Atlas / Skills / jeremylongshore / Juicebox Observability

Juicebox ObservabilitySAFE

skills/jeremylongshore/juicebox-observability

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.16.0
Hosts
1 documented
License
MIT
Stars
2,824
01

Overview

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Read from source at commit 4f83675ca38aOBSERVED · 2026-10-09
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

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: juicebox-observability
description: 'Set up Juicebox monitoring.

  Trigger: "juicebox monitoring", "juicebox metrics".

  '
allowed-tools: Read, Write, Edit, Grep
version: 1.16.0
license: MIT
author: Jeremy Longshore <[email protected]>
tags:
- saas
- recruiting
- juicebox
compatibility: Designed for Claude Code
---
# Juicebox Observability

## Overview

Juicebox provides AI-powered people search and analysis where query performance, dataset ingestion rates, and quota consumption are the primary observability concerns. Monitor analysis completion times to ensure interactive UX, track ingestion pipeline health for data freshness, and watch quota usage to prevent mid-workflow cutoffs. Slow queries or failed ingestions degrade recruiter productivity and data accuracy.

## Key Metrics

| Metric | Type | Target | Alert Threshold |
|--------|------|--------|-----------------|
| Search latency p95 | Histogram | < 2s | > 5s |
| Analysis completion time | Histogram | < 10s | > 30s |
| Dataset ingestion rate | Gauge | > 100 records/s | < 50 records/s |
| API error rate | Gauge | < 1% | > 5% |
| Quota usage (daily) | Gauge | < 70% | > 85% |
| Query result relevance | Gauge | > 80% precision | < 60% |

## Instrumentation

```typescript
async function trackJuiceboxCall(operation: string, fn: () => Promise<any>) {
  const start = Date.now();
  try {
    const result = await fn();
    metrics.histogram('juicebox.api.latency', Date.now() - start, { operation });
    metrics.increment('juicebox.api.calls', { operation, status: 'ok' });
    return result;
  } catch (err) {
    metrics.increment('juicebox.api.errors', { operation, error: err.code });
    throw err;
  }
}
```

## Health Check Dashboard

```typescript
async function juiceboxHealth(): Promise<Record<string, string>> {
  const searchP95 = await metrics.query('juicebox.api.latency', 'p95', '5m');
  const errorRate = await metrics.query('juicebox.api.error_rate', 'avg', '5m');
  const quota = await juiceboxAdmin.getQuotaUsage();
  return {
    search_latency: searchP95 < 2000 ? 'healthy' : 'slow',
    error_rate: errorRate < 0.01 ? 'healthy' : 'degraded',
    quota: quota.pct < 0.7 ? 'healthy' : 'at_risk',
  };
}
```

## Alerting Rules

```typescript
const alerts = [
  { metric: 'juicebox.search.latency_p95', condition: '> 5s', window: '10m', severity: 'warning' },
  { metric: 'juicebox.api.error_rate', condition: '> 0.05', window: '5m', severity: 'critical' },
  { metric: 'juicebox.quota.daily_pct', condition: '> 0.85', window: '1h', severity: 'warning' },
  { metric: 'juicebox.ingestion.rate', condition: '< 50/s', window: '15m', severity: 'critical' },
];
```

## Structured Logging

```typescript
function logJuiceboxEvent(event: string, data: Record<string, any>) {
  console.log(JSON.stringify({
    service: 'juicebox', event,
    operation: data.operation, duration_ms: data.latency,
    result_count: data.resultCount, query_length: data.queryLen,
    // Redact candidate PII — log only aggregate counts
    timestamp: new Date().toISOString(),
  }));
}
```

## Error Handling

| Signal | Meaning | Action |
|--------|---------|--------|
| 429 rate limit | Quota exhausted for period | Pause queries, check daily allocation |
| Search timeout > 5s | Complex query or service load | Simplify filters, retry with narrower scope |
| Ingestion stall | Dataset too large or format error | Check upload logs, validate schema |
| Empty result set | Index gap or query mismatch | Verify dataset freshness, adjust search params |

## Prerequisites

- An approved telemetry schema, sandbox synthetic fixture, redaction policy, source/destination allowlists, suppression controls, retention window, and an owner for alert response.

## Instructions

1. Instrument aggregate operational signals only; reject raw queries, contact fields, enrichment values, credentials, and unapproved exports.
2. Validate a sandbox canary, confirm suppression, retention, redaction, and `contacts_exported=0`, then compare it with the approved baseline.
3. Pause ingestion or downstream delivery on scope, policy, quota, or retention drift and return to the last approved configuration.
4. Keep only redacted aggregate evidence and delete test telemetry after its approved window.

## Output

Produce an observability receipt with environment, event classes, aggregate volume/error/latency signals, redaction/suppression/no-export outcomes, alert owner, retention/deletion proof, and rollback reference.

## Examples

`env=ci-synthetic; events=aggregate-only; latency_p95=within-baseline; suppression=pass; contacts_exported=0; retention=24h; cleanup=verified` is a valid canary record.

## Resources

- Juicebox Dashboard

## Next Steps

See `juicebox-incident-runbook`.
04

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.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (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.

Audited 2026-10-09 · audit v0.4.1 · source sha 4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__juicebox-observability.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-094f83675ca38aSAFEB89first audit
06

Questions

What does the Juicebox 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 Juicebox 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 Juicebox Observability access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Juicebox 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 2026-10-09. The repository is watched, and a new audit runs when it changes — this is the first audit.

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