disco-like

disco-like is a skill for Claude Code from AlexisMarasigan/coldoutboundskills. It costs 98 tokens per session (1,760 once invoked), scanned A, a copy of disco-like, MIT.

A company-discovery tool that finds businesses resembling known example companies or matching a written ideal-customer description. An ideal customer profile describes the kind of company you want to reach.

In plain words
What is it for?
Use it to find lookalike companies from seed domains, discover companies from a natural-language description, and export results for market or outreach research.
Why use it?
It expands a short list of suitable companies into a larger prospect or target-market list, with options to exclude domains and filter by country.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the coldoutboundskills plugin — 28 skills shipped together

Good fit Use it to find lookalike companies from seed domains, discover companies from a natural-language description, and export results for market or outreach research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alexismarasigan/coldoutboundskills/disco-like
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 AlexisMarasigan/coldoutboundskills --skill disco-like
Clone the repo
git clone --depth 1 https://github.com/AlexisMarasigan/coldoutboundskills

Made for: Claude Code.

Or install coldoutboundskills, the plugin that ships this one along with the rest of its 28 skills.

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 disco-like

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexismarasigan/coldoutboundskills/disco-like"><img src="https://agentmods.dev/badge/skills/alexismarasigan/coldoutboundskills/disco-like.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,760 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 100% copy Near-identical to another mod 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 $0.00098 $0.01760
Opus 5.5 $0.00039 $0.00704
Sonnet 5.5 $0.00020 $0.00352
Haiku 4.5 $0.00010 $0.00176

Measured 2mo ago against content hash 08f979eb1cdf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

disco-like 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/discover.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to disco-like — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/disco-like/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Disco-Like

Lookalike company discovery. Give it 3-10 seed domains you know are a good fit; it returns hundreds of similar companies by domain, industry, and business characteristics. Useful for expanding from a small known-good list to a much bigger TAM without manual research.

When to use

  • You have 3-10 customer domains you love, want "more like these"
  • You want to expand a small client list into a full TAM
  • You have an ICP description but don't want to manually build Prospeo filters
  • Competitive / adjacent-market expansion

When NOT to use

  • You need PEOPLE, not companies (use Prospeo or Blitz after this)
  • Your ICP is extremely narrow or nascent (<5 seed examples exist)
  • Budget is tight — DiscoLike charges per call + per record; see cost section

Two search modes

Mode A — Seed domains (most common)

npx tsx scripts/discover.ts --domains "clay.com,apollo.io,outreach.io" --country US --limit 500 --out lookalikes.csv

DiscoLike finds companies with similar characteristics (industry mix, employee count range, business type, tech stack) to your seeds.

Mode B — Natural-language ICP

npx tsx scripts/discover.ts --text "B2B SaaS companies selling outbound sales software to RevOps teams" --country US --out lookalikes.csv

Uses DiscoLike's text matching. Less precise than seeds, but useful when you don't have named comparables.

Hybrid mode

npx tsx scripts/discover.ts --domains "clay.com" --text "outbound automation" --country US --out lookalikes.csv

Combines both — starts from seeds, expands via text semantics.

Negation (exclude existing customers / competitors)

npx tsx scripts/discover.ts \
  --domains "clay.com,apollo.io" \
  --negation-domains "yourcompany.com,yourbigcustomer.com" \
  --country US \
  --out lookalikes.csv

Always include your own domain + existing customers + known-unfit competitors. Saves enrichment cost downstream.

Inputs

  • DISCOLIKE_API_KEY (env) — from DiscoLike dashboard
  • Either --domains or --text (at least one required)
  • Optional: --negation-domains, --country, --limit, --max-companies

Read the full file on GitHub · 155 lines

Files

What ships with it

1 file 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. 2mo ago First seen · 155 lines · 98 tokens per session scan A 08f979eb1cdf

Subscribe to this mod's changes

disco-like is a skill published in the GitHub repository AlexisMarasigan/coldoutboundskills (5 stars, last pushed 6mo ago), licensed MIT. It adds 98 tokens to every session and 1,760 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to disco-like, differing in 6 lines, and is treated as a copy.

Related

disco-like compared with skills from other repositories

disco-like next to 6 skills from other repositories
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