moli-websearch

moli-websearch is a skill for Codex from lexmount/moli. It costs 49 tokens per session (1,437 once invoked), scanned A, original, Apache-2.0.

A web-search tool for finding information by keyword or by searching with an image. It can also fetch and check source pages so you can verify where results came from.

In plain words
What is it for?
Use it to research subjects, locate original or matching images, find sources, and check pages supporting an answer.
Why use it?
It helps when ordinary searches are incomplete, when you need several sources, or when you have an image but do not know its origin.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to research subjects, locate original or matching images, find sources, and check pages supporting an answer.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lexmount/moli/moli-websearch
About the project

Moli is a Rust-based headless browser that gives AI agents a complete browser runtime for retrieving pages, extracting content, searching the web, and automating browser tasks. It is for agents and developers who need JavaScript, DOM, CSS, networking, storage, rendering, screenshots, or browser automation through CLI, CDP, or WebDriver protocols. The catalogue contains skills and instructions for using Moli.

lexmount/moli · 18,671 stars · on GitHub · browser.lexmount.com

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 lexmount/moli --skill moli-websearch
Clone the repo
git clone --depth 1 https://github.com/lexmount/moli

Made for: 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 moli-websearch

README.md
[![agentmods](https://agentmods.dev/badge/skills/lexmount/moli/moli-websearch/github.svg)](https://agentmods.dev/skills/lexmount/moli/moli-websearch)
Your own site
<a href="https://agentmods.dev/skills/lexmount/moli/moli-websearch"><img src="https://agentmods.dev/badge/skills/lexmount/moli/moli-websearch/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 moli-websearch

Your own site · 80×15
<a href="https://agentmods.dev/skills/lexmount/moli/moli-websearch"><img src="https://agentmods.dev/badge/skills/lexmount/moli/moli-websearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,437 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00049 $0.01437
Opus 5.5 $0.00020 $0.00575
Sonnet 5.5 $0.00010 $0.00287
Haiku 4.5 $0.00005 $0.00144

Measured 11d ago against content hash 9a7fb3145676, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

moli-websearch scanned grade A with 1 finding 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl --proto '=https' --tlsv1.2 -fsSL \
skills/moli-websearch/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search the Web with Moli

Search by keyword or image and verify source pages with Moli throughout.

Parallel Execution

  • Batch first. Launch 4–6 independent searches together, covering at least 3 suitable engines when available. For broad requests, split the work into independent subquestions and keep 8–12 searches and source fetches in flight. Honor explicit source/budget limits and available work. Regional aliases and DuckDuckGo HTML/Lite count as one engine.
  • Dispatch before waiting. Use parallel tool calls or a subprocess pool; refill slots as results arrive. Deduplicate promising URLs and fetch source pages concurrently, without waiting for the slowest search. Keep errors and outputs separate per job so one failure cannot abort the batch. Limit each engine/source host to 2 concurrent requests; reduce load on rate/resource limits.
  • Recover across engines with Moli. On CAPTCHA, access errors, timeouts, empty shells, or irrelevant results, queue another suitable engine or route while other jobs continue. Use the full engine tables when needed. Stop expanding once the requested coverage has been verified or the task budget is reached; report remaining gaps.
  • Keep tool changes explicit. A single blocked engine is not a reason to switch to built-in search. Switch only if the user requests it, Moli cannot run after setup, or two diversified batches for an unresolved question yield no usable results. Disclose the attempts and tool change; honor Moli-only requests by reporting blockers instead. Track actual Moli search calls separately from source fetches so execution counts can be reported accurately.

Fast Path

These routes returned relevant results locally. Choose several for the first batch by language and input; row order is not priority. Availability varies with network and session. Encode the query as Q or the public image URL as ENC once with encodeURIComponent(...).

Text search

Engine Search URL
Brave https://search.brave.com/search?q=Q
DuckDuckGo HTML / Lite https://html.duckduckgo.com/html/?q=Q / https://lite.duckduckgo.com/lite/?q=Q
Yahoo https://search.yahoo.com/search?p=Q
Baidu https://www.baidu.com/s?wd=Q
Shenma https://m.sm.cn/s?q=Q
Toutiao https://so.toutiao.com/search?keyword=Q
Sogou Weixin https://weixin.sogou.com/weixin?type=2&query=Q
Naver https://search.naver.com/search.naver?query=Q

Read the full file on GitHub · 121 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago Changed · -1 lines 9a7fb3145676
  2. 1mo ago First seen · 122 lines · 49 tokens per session scan A e059a5c6c563

Subscribe to this mod's changes

moli-websearch is a skill published in the GitHub repository lexmount/moli (18,671 stars, last pushed today), licensed Apache-2.0. It adds 49 tokens to every session and 1,437 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-10.

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