What is maintain-model-list?

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

Use it to add a model, update supported-model records, or check whether listed models are still available.

It prevents different parts of the application from disagreeing about which models exist or how they should be called.

How alibaba/page-agent configures Claude Code

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 · 29,595 stars · on GitHub · alibaba.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to alibaba/page-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/alibaba/page-agent/main/.agents/skills/maintain-model-list/SKILL.md

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/alibaba/page-agent/maintain-model-list/github.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/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.

Your own site · 80×15

<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="Reviewed on agentmods" width="80" 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. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

Snyk warn 7 Sept 2026
NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Prompt Injection · line 11
Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.

Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00053	$0.01191
Opus 5.5	$0.00021	$0.00476
Sonnet 5.5	$0.00011	$0.00238
Haiku 4.5	$0.00005	$0.00119

Measured 2mo ago against content hash 74c8cc89d88f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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

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.
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

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.
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.
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.
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.

2mo 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 (29,595 stars, last pushed 8d ago), licensed MIT. It adds 53 tokens to every session and 1,191 once invoked, about $0.0002 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 2026-08-30.

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page-agent: Skill for Claude Code