maintain-model-list

maintain-model-list is a skill for Claude Code from alibaba/page-agent. It costs 53 tokens per session (1,191 once invoked), scanned A, original, MIT.

A maintenance procedure for the list of language models supported by an application, kept consistently across documentation, tests, and request-specific settings.

In plain words
What is it for?
Use it to add a model, update supported-model records, or check whether listed models are still available.
Why use it?
It prevents different parts of the application from disagreeing about which models exist or how they should be called.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: installed under .agents/ (shared by several agents).

About the project

Page Agent is a JavaScript library that embeds a natural-language agent inside a web page and lets it operate the page through its text-based DOM. It is used for web copilots, form filling, accessibility, and browser workflows, while the catalogue entries provide agent skills and instructions for using it.

alibaba/page-agent · 28,995 stars · on GitHub · alibaba.github.io

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/alibaba/page-agent/maintain-model-list
Any agent
npx skills add alibaba/page-agent --skill maintain-model-list
Clone the repo
git clone --depth 1 https://github.com/alibaba/page-agent

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 maintain-model-list

README.md
[![agentmods](https://agentmods.dev/badge/skills/alibaba/page-agent/maintain-model-list.svg)](https://agentmods.dev/skills/alibaba/page-agent/maintain-model-list)
Your own site
<a href="https://agentmods.dev/skills/alibaba/page-agent/maintain-model-list"><img src="https://agentmods.dev/badge/skills/alibaba/page-agent/maintain-model-list.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,191 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 5.1 $0.00053 $0.01191
Opus 5 $0.00026 $0.00596
Sonnet 5 $0.00011 $0.00238
Haiku 4.5 $0.00005 $0.00119

Measured 6d ago against content hash 74c8cc89d88f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

maintain-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/maintain-model-list/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Maintain Model List

The supported model list lives in three places that must stay in sync:

File What it holds
packages/website/src/pages/docs/features/models/page.tsx MODEL_GROUPS (public docs, source of truth for display names) and BASELINE (recommended models)
packages/llms/src/models.live.test.ts Mirrored MODEL_GROUPS, plus OPENROUTER_ID_OVERRIDES / ALIYUN_ID_OVERRIDES for provider-specific model ids
packages/llms/src/utils.ts modelPatch — per-model-family request parameter fixes (thinking/reasoning flags, tool_choice quirks, etc.)

Before Touching Anything

  1. Run git status. If the working tree has uncommitted changes that look like unrelated in-progress work, do NOT edit files — report the situation and ask the user for permission first.
  2. Run the full live test suite as a baseline: npm run test:live -w @page-agent/llms. API keys come from the repo-root .env (TESTING_OPENROUTER_KEY, TESTING_ALIYUN_KEY, TESTING_DEEPSEEK_KEY); tests skip silently when a key is missing, so check which providers actually ran. Record which models pass/fail before making changes, so new failures are attributable.

Workflow A: A Specific Model Was Given

  1. Research the model (web search + provider docs):
    • Is it served on OpenRouter? Fetch https://openrouter.ai/api/v1/models and find the exact id (<vendor-slug>/<model-id>, watch for -preview, dated snapshots, dots vs hyphens).
    • Which other channels serve it (vendor native API, Aliyun DashScope, etc.) and what are their native model ids?
    • API differences: can thinking/reasoning be disabled or minimized? Any tool_choice, parallel_tool_calls, or parameter-schema quirks? Does the vendor's OpenAI-compatible endpoint differ from OpenRouter's behavior?
    • Agent suitability: tool call support is mandatory; note context window, latency, and cost.
  2. Update modelPatch in packages/llms/src/utils.ts if the model needs new parameter handling. Model names are matched after normalizeModelName (lowercased, /-prefix, . and _ stripped) — check whether an existing family branch already covers it.
  3. Add the model to both MODEL_GROUPS lists (website page and live test), newest first within its brand group. Add id overrides if the OpenRouter/Aliyun id differs from the display name.
  4. Test availability carefully. Run the live suite and confirm the new model passes on every provider that serves it:

Read the full file on GitHub · 63 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. 6d ago First seen · 63 lines · 53 tokens per session scan A 74c8cc89d88f

Subscribe to this mod's changes

maintain-model-list is a skill published in the GitHub repository alibaba/page-agent (28,995 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 1,191 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.

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