identify the problem it solves.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/pina-org/pina/select-model
Any agent
npx skills add PINA-org/PINA --skill select-model
Clone the repo
git clone --depth 1 https://github.com/PINA-org/PINA

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for select-model

README.md
[![agentmods](https://agentmods.dev/badge/skills/pina-org/pina/select-model.svg)](https://agentmods.dev/skills/pina-org/pina/select-model)
Your own site
<a href="https://agentmods.dev/skills/pina-org/pina/select-model"><img src="https://agentmods.dev/badge/skills/pina-org/pina/select-model.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00012
Opus 5 $0.00000 $0.00006
Sonnet 5 $0.00000 $0.00002
Haiku 4.5 $0.00000 $0.00001

Measured 5d ago against content hash b0ccd5849cd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

select-model scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/select-model/SKILL.md · 1 lines

What it actually says

../../../.opencode/skills/select-model/SKILL.md

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 1 lines · 0 tokens per session scan A b0ccd5849cd5

Subscribe to this mod's changes

select-model is a skill published in the GitHub repository PINA-org/PINA (789 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 12 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

hf-release-notes

Generate Hugging Face Hub (huggingfacehub) release notes from cached PR JSON files. Use when asked to draft release notes from PR files.

huggingface/huggingface_hub · 36 tokens

physicsnemo-shard-tensor

Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor…

NVIDIA/physicsnemo · 152 tokens

physicsnemo-discover

Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via live repo search; never writes code. Do NOT use for installation or environment…

NVIDIA/physicsnemo · 124 tokens

graphsignal-profiler

Set up the Graphsignal Profiler for inference workloads — vLLM, SGLang, PyTorch, and dstack services. Use when the user wants GPU profiling, tracing, or monitoring for inference, asks about graphsignal-run or graphsignal.watch(), or asks about CUPTI / Prometheus / OTLP setup.

graphsignal/graphsignal-profiler · 74 tokens

model-integration

Use when adding a new model or pipeline to diffusers, setting up file structure for a new model, converting a pipeline to modular format, or converting weights for a new version of an already-supported model.

huggingface/diffusers · 45 tokens

custom-blocks

Use when the user has written (or wants to write) a ModularPipelineBlocks subclass in a local Python file and needs to package it into a Hub-uploadable directory. Covers the workflow from a single block.py file to a published custom-block repo that consumers can load via ModularPipeline.frompretrained( …

huggingface/diffusers · 79 tokens