A lead-enrichment tool for turning a person’s name, company, LinkedIn profile, or email into a contact card with contact, company, and sales-fit details.

Use it to enrich a lead, find work contact details, review company information, judge fit for MSApps, and identify possible next actions.

It avoids manually gathering a prospect’s contact information, role, company background, and relevance before outreach.

enrich-lead — Skill for Claude Code by MSApps-Mobile

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 MSApps-Mobile/claude-plugins --skill enrich-lead

Clone the repo

git clone --depth 1 https://github.com/MSApps-Mobile/claude-plugins

Made for: Claude Code.

Or install apollo, the plugin that ships this one along with the rest of its 3 skills, 3 agents.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/enrich-lead/github.svg)](https://agentmods.dev/skills/msapps-mobile/claude-plugins/enrich-lead)

Your own site

<a href="https://agentmods.dev/skills/msapps-mobile/claude-plugins/enrich-lead"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/enrich-lead/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/msapps-mobile/claude-plugins/enrich-lead"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/enrich-lead.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,316 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.

Model	Per session	Once invoked
Fable 5.1	$0.00050	$0.01316
Opus 5	$0.00025	$0.00658
Sonnet 5	$0.00010	$0.00263
Haiku 4.5	$0.00005	$0.00132

Measured 8d ago against content hash 50d4d33ec31c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

enrich-lead 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 8d 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.

plugins/apollo/skills/enrich-lead/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Enrich Lead

Turn any identifier into a full contact dossier with MSApps relevance scoring. The user provides identifying info via "$ARGUMENTS".

About MSApps (Context for Relevance Assessment)

MSApps is a boutique Israeli full-stack & mobile development company (est. 2010, ~40 team, 100% Israeli). Services: mobile apps, web apps, IoT, AI integration, outsourcing & team augmentation. Key verticals: automotive, fintech, healthtech, retail, cybersecurity, proptech, enterprise.

Notable clients: Phoenix, Union Motors (Toyota/Lexus/Geely/Zeekr), Assuta, Fox Group (Dream Card), Cynet, Riskified, Theranica, Isracard, Wolf Guard, AppCharge, AiOmed, Viventium.

Examples

/apollo:enrich-lead Orr Danon at Hailo
/apollo:enrich-lead https://www.linkedin.com/in/someone
/apollo:enrich-lead CEO of Wiz
/apollo:enrich-lead Ronni Zehavi, HiBob
/apollo:enrich-lead [email protected]

Step 1 — Parse Input

From "$ARGUMENTS", extract every identifier available:

First name, last name
Company name or domain
LinkedIn URL
Email address
Job title (use as a matching hint)

If the input is ambiguous (e.g. just "CEO of Figma"), first use mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with relevant title and domain filters to identify the person, then proceed to enrichment.

Step 2 — Enrich the Person

Credit warning: Tell the user enrichment consumes 1 Apollo credit before calling.

Use mcp__claude_ai_Apollo_MCP__apollo_people_match with all available identifiers:

first_name, last_name if name is known
domain or organization_name if company is known
linkedin_url if LinkedIn is provided
email if email is provided
Set reveal_personal_emails to true

If the match fails, try mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with looser filters and present the top 3 candidates. Ask the user to pick one, then re-enrich.

Step 3 — Enrich Their Company

Use mcp__claude_ai_Apollo_MCP__apollo_organizations_enrich with the person's company domain to pull firmographic context.

Read the full file on GitHub · 109 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.

8d ago First seen · 109 lines · 50 tokens per session scan A 50d4d33ec31c

Subscribe to this mod's changes

enrich-lead is a skill published in the GitHub repository MSApps-Mobile/claude-plugins (9 stars, last pushed 13d ago), licensed MIT. It adds 50 tokens to every session and 1,316 once invoked, about $0.0003 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.

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