Run a controlled first Google search through an official SerpAPI client and validate metadata before consuming result sections.

MITAuto-check passedTesting & QA

Install Serpapi Hello World

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill serpapi-hello-world -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace serpapi-hello-world --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/serpapi-hello-world .claude/skills/serpapi-hello-world && 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
serpapi-hello-world
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
373 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Run a controlled first Google search through an official SerpAPI client and validate metadata before consuming result sections.

  • Works in 7 steps: Confirm the query is non-sensitive and… → Check Account API for available searches… → Preview one request with engine=google,… → …
  • Proving a new integration end to end
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Needs SERPAPI_KEY

What it does

Serpapi Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Run a controlled first Google search through an official SerpAPI client and validate metadata before consuming result sections. Use when proving a new integration end to end. Trigger with "run a SerpAPI smoke test".

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code; a live smoke test requires a valid server-side key and may consume search allowance

It sits in Testing & QA, covering Web search and QA and bug reports. It works with SerpApi. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Proving a new integration end to end
  • With run a SerpAPI smoke test

Example prompts

  • “run a SerpAPI smoke test”
  • “/serpapi-hello-world”

Requirements

  • Python 3
  • A credential in SERPAPI_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code; a live smoke test requires a valid server-side key and may consume search allowance
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit, Bash(python3:*), Bash(npm:*)

Workflow steps

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

  1. Confirm the query is non-sensitive and set explicit location, hl, and gl values when geographic reproducibility matters.
  2. Check Account API for available searches and hourly throughput without spending allowance.
  3. Preview one request with engine=google, q, and the minimum necessary parameters.
  4. After approval, execute exactly one search with a finite client timeout.
  5. Require search_metadata.status == "Success"; treat missing result sections as optional schema branches.
  6. Extract only the fields required by the caller and preserve the search ID for support correlation.
  7. Record client version, normalized parameters, status, elapsed time, result counts, and search ID with the key and sensitive query data…

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit
    • Bash(python3:*)
    • Bash(npm:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

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

  • Network

    Links to these hosts (documentation or services it may open):

    • serpapi.com
    • github.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • SERPAPI_KEY

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

  • Compatibility

    Designed for Claude Code; a live smoke test requires a valid server-side key and may consume search allowance

    From compatibility in the SKILL.md frontmatter.

Context cost

Serpapi Hello World loads about 1k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 373 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 373 words, ~1,008 tokens.

Download SKILL.mdSave it as .claude/skills/serpapi-hello-world/SKILL.md (or your agent's skills folder).
name
serpapi-hello-world
description
Run a controlled first Google search through an official SerpAPI client and validate metadata before consuming result sections. Use when proving a new integration end to end. Trigger with "run a SerpAPI smoke test".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit, Bash(python3:*), Bash(npm:*)
compatibility
Designed for Claude Code; a live smoke test requires a valid server-side key and may consume search allowance
argument-hint
[query] [python|javascript]
version
1.6.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, serpapi, google-search, smoke-test, sdk
model
inherit
effort
medium

Overview

Prove authentication, transport, search status, and schema handling with one bounded query and a redacted receipt.

Prerequisites

  • An official SerpAPI client already installed
  • SERPAPI_KEY loaded from an approved server-side secret store
  • A harmless query, expected locale, allowance owner, and live-call approval

Tool Discipline

Use Read, Glob, and Grep to inspect local setup, WebFetch to verify current Google Search parameters, Write or Edit for the smoke-test code and redacted receipt, and Bash(python3:*) or Bash(npm:*) only to run the approved check.

Current Contract

Google Search uses engine=google and query parameter q. JSON responses expose search_metadata.status, a search ID, search parameters, and optional result sections. A successful search may legitimately contain no organic results.

Authentication

Pass the private key from SERPAPI_KEY through the official client. Never interpolate it into source, logs, exceptions, fixtures, screenshots, or receipts.

