apollo

A sales platform for finding potential customers, storing contact details, and managing outreach. It exposes Apollo data such as accounts, contacts, email campaigns, and opportunities.

In plain words
What is it for?
Use it to read or update company records, people, email campaigns, and sales opportunities in Apollo.
Why use it?
It reduces the need to switch between sales tools or handle Apollo data manually. It can help keep prospect and deal information in one workflow.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/withoneai/one-agent-plugin/apollo
Any agent
npx skills add withoneai/one-agent-plugin --skill apollo
Clone the repo
git clone --depth 1 https://github.com/withoneai/one-agent-plugin

Made for: Claude Code, Codex.

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,722 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 75% 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 $0.00097 $0.03722
Opus 5 $0.00048 $0.01861
Sonnet 5 $0.00019 $0.00744
Haiku 4.5 $0.00010 $0.00372

Measured yesterday against content hash b210c385c557, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

apollo 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 yesterday.

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

75% identical to 2-chat — 249 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.

platforms/one-apollo/skills/apollo/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apollo through One

Apollo is a sales intelligence and engagement platform that helps teams find and connect with prospects. It provides enriched contact data and automation tools to streamline outbound workflows and close more deals.

One exposes Apollo through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.

How to run an action

  1. Find the action in the table below, or call search_one_platform_actions with platform apollo if it is not listed.
  2. Call get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
  3. Call execute_one_action with parameters copied from that knowledge.

Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.

Before you start

Call list_one_integrations once and confirm Apollo is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.

Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.

Before a write

Creates, updates, deletes and sends land on a real Apollo account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.

Actions

Accounts

Action Method Path Action id
View an Account GET /accounts/{{id}} conn_mod_def::GJz18DDnE6w::RJhEmf4AT6mmLBVttv-7FA
Bulk Create Accounts POST /api/v1/accounts/bulk_create conn_mod_def::GJz163LdMJU::hWDUX0fCQWCc5qQln6aQ0w
Bulk Update Accounts POST /api/v1/accounts/bulk_update conn_mod_def::GJz16-Qfx1w::Et7L5sHASWaCMHF7t-u22w
Create an Account POST /api/v1/accounts conn_mod_def::GJz17HSIaaw::BxpcIhBPQCqc82bYFpJLPg
Search for Accounts POST /api/v1/accounts/search conn_mod_def::GJz17VqALZc::15ONRvevRLmLQmJzEwHJCw
Update Account Owner for Multiple Accounts POST /api/v1/accounts/update_owners conn_mod_def::GJz17dbsUCc::NAEtaQ2FS5KOfbXQiAIoFg
Update Account Stage for Multiple Accounts POST /{{path}} conn_mod_def::GJz17kS7cXI::rQlesMqqRm23fcXDB6t5sg
Update an Account PATCH /accounts/{{accountId}} conn_mod_def::GJz17uMfKtU::H2egrgHsTZ2EeOtP8sVw1A

Read the full file on GitHub · 198 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. yesterday First seen · 198 lines · 0 tokens per session scan A b210c385c557

Subscribe to this mod's changes

apollo is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 12d ago), licensed MIT. It adds 97 tokens to every session and 3,722 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 75% identical to 2-chat, differing in 249 lines, and is treated as a copy.

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