Apollo Sdk PatternsSAFE
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-sdk-patterns description: 'Apply production-ready Apollo.io SDK patterns. Use when implementing Apollo integrations, refactoring API usage, or establishing team coding standards. Trigger with phrases like "apollo sdk patterns", "apollo best practices", "apollo code patterns", "idiomatic apollo", "apollo client wrapper". ' allowed-tools: Read, Write, Edit version: 1.13.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - apollo - api compatibility: Designed for Claude Code --- # Apollo SDK Patterns ## Overview Production-ready patterns for Apollo.io API integration. Apollo has no official SDK — these patterns wrap the REST API (`https://api.apollo.io/api/v1/`) with type safety, retry logic, pagination, and bulk operations. All requests use the `x-api-key` header. ## Prerequisites - Completed `apollo-install-auth` setup - TypeScript 5+ with strict mode ## Instructions ### Step 1: Type-Safe Client with Zod Validation ```typescript // src/apollo/client.ts import axios, { AxiosInstance } from 'axios'; import { z } from 'zod'; const ConfigSchema = z.object({ apiKey: z.string().min(10, 'API key too short'), baseURL: z.string().url().default('https://api.apollo.io/api/v1'), timeout: z.number().default(30_000), }); let instance: AxiosInstance | null = null; export function getApolloClient(config?: Partial<z.input<typeof ConfigSchema>>): AxiosInstance { if (instance) return instance; const parsed = ConfigSchema.parse({ apiKey: config?.apiKey ?? process.env.APOLLO_API_KEY, ...config, }); instance = axios.create({ baseURL: parsed.baseURL, timeout: parsed.timeout, headers: { 'Content-Type': 'application/json', 'x-api-key': parsed.apiKey, }, }); return instance; } // Reset for testing export function resetClient() { instance = null; } ``` ### Step 2: Custom Error Classes ```typescript // src/apollo/errors.ts import { AxiosError } from 'axios'; export class ApolloApiError extends Error { constructor( message: string, public statusCode: number, public endpoint: string, public retryable: boolean, public requestId?: string, ) { super(message); this.name = 'ApolloApiError'; } static fromAxios(err: AxiosError): ApolloApiError { const status = err.response?.status ?? 0; const body = err.response?.data as any; return new ApolloApiError( body?.message ?? err.message, status, err.config?.url ?? 'unknown', [429, 500, 502, 503, 504].includes(status), err.response?.headers?.['x-request-id'], ); } } export class ApolloRateLimitError extends ApolloApiError { constructor( public retryAfterMs: number, endpoint: string, ) { super(`Rate limited on ${endpoint}`, 429, endpoint, true); this.name = 'ApolloRateLimitError'; } } ``` ### Step 3: Retry with Exponential Backoff ```typescript // src/apollo/retry.ts import { ApolloApiError } from './errors'; export async function withRetry<T>( fn: () => Promise<T>, opts: { maxRetries?: number; baseMs?: number; maxMs?: number } = {}, ): Promise<T> { const { maxRetries = 3, baseMs = 1000, maxMs = 30_000 } = opts; for (let attempt = 0; attempt <= maxRetries; attempt++) { try { return await fn(); } catch (err) { const isRetryable = err instanceof ApolloApiError && err.retryable; if (!isRetryable || attempt === maxRetries) throw err; const jitter = Math.random() * 500; const delay = Math.min(baseMs * 2 ** attempt + jitter, maxMs); await new Promise((r) => setTimeout(r, delay)); } } throw new Error('Unreachable'); } ``` ### Step 4: Async Pagination Iterator Apollo endpoints return `pagination.total_entries` and accept `page`/`per_page`. The People Search API limits to 500 pages (50,000 records). ```typescript // src/apollo/paginator.ts import { getApolloClient } from './client'; import { withRetry } from './retry'; export async function* paginate<T>( endpoint: string, body: Record<string, unknown>, itemKey: string = 'people', perPage: number = 100, maxPages: number = 500, ): AsyncGenerator<T[], void, undefined> { const client = getApolloClient(); let page = 1; let totalPages = Infinity; while (page <= Math.min(totalPages, maxPages)) { const { data } = await withRetry(() => client.post(endpoint, { ...body, page, per_page: perPage }), ); const items: T[] = data[itemKey] ?? []; totalPages = data.pagination?.total_pages ?? 1; if (items.length === 0) break; yield items; page++; } } // Usage: // for await (const batch of paginate('/mixed_people/api_search', { // q_organization_domains_list: ['stripe.com'], // })) { // await processBatch(batch); // } ``` ### Step 5: Bulk Enrichment with Rate Awareness Apollo's Bulk People Enrichment endpoint handles up to 10 records per call. ```typescript // src/apollo/bulk-enrich.ts import { getApolloClient } from './client'; import { withRetry } from './retry'; interface EnrichmentDetail { email?: string; linkedin_url?: string; first_name?: string; last_name?: string; organization_domain?: string; } export async function bulkEnrichPeople( details: EnrichmentDetail[], opts: { revealPersonalEmails?: boolean; revealPhoneNumber?: boolean } = {}, ): Promise<any[]> { const client = getApolloClient(); const results: any[] = []; // Apollo bulk endpoint accepts max 10 at a time for (let i = 0; i < details.length; i += 10) { const batch = details.slice(i, i + 10); const { data } = await withRetry(() => client.post('/people/bulk_match', { details: batch, reveal_personal_emails: opts.revealPersonalEmails ?? false, reveal_phone_number: opts.revealPhoneNumber ?? false, }), ); results.push(...(data.matches ?? [])); // Brief pause between batches to respect rate limits if (i + 10 < details.length) { await new Prom
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-sdk-patterns.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 Sdk Patterns 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 Sdk Patterns 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 Sdk Patterns access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Apollo Sdk Patterns 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.