apollo-lead-finder

apollo-lead-finder is a skill for Claude Code, Codex from gooseworks-ai/goose-skills. It costs 51 tokens per session (2,008 once invoked), scanned A, original, MIT.

A prospecting tool for searching Apollo’s database for people who match criteria such as job title, seniority, company size, location, and industry.

In plain words
What is it for?
Use it to find matching contacts, selectively enrich the best ones, create Apollo lists, and avoid duplicates using LinkedIn URLs.
Why use it?
It lets you review many possible leads before spending credits to reveal their email addresses or phone numbers.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find matching contacts, selectively enrich the best ones, create Apollo lists, and avoid duplicates using LinkedIn URLs.

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Install with agentmods
npx agentmods add skills/gooseworks-ai/goose-skills/apollo-lead-finder
About the project

Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.

gooseworks-ai/goose-skills · 1,202 stars · on GitHub · gooseworks.ai

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 gooseworks-ai/goose-skills --skill apollo-lead-finder
Clone the repo
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills

Made for: Claude Code, Codex.

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 apollo-lead-finder

README.md
[![agentmods](https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/apollo-lead-finder/github.svg)](https://agentmods.dev/skills/gooseworks-ai/goose-skills/apollo-lead-finder)
Your own site
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/apollo-lead-finder"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/apollo-lead-finder/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 apollo-lead-finder

Your own site · 80×15
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/apollo-lead-finder"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/apollo-lead-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,008 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 174
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 175
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 176
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 177
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 178
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00051 $0.02008
Opus 5 $0.00026 $0.01004
Sonnet 5 $0.00010 $0.00402
Haiku 4.5 $0.00005 $0.00201

Measured 9d ago against content hash 1857fc3f4049, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

apollo-lead-finder 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/apollo_client.py), 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.

skills/lead-generation/capabilities/apollo-lead-finder/SKILL.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apollo Lead Finder

Two-phase Apollo.io prospecting: free People Search for lead discovery, then selective paid enrichment to reveal emails and phone numbers. Creates Apollo lists and contacts.

Key advantage: Apollo People Search is free (no credits consumed). Credits are only spent when enriching contacts to reveal email/phone. This lets you search tens of thousands of leads at zero cost, review results, then selectively enrich only the best matches.

Prerequisites

Apollo API Key

Get your API key from Apollo.io Settings > Integrations > API. Add to .env:

APOLLO_API_KEY=your-api-key-here

That's it — one env var.

Phase 0: Intake

Ask the user these questions to build the Apollo filter config:

ICP Criteria

  1. What job titles are you targeting? (e.g., "VP of Sales", "Head of Growth")
  2. What seniority levels? Options: owner, founder, c_suite, partner, vp, director, manager, senior, entry
  3. Company size (employee range)? Format: "51,200" "201,500" "501,1000" "1001,5000"
  4. Geographic regions? (e.g., "United States", "San Francisco, California")
  5. Industry/keyword tags? (e.g., "SaaS", "Software", "FinTech")
  6. Any titles to exclude? (e.g., "intern", "assistant")
  7. Should we create an Apollo list with these contacts? (default: yes)
  8. How many results do you want? (test: 100, standard: 5,000, full: 50,000)

Map Answers to Config

Build the config JSON with Apollo's filter format:

{
  "client_name": "example-client",
  "search_config_name": "vp-sales-us-midmarket",
  "icp_segment": "sales-leaders",
  "apollo_filters": {
    "person_titles": ["VP of Sales", "Head of Sales", "Director of Sales"],
    "person_seniority": ["vp", "director"],
    "person_locations": ["United States"],
    "organization_num_employees_ranges": ["51,200", "201,500", "501,1000"],
    "q_organization_keyword_tags": ["SaaS", "Software"]
  },
  "enrichment_filters": {
    "exclude_titles_containing": ["intern", "assistant"]
  },
  "apollo_list_name_prefix": "example-sales-leaders",
  "create_apollo_list": true,
  "mode": "standard",
  "max_pages": 50
}

Read the full file on GitHub · 182 lines

Files

What ships with it

2 files 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. 9d ago First seen · 182 lines · 51 tokens per session scan A 1857fc3f4049

Subscribe to this mod's changes

apollo-lead-finder is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 51 tokens to every session and 2,008 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 2026-09-03.

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