lead-qualification

lead-qualification is a skill for Claude Code from cognyai/claude-code-marketing-skills. It costs 12 tokens per session (560 once invoked), scanned A, original, no licence file.

A research process for finding business leads and checking whether they match an ideal customer profile, or ICP—the description of the kind of customer a company wants.

In plain words
What is it for?
Use it to research potential customers and assess their fit against defined business criteria.
Why use it?
It helps separate promising prospects from businesses that are unlikely to be a good fit, saving research and sales time.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to research potential customers and assess their fit against defined business criteria.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cognyai/claude-code-marketing-skills/lead-qualification
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 cognyai/claude-code-marketing-skills --skill lead-qualification
Clone the repo
git clone --depth 1 https://github.com/cognyai/claude-code-marketing-skills

Made for: Claude Code.

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 lead-qualification

README.md
[![agentmods](https://agentmods.dev/badge/skills/cognyai/claude-code-marketing-skills/lead-qualification/github.svg)](https://agentmods.dev/skills/cognyai/claude-code-marketing-skills/lead-qualification)
Your own site
<a href="https://agentmods.dev/skills/cognyai/claude-code-marketing-skills/lead-qualification"><img src="https://agentmods.dev/badge/skills/cognyai/claude-code-marketing-skills/lead-qualification/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 lead-qualification

Your own site · 80×15
<a href="https://agentmods.dev/skills/cognyai/claude-code-marketing-skills/lead-qualification"><img src="https://agentmods.dev/badge/skills/cognyai/claude-code-marketing-skills/lead-qualification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 560 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 unknown 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 $0.00012 $0.00560
Opus 5 $0.00006 $0.00280
Sonnet 5 $0.00002 $0.00112
Haiku 4.5 $0.00001 $0.00056

Measured 10d ago against content hash 5ff2f2cf6593, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

lead-qualification 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 10d 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/lead-qualification/SKILL.md · 72 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 10d ago First seen · 72 lines · 12 tokens per session scan A 5ff2f2cf6593

Subscribe to this mod's changes

lead-qualification is a skill published in the GitHub repository cognyai/claude-code-marketing-skills (100 stars, last pushed 2mo ago), with no licence file. It adds 12 tokens to every session and 560 once invoked, about $0.0001 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 2026-08-30.

Related

Other skills, from other repositories

extract-source-sample

Given the path to a finished content-goose ad-run folder, extract everything that defines that ad — recipe shot list, VO script, characters, voices, world, atom-skills, master mp4 — and emit a source-sample.json in the exact shape the upload-ad-sample skill writes to the Goose Ads library. Also links every character…

gooseworks-ai/goose-skills · 160 tokens

comprehensive-enrichment

Enrich any person or company from any identifier — email, name, LinkedIn URL, domain, company name, Twitter/X handle. Use when asked to enrich, look up, or research a lead, contact, person, or company.

gooseworks-ai/goose-skills · 53 tokens

google-search-ads-builder

End-to-end Google Search Ads campaign builder. Performs deep keyword research (competitor SEO, review language mining, Reddit/HN community terminology, site audit), builds keyword architecture with funnel mapping and intent classification, creates ad group structure, generates headline/description variants, builds…

gooseworks-ai/goose-skills · 79 tokens

create-chatgpt-mockup

Render pixel-accurate ChatGPT mobile (iOS) screen mockups in light mode from a thread JSON. Supports user text bubbles, user image attachments, assistant markdown prose, citation chips, the OpenAI spiral logo, the Apps-SDK GPT chip in the composer, and three header styles (model-tag, plain title, "Get Plus"). Fixed…

gooseworks-ai/goose-skills · 90 tokens

inbound-lead-enrichment

Fills in missing data for inbound leads — researches the company, identifies the person's role and seniority, finds other stakeholders at the company, checks for existing CRM relationships, and updates the lead record. Produces enriched lead data ready for qualification or outreach. Tool-agnostic.

gooseworks-ai/goose-skills · 63 tokens

inbound-lead-qualification

Qualifies inbound leads against full ICP criteria — company size, industry, use case fit, role/seniority of the person. Checks CRM and existing customer base for duplicates and existing relationships. Outputs a scored CSV with qualification status, reasoning, and pipeline overlap flags. Tool-agnostic — works with any…

gooseworks-ai/goose-skills · 77 tokens