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find-similar-companies

find-similar-companies is a skill for Claude Code from fiber-ai/fiber-ai-plugin. It costs 90 tokens per session (1,784 once invoked), scanned A, original, MIT.

A company-search tool that finds businesses resembling one or more chosen example companies. It uses details such as industry, employee count, and keywords to rank possible matches.

In plain words
What is it for?
It helps expand account-based marketing lists, find competitors, and identify prospects that look like successful customer accounts.
Why use it?
It removes the need to build a similar-company list by manually comparing each prospect with an existing customer or competitor.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the fiber plugin — 16 skills, 4 commands, 7 agents, 3 MCP servers shipped together

not rated 2repo 2mo ago A scan 90 tokens original MIT

Good fit It helps expand account-based marketing lists, find competitors, and identify prospects that look like successful customer accounts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fiber-ai/fiber-ai-plugin/find-similar-companies
View source ↗ fiber-ai/fiber-ai-plugin
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 find-similar-companies
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, 7 agents, 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 find-similar-companies

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/fiber-ai/fiber-ai-plugin/find-similar-companies"><img src="https://agentmods.dev/badge/skills/fiber-ai/fiber-ai-plugin/find-similar-companies.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,784 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 $0.00090 $0.01784
Opus 5 $0.00045 $0.00892
Sonnet 5 $0.00018 $0.00357
Haiku 4.5 $0.00009 $0.00178

Measured 12d ago against content hash 7dd7babe34e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

find-similar-companies 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 12d 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/find-similar-companies/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fiber AI: Find Similar Companies

Expand one or more seed accounts into a ranked list of lookalike companies. Resolve the seed to a canonical record, extract its signals (industry, headcount, keywords), then use those signals as filters for a broader search.

When to use

  • User names a specific company and asks for competitors, lookalikes, or similar firms
  • User is building an ABM list seeded from a star customer
  • User says "find companies like ...", "competitors of ...", "similar to ...", "lookalike accounts", "seed-based company search"
  • User wants to expand a customer list into a prospect list using existing accounts as templates

Do not use when

  • User only needs a filter-based search without a seed account - use /fiber:search
  • User wants to enrich a single known company with contact data - use /fiber:enrich
  • User wants to build a persistent, exportable list of 500+ companies - use /fiber:audience
  • User asked for code, not chat results - use /fiber:sdk-ts or /fiber:sdk-py

Happy path

  1. Resolve each seed to a canonical company record via kitchenSinkCompany. Pass whatever the user gave (domain, LinkedIn URL, or name) and read back industries, headcount band, keywords, and region.
  2. Confirm the extracted signals with the user in one line (e.g. "seed resolves to: productivity SaaS, 501-1000 employees, remote-first - expand on these?"). Let them trim or add filters.
  3. Build filters and call companySearch with the signals the user confirmed. If the user only gave a freeform description ("in US, Series A+, fintech"), hand the whole prompt to the Core MCP search_endpoints meta-tool - it will pick the right route - rather than hand-authoring a natural-language query endpoint.
  4. Before paginating, call companyCount with the same filters and surface the total ("2,314 companies match - want page 1 of 47?"). Never silently page past page 1.
  5. For the shortlist the user picks (<= 5 companies), optionally call companyLiveEnrich per row to pull the freshest LinkedIn record (funding, recent headcount, tech stack hints).

Read the full file on GitHub · 125 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. 12d ago First seen · 125 lines · 90 tokens per session scan A 7dd7babe34e0

Subscribe to this mod's changes

find-similar-companies is a skill published in the GitHub repository fiber-ai/fiber-ai-plugin (2 stars, last pushed 2mo ago), licensed MIT. It adds 90 tokens to every session and 1,784 once invoked, about $0.0005 per session on Opus 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.

Marketing and SEO
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