quickstart

quickstart is a skill for Claude Code from fiber-ai/fiber-ai-plugin. It costs 94 tokens per session (1,443 once invoked), scanned A, original, MIT.

A guided first run for Fiber AI, a service that searches for companies and reveals contact information. It checks the API key, searches the user's industry, and reveals one contact.

In plain words
What is it for?
Use it after installation as a demo or test: check credentials, find relevant companies, and reveal one contact with a verified email.
Why use it?
It provides a quick way to verify that the service is configured and see its basic workflow before using more specific operations.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the fiber plugin — 16 skills, 4 commands, 3 MCP servers shipped together

Good fit Use it after installation as a demo or test: check credentials, find relevant companies, and reveal one contact with a verified email.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fiber-ai/fiber-ai-plugin/quickstart
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 fiber-ai/fiber-ai-plugin --skill quickstart
Clone the repo
git clone --depth 1 https://github.com/fiber-ai/fiber-ai-plugin

Made for: Claude Code.

Or install fiber, the plugin that ships this one along with the rest of its 16 skills, 4 commands, 3 MCP servers.

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 quickstart

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/quickstart"><img src="https://agentmods.dev/badge/skills/fiber-ai/fiber-ai-plugin/quickstart.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,443 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.
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 $0.00094 $0.01443
Opus 5.5 $0.00038 $0.00577
Sonnet 5.5 $0.00019 $0.00289
Haiku 4.5 $0.00009 $0.00144

Measured 2mo ago against content hash 9764cc219fc0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quickstart 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.

skills/quickstart/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fiber AI: Quickstart

Prove Fiber's value in under 60 seconds. This skill chains three operations into a single guided flow: verify credentials, search for relevant companies, and reveal one real contact with verified email. Designed for the moment right after installation when the user is deciding whether to keep using Fiber.

When to use

  • User just installed the Fiber plugin and wants to see it work
  • User says "quickstart", "get started", "demo", "try Fiber", "show me what Fiber can do"
  • User seems uncertain about what Fiber does or how to use it
  • User has not yet run any Fiber operation in this session

Do not use when

  • User already knows what they want (a specific search, enrichment, or audience) - route to the relevant skill directly
  • User wants to set up API key only without running anything - use /fiber:setup
  • User wants a full benchmark or data-quality test - use /fiber:benchmark-vs-competitor

Happy path

Step 1: verify credentials (5 seconds)

  1. Check if FIBER_API_KEY is set in the environment.
  2. If not set, tell the user: "Set your API key first: export FIBER_API_KEY=sk_live_... (get one free at https://fiber.ai/app/api)." Stop here until the key is set.
  3. Call getOrgCredits to verify the key works. Show: "Connected. You have N credits available."

Step 2: find relevant companies (15 seconds)

  1. Ask ONE question: "What industry or type of company are you interested in?" If the user provided an argument (e.g. /fiber:quickstart fintech), skip the question and use that.
  2. Call companySearch with a tight filter based on the user's answer. Set pageSize: 5.
  3. Display the 5 results as a compact table: company name, domain, industry, headcount, location. Example:
Found 5 companies matching "fintech, Series B+":

| Company       | Domain          | Industry  | Headcount | Location    |
| ------------- | --------------- | --------- | --------- | ----------- |
| Acme Pay      | acmepay.com     | Fintech   | 200       | San Francisco |
| ...           | ...             | ...       | ...       | ...         |

Read the full file on GitHub · 102 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. 2mo ago First seen · 102 lines · 94 tokens per session scan A 9764cc219fc0

Subscribe to this mod's changes

quickstart is a skill published in the GitHub repository fiber-ai/fiber-ai-plugin (2 stars, last pushed 18d ago), licensed MIT. It adds 94 tokens to every session and 1,443 once invoked, about $0.0004 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 2026-08-31.

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