Neural web search with page text: one call returns ranked sources with snippets.

MITAuto-check passedProductivity & Automation

Install Exa

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill exa -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors exa --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/exa .claude/skills/exa && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
exa
GitHub stars
1.3k
Token cost
~465 tokens
SKILL.md length
187 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Neural web search with page text: one call returns ranked sources with snippets.

  • Works in 4 steps: This connector is read-only: it only… → The search endpoint returns up to the… → Returned text snippets are raw page… → …
  • Tasks that involve Web search
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Exa is an agent skill from Anil-matcha/awesome-muse-connectors. Neural web search with page text: one call returns ranked sources with snippets. Trigger phrases: exa, exa search, search the web.

Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/exa.py`).

It sits in Productivity & Automation, covering Web search. It works with Exa. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Tasks that involve Web search

Example prompts

  • “/exa”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. This connector is read-only: it only searches and fetches page text. It never writes, modifies, or sends anything on the user's behalf.
  2. The search endpoint returns up to the requested numResults; keep --limit small (5 or fewer) unless the user asks for more, to conserve…
  3. Returned text snippets are raw page content; quote them, do not invent facts beyond them.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the token value.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Exa loads about 465 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 187 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~465

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 187 words, ~465 tokens.

Download SKILL.mdSave it as .claude/skills/exa/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
exa
description
Neural web search with page text: one call returns ranked sources with snippets. Trigger phrases: exa, exa search, search the web.
metadata.includeInPrompt
true
tagline
Neural web search with page text: one call returns ranked sources with snippets. Read-only.
catalog_auth
Exa API key (per-user, dashboard.exa.ai/api-keys)
catalog_hosts
api.exa.ai

Exa

Purpose

Read-only neural web search over Exa's index: one call returns ranked sources, and can also fetch each result's page text so the user gets snippets with substance. Use when the user mentions Exa or asks to search the web with ranked sources.

Tooling

All commands go through bin/exa.py:

bash
bin/exa.py auth                            # verify the connection
bin/exa.py search --query "Moltbook API" --limit 5   # search with page text

Auth

  • Provider id: exa (credential is collected as custom.exa)
  • Collection: API key via the secure credential flow (credentials.request_api_access)
  • Get a key: dashboard.exa.ai/api-keys
  • Allowed hosts: api.exa.ai
  • Status check: bin/exa.py auth (must return "ok": true)
  • Connect placement: custom_header:x-api-key

Operating Rules

  1. This connector is read-only: it only searches and fetches page text. It never writes, modifies, or sends anything on the user's behalf.
  2. The search endpoint returns up to the requested numResults; keep --limit small (5 or fewer) unless the user asks for more, to conserve quota.
  3. Returned text snippets are raw page content; quote them, do not invent facts beyond them.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the token value.

Files

  • SKILL.md
  • bin/exa.py

Maturity

🧪 Draft: written from Exa's public API docs; not yet live-tested end-to-end.

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/exa of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/exa.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Exa next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Exa compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Exa this skillAnil-matcha/awesome-muse-connectors1.3k—~465Automated safety check: PassMIT
Web SearchEXboys/skilllite1703 repos~1kAutomated safety check: PassMIT
Exa Searchaffaan-m/ECC275k2 repos~544Automated safety check: PassMIT
Exa Searchaffaan-m/ECC275k—~675Automated safety check: PassMIT
Exa SearchOpenMinis/MinisSkills444—~603Automated safety check: PassMIT
Exa Researchaiskillstore/marketplace4301 repos~1.8kAutomated safety check: PassNone

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  • Exa Search

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Works with

Questions about Exa

What does Exa do?

Neural web search with page text: one call returns ranked sources with snippets. Exa is an agent skill from Anil-matcha/awesome-muse-connectors. Neural web search with page text: one call returns ranked sources with snippets.

When should I use Exa?

Exa fits situations like: tasks that involve Web search.

How do I install Exa in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill exa -a claude-code`. Or copy the skill folder (connectors/exa in Anil-matcha/awesome-muse-connectors) into .claude/skills/exa in your project. Claude Code loads it when a task matches its description.

How do I install Exa in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill exa -a codex`. Or copy the skill folder (connectors/exa in Anil-matcha/awesome-muse-connectors) into .agents/skills/exa in your project. Codex loads it when a task matches its description.

Can I use Exa in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Anil-matcha/awesome-muse-connectors --skill exa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/exa, .gemini/skills/exa, .github/skills/exa and .opencode/skills/exa in your project.

What does Exa need to run?

Going by SKILL.md and its folder, Exa needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Exa access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Exa safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Exa use?

Exa is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Exa use?

About 465 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Exa?

Skills that share tags, products or a category with Exa: Web Search (EXboys/skilllite, 170 stars), Exa Search (affaan-m/ECC, 275k stars), Exa Search (affaan-m/ECC, 275k stars) and Exa Search (OpenMinis/MinisSkills, 444 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Exa?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,338 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.