update-llm-model-list

update-llm-model-list is a skill for Claude Code, Codex from Agenta-AI/agenta. It costs 50 tokens per session (1,903 once invoked), scanned A, original, no licence file.

A maintenance guide for checking the project's list of supported large language models against LiteLLM's online model registry. LiteLLM is a tool that connects applications to many language-model providers.

In plain words
What is it for?
Use it to add new models, remove outdated models, or verify the list in assets.py.
Why use it?
It helps keep the model list accurate when models are added, removed, or renamed. This reduces the chance of relying on outdated support information.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

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/agenta-ai/agenta/update-llm-model-list
Any agent
npx skills add Agenta-AI/agenta --skill update-llm-model-list
Clone the repo
git clone --depth 1 https://github.com/Agenta-AI/agenta

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 update-llm-model-list

README.md
[![agentmods](https://agentmods.dev/badge/skills/agenta-ai/agenta/update-llm-model-list.svg)](https://agentmods.dev/skills/agenta-ai/agenta/update-llm-model-list)
Your own site
<a href="https://agentmods.dev/skills/agenta-ai/agenta/update-llm-model-list"><img src="https://agentmods.dev/badge/skills/agenta-ai/agenta/update-llm-model-list.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,903 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00050 $0.01903
Opus 5 $0.00025 $0.00951
Sonnet 5 $0.00010 $0.00381
Haiku 4.5 $0.00005 $0.00190

Measured 6d ago against content hash 48a0c7dc00ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

update-llm-model-list 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 6d 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/update-llm-model-list/SKILL.md · 195 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 6d ago First seen · 195 lines · 50 tokens per session scan A 48a0c7dc00ca

Subscribe to this mod's changes

update-llm-model-list is a skill published in the GitHub repository Agenta-AI/agenta (4,685 stars, last pushed today), with no licence file. It adds 50 tokens to every session and 1,903 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

Related

Other skills, from other repositories

tutti-workspace-app-factory

Create, convert, or repair one Tutti workspace app as either a self-contained publishable package under package/ or a Chrome-style local debug app under .tutti/dev-app/. Use for mention://workspace-app-factory/create handoffs, mention://workspace-app-factory handoffs, standalone app generation, adapting existing…

tutti-os/tutti · 138 tokens

tutti-app-release

Set up, review, run, or debug external repositories that publish a Tutti workspace app through the reusable Tutti App Release GitHub Actions workflow. Use for caller workflows, tutti.app.json manifests, @tutti-os/app-release-tools, S3/CloudFront release hosting, latest.json, versions.json, catalog.json, catalog-only…

tutti-os/tutti · 80 tokens

tutti-record-agent-session-replay

From a Tutti checkout, run, audit, freshly replay, publish, or diagnose Session Replay cassettes that are driven by case-repository scenario scripts (CDP), not by interactive UI recording. Use for real-Provider capture while a scenario.mjs executes, cassette transport or semantic-state mismatches, fresh replay…

tutti-os/tutti · 127 tokens

analyze-performance-traces

Analyze Chrome, Chromium, Electron, React DevTools, or Perfetto-compatible JSON traces and audit user-reported profiling findings without loading large artifacts into context; prove trigger-to-render/layout chains, separate measured facts from source inference, find exact code choke points, classify forced layout and…

tutti-os/tutti · 127 tokens

tutti-architecture-review

Review tutti git diffs for project structure, layering, module ownership, and duplicate event-center infrastructure by planning focused architecture review tasks, then having the main agent orchestrate sub-agents for only the changed areas.

tutti-os/tutti · 48 tokens

tutti-test-audit

Audit, design, write, materially revise, or remove Tutti tests. Use whenever Codex changes or reviews unit, component, conformance, integration, regression, platform, or repository tests; enforce a protected product contract, credible failure, correct owning boundary, negative-control evidence, overlap review…

tutti-os/tutti · 74 tokens