Apollo Cost TuningSAFE
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-cost-tuning description: 'Optimize Apollo.io costs and credit usage. Use when managing Apollo credits, reducing API costs, or optimizing subscription usage. Trigger with phrases like "apollo cost", "apollo credits", "apollo billing", "reduce apollo costs", "apollo usage". ' allowed-tools: Read, Write, Edit, Bash(gh:*), Bash(curl:*) version: 1.13.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - apollo - api - cost-optimization compatibility: Designed for Claude Code --- # Apollo Cost Tuning ## Overview Optimize Apollo.io API costs through credit-aware enrichment. Key cost model: **search is free, enrichment costs credits.** Apollo charges per unique contact/company lookup. Credits do not roll over. Strategies: deduplicate before enriching, score leads before spending credits, and track daily budget. ## Prerequisites - Valid Apollo API key - Node.js 18+ ## Instructions ### Step 1: Understand Apollo's Credit Model ``` Action | Credits | Notes ----------------------------+---------+----------------------------------- People Search | 0 | /mixed_people/api_search (free!) Organization Search | 0 | /mixed_companies/search (free!) People Enrichment (single) | 1 | /people/match People Enrichment (bulk) | 1/match | /people/bulk_match (up to 10/call) Organization Enrichment | 1 | /organizations/enrich Reveal Personal Email | +1 | reveal_personal_emails param Reveal Phone Number | +1 | reveal_phone_number param ``` Plans (approximate): - **Free**: 50 credits/month - **Basic**: 1,200 credits/month (~$0.04/credit) - **Professional**: 6,000 credits/month - **Organization**: 12,000+ credits/month ### Step 2: Track Credit Usage ```typescript // src/cost/credit-tracker.ts class CreditTracker { private daily: Map<string, number> = new Map(); private readonly budget: number; constructor(dailyBudget: number = 200) { this.budget = dailyBudget; } record(count: number = 1) { const today = new Date().toISOString().split('T')[0]; this.daily.set(today, (this.daily.get(today) ?? 0) + count); } todayUsage(): number { const today = new Date().toISOString().split('T')[0]; return this.daily.get(today) ?? 0; } isOverBudget(): boolean { return this.todayUsage() >= this.budget; } report(): string { const used = this.todayUsage(); return `${used}/${this.budget} credits (${Math.round((used / this.budget) * 100)}%)`; } } export const creditTracker = new CreditTracker( parseInt(process.env.APOLLO_DAILY_CREDIT_BUDGET ?? '200', 10), ); ``` ### Step 3: Deduplicate Before Enriching ```typescript // src/cost/dedup.ts import { LRUCache } from 'lru-cache'; // Track enriched contacts to avoid paying twice const enrichedCache = new LRUCache<string, boolean>({ max: 50_000, ttl: 30 * 24 * 60 * 60 * 1000, // 30 days }); export function enrichmentKey(params: { email?: string; linkedin_url?: string; first_name?: string; last_name?: string; organization_domain?: string }): string { // Prefer email as unique key, fall back to LinkedIn, then name+domain return params.email ?? params.linkedin_url ?? `${params.first_name}:${params.last_name}:${params.organization_domain}`; } export function isAlreadyEnriched(key: string): boolean { return enrichedCache.has(key); } export function markEnriched(key: string) { enrichedCache.set(key, true); } ``` ### Step 4: Score Leads Before Enriching Only spend credits on leads worth contacting. ```typescript // src/cost/lead-scorer.ts interface LeadSignals { seniority?: string; title?: string; companyEmployees?: number; hasEmail: boolean; hasPhone: boolean; hasLinkedIn: boolean; } export function shouldEnrich(signals: LeadSignals, threshold: number = 40): boolean { let score = 0; // Seniority — only enrich decision-makers const topSeniority = ['c_suite', 'vp', 'founder', 'owner']; if (topSeniority.includes(signals.seniority ?? '')) score += 40; else if (signals.seniority === 'director') score += 30; else if (signals.seniority === 'manager') score += 15; else score += 5; // Company size — mid-market is highest value if (signals.companyEmployees && signals.companyEmployees >= 50 && signals.companyEmployees <= 1000) score += 25; else if (signals.companyEmployees && signals.companyEmployees > 1000) score += 15; // Missing data — worth enriching if we need the contact info if (!signals.hasEmail) score += 20; if (!signals.hasPhone) score += 10; return score >= threshold; } ``` ### Step 5: Budget-Aware API Client ```typescript // src/cost/budget-client.ts import axios from 'axios'; import { creditTracker } from './credit-tracker'; import { isAlreadyEnriched, markEnriched, enrichmentKey } from './dedup'; const client = axios.create({ baseURL: 'https://api.apollo.io/api/v1', headers: { 'Content-Type': 'application/json', 'x-api-key': process.env.APOLLO_API_KEY! }, }); // Credit-consuming endpoints const CREDIT_ENDPOINTS = ['/people/match', '/people/bulk_match', '/organizations/enrich']; // Block requests when over budget client.interceptors.request.use((config) => { const isCreditEndpoint = CREDIT_ENDPOINTS.some((ep) => config.url?.includes(ep)); if (isCreditEndpoint && creditTracker.isOverBudget()) { throw new Error(`Daily credit budget exceeded (${creditTracker.report()})`); } return config; }); // Track credit usage on success client.interceptors.response.use((response) => { const isCreditEndpoint = CREDIT_ENDPOINTS.some((ep) => response.config.url?.includes(ep)); if (isCreditEndpoint) { // Bulk match: count matches, not calls const matchCount = response.data?.matches?.length ?? 1; creditTracker.record(matchCount); // Mark as enriched for dedup const email = response.data?.person?.email; if (email) markEnriched(email); } return response; }); export { c
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-cost-tuning.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 Cost Tuning 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 Cost Tuning 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 Cost Tuning access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Apollo Cost Tuning 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.