modelRegistry

modelRegistry is a skill for Claude Code from AlirezaSoltaniJazi/Skillnir. It costs 140 tokens per session (2,330 once invoked), scanned A, original, MIT.

A maintenance guide for an AI model registry: a list of model names, aliases, tiers, defaults, and backend command-line setup hints. It requires checking current authoritative sources because model offerings change.

In plain words
What is it for?
Use it when adding or retiring models, correcting model metadata, updating backend install or login help, or checking that the picker and tests agree.
Why use it?
It helps prevent outdated or incorrect model identifiers and login instructions from reaching a model picker or installation guide.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when adding or retiring models, correcting model metadata, updating backend install or login help, or checking that the picker and tests agree.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alirezasoltanijazi/skillnir/modelregistry
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.

Any agent
npx skills add AlirezaSoltaniJazi/Skillnir --skill modelregistry
Clone the repo
git clone --depth 1 https://github.com/AlirezaSoltaniJazi/Skillnir

Made for: Claude Code.

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 modelRegistry

README.md
[![agentmods](https://agentmods.dev/badge/skills/alirezasoltanijazi/skillnir/modelregistry/github.svg)](https://agentmods.dev/skills/alirezasoltanijazi/skillnir/modelregistry)
Your own site
<a href="https://agentmods.dev/skills/alirezasoltanijazi/skillnir/modelregistry"><img src="https://agentmods.dev/badge/skills/alirezasoltanijazi/skillnir/modelregistry/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for modelRegistry

Your own site · 80×15
<a href="https://agentmods.dev/skills/alirezasoltanijazi/skillnir/modelregistry"><img src="https://agentmods.dev/badge/skills/alirezasoltanijazi/skillnir/modelregistry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,330 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00140 $0.02330
Opus 5.5 $0.00056 $0.00932
Sonnet 5.5 $0.00028 $0.00466
Haiku 4.5 $0.00014 $0.00233

Measured 1mo ago against content hash fd625726b40a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

modelRegistry 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate-model-registry.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.data/skills/modelRegistry/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Before You Start

Read LEARNED.md first. It records which sources were reachable, account/tier limits found on this machine, and past corrections. Entries there override defaults here.

Announce skill usage. Say "Using: modelRegistry skill" at the very start of your response before doing any work.

Never answer model questions from memory. Model IDs are exact strings and the lineup changes often; a remembered ID is how a broken model reaches the picker. Always check a live source first — see model-sources.md.

When to Use

  1. Checking whether the model selection list is still current
  2. Adding a newly released model, or retiring one
  3. Fixing a wrong/missing model ID, alias, tier, or default
  4. Reviewing or updating the CLI install / login / verify hints
  5. Auditing that the picker, CLI, and tests all agree

Do NOT Use

  • Changing which model a run uses right now — that's the Settings page or the Switch Model dialog, not a code change.
  • Adding a new skill scope or prompt template — use skillnir (different registry, different file).
  • Backend behavior (effort, thinking, subprocess flags) — use backendEngineer; this skill owns the catalog data, not the execution path.

What This Skill Owns

Concern File
Model selection list (all 4 backends) src/skillnir/backends.py → BACKENDS[...].models
Default model + alias resolution src/skillnir/backends.py → default_model, resolve_model_id()
CLI install / login / verify hints src/skillnir/ui/components/welcome_dialog.py → _CLI_SETUP_INFO
Alias + catalog invariants (tests) tests/test_backends.py

Read the full file on GitHub · 154 lines

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. 1mo ago First seen · 154 lines · 140 tokens per session scan A fd625726b40a

Subscribe to this mod's changes

modelRegistry is a skill published in the GitHub repository AlirezaSoltaniJazi/Skillnir (9 stars, last pushed 12d ago), licensed MIT. It adds 140 tokens to every session and 2,330 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-09-20.

Related

modelRegistry compared with skills from other repositories

modelRegistry next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
modelRegistryAlirezaSoltaniJazi/SkillnirSkill912d agoMITA140Claude Code
agent-platform-model-registrygoogle/skillsSkill22kyesterdayApache-2.0A60Claude Code, Codex
foundry-config-setupmicrosoft/agent-frameworkSkill15kyesterdayMITA65Claude Code, Codex
google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skillsSkill22kyesterdayApache-2.0A132Claude Code, Codex
training-checkwanshuiyin/Auto-claude-code-research-in-sleepSkill19k3d agoMITA35Claude Code
nemo-automodel-launcher-configNVIDIA/skillsSkill3.9kyesterdayApache-2.0A30Claude Code
finetuningmicrosoft/skillsSkill3.2kyesterdayMITA132Claude Code