Apollo ObservabilitySAFE
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-observability description: 'Set up Apollo.io monitoring and observability. Use when implementing logging, metrics, tracing, and alerting for Apollo integrations. Trigger with phrases like "apollo monitoring", "apollo metrics", "apollo observability", "apollo logging", "apollo alerts". ' allowed-tools: Read, Write, Edit, Bash(kubectl:*), Bash(curl:*) version: 1.13.0 license: MIT author: Jeremy Longshore <[email protected]> tags: - saas - apollo - monitoring - observability - logging compatibility: Designed for Claude Code --- # Apollo Observability ## Overview Comprehensive observability for Apollo.io integrations: Prometheus metrics (request count, latency, rate limits, credits), structured logging with PII redaction, OpenTelemetry tracing, and alerting rules. Tracks the metrics that matter: credit burn rate, enrichment success rate, and API health. ## Prerequisites - Valid Apollo API key - Node.js 18+ ## Instructions ### Step 1: Prometheus Metrics ```typescript // src/observability/metrics.ts import { Counter, Histogram, Gauge, Registry } from 'prom-client'; export const registry = new Registry(); export const requestsTotal = new Counter({ name: 'apollo_requests_total', help: 'Total Apollo API requests by endpoint and status', labelNames: ['endpoint', 'method', 'status'] as const, registers: [registry], }); export const requestDuration = new Histogram({ name: 'apollo_request_duration_seconds', help: 'Apollo API request duration', labelNames: ['endpoint'] as const, buckets: [0.1, 0.25, 0.5, 1, 2.5, 5, 10], registers: [registry], }); export const rateLimitRemaining = new Gauge({ name: 'apollo_rate_limit_remaining', help: 'Remaining requests in current rate limit window', labelNames: ['endpoint'] as const, registers: [registry], }); export const creditsUsed = new Counter({ name: 'apollo_credits_used_total', help: 'Total Apollo enrichment credits consumed', labelNames: ['type'] as const, // 'person', 'organization', 'bulk' registers: [registry], }); export const enrichmentSuccessRate = new Gauge({ name: 'apollo_enrichment_success_rate', help: 'Percentage of enrichment calls that found a match', registers: [registry], }); ``` ### Step 2: Axios Interceptors for Auto-Collection ```typescript // src/observability/instrument.ts import { AxiosInstance } from 'axios'; import { requestsTotal, requestDuration, rateLimitRemaining, creditsUsed } from './metrics'; const CREDIT_ENDPOINTS = ['/people/match', '/people/bulk_match', '/organizations/enrich']; export function instrumentClient(client: AxiosInstance) { client.interceptors.request.use((config) => { (config as any)._startTime = Date.now(); return config; }); client.interceptors.response.use( (response) => { const endpoint = response.config.url ?? 'unknown'; const duration = (Date.now() - (response.config as any)._startTime) / 1000; requestsTotal.inc({ endpoint, method: response.config.method?.toUpperCase() ?? 'GET', status: String(response.status) }); requestDuration.observe({ endpoint }, duration); // Rate limit tracking const remaining = response.headers['x-rate-limit-remaining']; if (remaining) rateLimitRemaining.set({ endpoint }, parseInt(remaining, 10)); // Credit tracking if (CREDIT_ENDPOINTS.some((ep) => endpoint.includes(ep))) { const type = endpoint.includes('bulk') ? 'bulk' : endpoint.includes('organization') ? 'organization' : 'person'; const count = response.data?.matches?.length ?? 1; creditsUsed.inc({ type }, count); } return response; }, (err) => { requestsTotal.inc({ endpoint: err.config?.url ?? 'unknown', method: err.config?.method?.toUpperCase() ?? 'GET', status: String(err.response?.status ?? 0), }); return Promise.reject(err); }, ); } ``` ### Step 3: Structured Logging with PII Redaction ```typescript // src/observability/logger.ts import pino from 'pino'; export const logger = pino({ level: process.env.LOG_LEVEL ?? 'info', redact: { paths: ['*.email', '*.phone_numbers', '*.linkedin_url', 'headers.x-api-key'], censor: '[REDACTED]', }, formatters: { level: (label) => ({ level: label }) }, transport: process.env.NODE_ENV !== 'production' ? { target: 'pino-pretty' } : undefined, }); export const apolloLog = logger.child({ service: 'apollo' }); // Usage: // apolloLog.info({ endpoint: '/mixed_people/api_search', results: 25 }, 'Search completed'); // apolloLog.warn({ endpoint: '/people/match', status: 429 }, 'Rate limited'); // apolloLog.error({ err, endpoint: '/contacts' }, 'Request failed'); ``` ### Step 4: OpenTelemetry Tracing ```typescript // src/observability/tracing.ts import { trace, SpanStatusCode } from '@opentelemetry/api'; import { AxiosInstance } from 'axios'; const tracer = trace.getTracer('apollo-integration'); export function addTracing(client: AxiosInstance) { client.interceptors.request.use((config) => { const span = tracer.startSpan(`apollo.${config.method?.toUpperCase()} ${config.url}`); span.setAttribute('apollo.endpoint', config.url ?? ''); (config as any)._span = span; return config; }); client.interceptors.response.use( (response) => { const span = (response.config as any)._span; if (span) { span.setAttribute('http.status_code', response.status); span.setAttribute('apollo.rate_limit_remaining', response.headers['x-rate-limit-remaining'] ?? 'unknown'); span.setStatus({ code: SpanStatusCode.OK }); span.end(); } return response; }, (err) => { const span = (err.config as any)?._span; if (span) { span.setAttribute('http.status_code', err.response?.status ?? 0); span.setStatus({ code: SpanStatusCode.ERROR, message: err.message }); span.end(); } return Promise.reject(err); }, ); } ```
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-observability.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 Observability 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 Observability 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 Observability access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Apollo Observability 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.