Atlas / Skills / jeremylongshore / Juicebox Hello World

Juicebox Hello WorldSAFE

skills/jeremylongshore/juicebox-hello-world

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-hello-world
description: 'Create a minimal Juicebox people search example.

  Trigger: "juicebox hello world", "first people search", "test juicebox".

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

## Overview

Three examples: natural language people search, profile enrichment, and contact data from 800M+ profiles.

## Instructions

### Example 1: Natural Language Search

```typescript
import { JuiceboxClient } from '@juicebox/sdk';
const client = new JuiceboxClient({ apiKey: process.env.JUICEBOX_API_KEY });

const results = await client.search({
  query: 'senior ML engineer at FAANG with PhD in Bay Area',
  limit: 10,
  filters: { experience_years: { min: 5 } }
});
results.profiles.forEach(p =>
  console.log(`${p.name} | ${p.title} at ${p.company} | ${p.location}`)
);
```

### Example 2: Profile Enrichment

```typescript
const enriched = await client.enrich({
  linkedin_url: 'https://linkedin.com/in/example',
  fields: ['skills', 'experience', 'education', 'contact']
});
console.log(`Skills: ${enriched.skills.join(', ')}`);
if (enriched.tech_profile?.github) {
  console.log(`GitHub: ${enriched.tech_profile.github.repos} repos`);
}
```

### Example 3: Contact Data (Python)

```python
results = client.search(query='PM fintech NYC', limit=5, include_contact=True)
for p in results.profiles:
    email = p.contact.email if p.contact else 'N/A'
    print(f"{p.name} | {p.title} | {email}")
```

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| Empty results | Query too narrow | Broaden terms or remove filters |
| Partial contact | Limited coverage | Not all profiles have contact data |

## Prerequisites

- A sandbox workspace, synthetic prospects, documented source authority, approved destination, suppression policy, and deletion path for test artifacts.

## Output

Return an onboarding receipt with workspace, source-authority result, input/accepted/quarantined counts, suppression result, destination, export-count assertion, retention date, and cleanup state. Do not include names, contact details, enrichment values, or credentials.

## Examples

Run a synthetic prospect fixture and record `workspace=hello-sandbox; source=approved; accepted=2; quarantined=0; suppression=pass; contacts_exported=0; cleanup=complete`.

## Resources

- [Search API](https://docs.juicebox.work/api/search)
- [PeopleGPT](https://juicebox.ai/peoplegpt)

## Next Steps

Explore `juicebox-sdk-patterns` for production code.
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-hello-world.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 Hello World 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 Hello World 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 Hello World access on my machine?

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

Which assistants does Juicebox Hello World 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.

Advertisement