apollo-enrichment

apollo-enrichment is a skill for Claude Code, Codex from akiotanaka847/qaio-desktop. It costs 78 tokens per session (1,832 once invoked), scanned A, original, MIT.

A contact-enrichment workflow that uses Apollo to find verified email addresses for leads stored in Airtable, an online database. It writes the email, company, job title, and location back to Airtable and creates contacts in Apollo.

In plain words
What is it for?
It helps prepare LinkedIn-derived or other lead lists for email outreach by adding contact details and placing the leads in Apollo's contact system.
Why use it?
It removes the need to look up each lead manually and keeps the new contact details with the original lead records. It is designed for a list that already contains profile links.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit It helps prepare LinkedIn-derived or other lead lists for email outreach by adding contact details and placing the leads in Apollo's contact system.

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Install with agentmods
npx agentmods add skills/akiotanaka847/qaio-desktop/apollo-enrichment
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 akiotanaka847/qaio-desktop --skill apollo-enrichment
Clone the repo
git clone --depth 1 https://github.com/akiotanaka847/qaio-desktop

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-enrichment

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/apollo-enrichment"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/apollo-enrichment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,832 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 $0.00078 $0.01832
Opus 5 $0.00039 $0.00916
Sonnet 5 $0.00016 $0.00366
Haiku 4.5 $0.00008 $0.00183

Measured 6d ago against content hash 94221a4e4cf8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

apollo-enrichment 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 6d 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.

store/agents/outbound/.agents/skills/apollo-enrichment/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apollo Enrichment

Take a list of leads in an Airtable table and find verified emails for as many as possible via Apollo's bulk match endpoint. Updates the Airtable rows in place with email + company + title + location, and creates Apollo contacts under a named label so the leads land in your Apollo CRM workflows. Match rate is highly audience-dependent - expect 50-70% on US founder / operator audiences, lower on consumer or non-US audiences.

When to use

  • "Enrich these leads with Apollo: ".
  • "Find emails for the rows in this table".
  • Phase 3 of either LinkedIn pipeline (called by the orchestrator).
  • You have an Airtable table populated with Profile URLs and want emails attached.

When NOT to use

  • The leads aren't in Airtable yet - load them first with airtable-lead-loader.
  • You only want to read Apollo data, not modify Airtable - this skill writes back to Airtable as part of its contract; if you only need a one-shot Apollo lookup, do it manually.

Connections I need

  • Airtable (database) - Required. I read the rows, then write the enrichment fields back.
  • Apollo (enrichment) - Required. I use the apollo_people_bulk_match endpoint and the apollo_contacts_create endpoint via Composio.

If either is missing I stop and ask you to connect it.

Information I need

  • The Airtable base ID + table ID - Required. If called from an orchestrator, both are passed in. If called standalone, I list bases and tables and ask which one if there's any ambiguity.
  • An Apollo contact label - Optional. Defaults to LinkedIn {sourceType} - {sourceAuthor} Post, derived from the table's Source Type and Source Author fields (every row in a given table has the same source). Override per call.

Steps

  1. Pull all records. Page through the Airtable table 100 records at a time until done. Collect rows where Email is empty (don't re-enrich rows that already have an email). Stash the source Profile URL, Full Name, Headline, and Airtable record_id for each.

Read the full file on GitHub · 111 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. 6d ago First seen · 111 lines · 78 tokens per session scan A 94221a4e4cf8

Subscribe to this mod's changes

apollo-enrichment is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 78 tokens to every session and 1,832 once invoked, about $0.0004 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 2026-09-05.

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