Instructions

  1. Confirm the query is non-sensitive and set explicit location, hl, and gl values when geographic reproducibility matters.
  2. Check Account API for available searches and hourly throughput without spending allowance.
  3. Preview one request with engine=google, q, and the minimum necessary parameters.
  4. After approval, execute exactly one search with a finite client timeout.
  5. Require search_metadata.status == "Success"; treat missing result sections as optional schema branches.
  6. Extract only the fields required by the caller and preserve the search ID for support correlation.
  7. Record client version, normalized parameters, status, elapsed time, result counts, and search ID with the key and sensitive query data redacted.
Show full SKILL.md (128 more words)Show less

Output

Return the approved request shape, search status, result-section counts, search ID, redacted receipt location, and any schema assumptions that need fixtures.

Error Handling

ConditionResponse
HTTP 400Correct the engine-specific parameters; do not retry unchanged.
HTTP 401 or 403Stop and repair authorization without printing the key.
HTTP 429Inspect Account API before deciding whether to wait or increase allowance.
HTTP 5xx or timeoutRetry a bounded number of times with jitter and preserve the search ID if present.
Success with no organic resultsInspect other documented sections and the engine-specific _state; do not label it an API failure.

Example

python
import os
import serpapi

client = serpapi.Client(api_key=os.environ["SERPAPI_KEY"], timeout=15)
result = client.search({
    "engine": "google",
    "q": "coffee",
    "location": "Austin, Texas, United States",
    "hl": "en",
    "gl": "us",
})
assert result["search_metadata"]["status"] == "Success"
print({
    "search_id": result["search_metadata"]["id"],
    "organic_count": len(result.get("organic_results", [])),
})

Resources

Next Steps

Capture a sanitized response fixture and move subsequent parser work into the local-development workflow.

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

Files

Just SKILL.md in skills/.curated/serpapi-hello-world of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

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Launch Rlmarin-community/marin3.9k—~894Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Serpapi Hello World

What does Serpapi Hello World do?

Run a controlled first Google search through an official SerpAPI client and validate metadata before consuming result sections. Serpapi Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Run a controlled first Google search through an official SerpAPI client and validate metadata before consuming result sections.

When should I use Serpapi Hello World?

Serpapi Hello World fits situations like: proving a new integration end to end; with run a SerpAPI smoke test.

How do I install Serpapi Hello World in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill serpapi-hello-world -a claude-code`. Or copy the skill folder (skills/.curated/serpapi-hello-world in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/serpapi-hello-world in your project. Claude Code loads it when a task matches its description.

How do I install Serpapi Hello World in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill serpapi-hello-world -a codex`. Or copy the skill folder (skills/.curated/serpapi-hello-world in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/serpapi-hello-world in your project. Codex loads it when a task matches its description.

Can I use Serpapi Hello World 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 jeremylongshore/tons-of-skills-marketplace --skill serpapi-hello-world -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/serpapi-hello-world, .gemini/skills/serpapi-hello-world, .github/skills/serpapi-hello-world and .opencode/skills/serpapi-hello-world in your project.

What does Serpapi Hello World need to run?

Going by SKILL.md and its folder, Serpapi Hello World needs credentials named SERPAPI_KEY. Our summary lists: Python 3; A credential in SERPAPI_KEY. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit, Bash(python3:*), Bash(npm:*). Compatibility (from SKILL.md): Designed for Claude Code; a live smoke test requires a valid server-side key and may consume search allowance.

Does Serpapi Hello World access the network?

SKILL.md names 2 domains. As links in the text: serpapi.com and github.com. This is read from the text; nothing was executed.

Is Serpapi Hello World 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 Serpapi Hello World use?

Serpapi Hello World is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Serpapi Hello World use?

About 1k tokens (SKILL.md is roughly 4k 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 Serpapi Hello World?

Skills that share tags, products or a category with Serpapi Hello World: Reproduce Chat States (different-ai/openwork, 24k stars), Dynamo Jira Ticket (DynamoDS/Dynamo, 2k stars), Moav E2E (MotherofallVPNs/MoaV, 449 stars) and Creating A Coral Task (Human-Agent-Society/CORAL, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Serpapi Hello World?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.