Apollo Reference ArchitectureSAFE
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
Overview
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
4f83675ca38aOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: apollo-reference-architecture description: 'Implement Apollo.io reference architecture. Use when designing Apollo integrations, establishing patterns, or building production-grade sales intelligence systems. Trigger with phrases like "apollo architecture", "apollo system design", "apollo integration patterns", "apollo best practices architecture". ' allowed-tools: Read, Write, Edit, Bash(gh:*), Bash(curl:*) version: 1.13.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - apollo - apollo-reference compatibility: Designed for Claude Code --- # Apollo Reference Architecture ## Overview Production-ready reference architecture for Apollo.io integrations. Layered design with API client, service layer, background jobs, database models, CRM sync, and deals pipeline — all built around Apollo's REST API with correct endpoints and `x-api-key` authentication. ## Prerequisites - Apollo master API key - Node.js 18+ with TypeScript - PostgreSQL for data layer - Redis for job queues ## Instructions ### Step 1: Architecture Diagram ``` ┌───────────────────────────────────────────────┐ │ API Layer │ Express routes │ POST /api/leads/search GET /api/org/:d │ POST /api/deals ├───────────────────────────────────────────────┤ │ Service Layer │ Business logic │ LeadService EnrichService DealService │ SequenceService ├───────────────────────────────────────────────┤ │ Client Layer │ Apollo API wrapper │ ApolloClient RateLimiter Cache │ CreditTracker ├───────────────────────────────────────────────┤ │ Background Jobs │ BullMQ queues │ EnrichJob SyncJob StageChangeJob │ TaskCreatorJob ├───────────────────────────────────────────────┤ │ Data Layer │ Prisma/TypeORM │ Contact Organization Deal AuditLog │ └───────────────────────────────────────────────┘ ``` ### Step 2: Service Layer ```typescript // src/services/lead-service.ts import { getApolloClient } from '../apollo/client'; import { withRetry } from '../apollo/retry'; import { cachedRequest } from '../apollo/cache'; export class LeadService { private client = getApolloClient(); async searchPeople(params: { domains: string[]; titles?: string[]; seniorities?: string[]; page?: number }) { return cachedRequest('/mixed_people/api_search', () => withRetry(() => this.client.post('/mixed_people/api_search', { q_organization_domains_list: params.domains, person_titles: params.titles, person_seniorities: params.seniorities, page: params.page ?? 1, per_page: 100, })), params, ); } async enrichPerson(email: string) { return withRetry(() => this.client.post('/people/match', { email })); } async enrichOrg(domain: string) { return cachedRequest('/organizations/enrich', () => withRetry(() => this.client.get('/organizations/enrich', { params: { domain } })), { domain }, ); } } ``` ### Step 3: Deals/Opportunities Service Apollo has a full Deals API for tracking revenue pipeline. ```typescript // src/services/deal-service.ts export class DealService { private client = getApolloClient(); async createDeal(params: { name: string; amount: number; ownerId: string; // Apollo user ID accountId?: string; // Apollo account ID contactIds?: string[]; // Apollo contact IDs stageId?: string; // Deal stage ID }) { const { data } = await this.client.post('/opportunities', { name: params.name, amount: params.amount, owner_id: params.ownerId, account_id: params.accountId, contact_ids: params.contactIds, opportunity_stage_id: params.stageId, }); return { dealId: data.opportunity.id, name: data.opportunity.name }; } async listDeals(page: number = 1) { const { data } = await this.client.post('/opportunities/search', { page, per_page: 50 }); return data.opportunities.map((d: any) => ({ id: d.id, name: d.name, amount: d.amount, stage: d.opportunity_stage?.name, owner: d.owner?.name, })); } async getDealStages() { const { data } = await this.client.get('/opportunity_stages'); return data.opportunity_stages.map((s: any) => ({ id: s.id, name: s.name, order: s.display_order })); } async updateDeal(dealId: string, updates: { amount?: number; stageId?: string }) { await this.client.patch(`/opportunities/${dealId}`, { amount: updates.amount, opportunity_stage_id: updates.stageId, }); } } ``` ### Step 4: Background Job Processing ```typescript // src/jobs/enrichment-job.ts import { Queue, Worker, Job } from 'bullmq'; import { LeadService } from '../services/lead-service'; const connection = { host: process.env.REDIS_HOST ?? 'localhost', port: 6379 }; export const enrichmentQueue = new Queue('apollo-enrichment', { connection, defaultJobOptions: { attempts: 3, backoff: { type: 'exponential', delay: 5000 }, removeOnComplete: 1000, }, }); const leadService = new LeadService(); new Worker('apollo-enrichment', async (job: Job) => { switch (job.name) { case 'enrich-person': return leadService.enrichPerson(job.data.email); case 'enrich-org': return leadService.enrichOrg(job.data.domain); case 'bulk-search': { const results: any[] = []; for (const domain of job.data.domains) { const { data } = await leadService.searchPeople({ domains: [domain] }); results.push(...data.people); await job.updateProgress(results.length); } return { total: results.length }; } } }, { connection, concurrency: 3, limiter: { max: 50, duration: 60_000 } }); ``` ### Step 5: Database Model ```typescript // src/models/contact.ts (Prisma schema excerpt) // model Contact { // id
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__apollo-reference-architecture.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 4f83675ca38a | SAFE | B | 89 | first audit |
Questions
What does the Apollo Reference Architecture skill do?
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
Is Apollo Reference Architecture safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Apollo Reference Architecture access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Apollo Reference Architecture work with?
Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.