Juicebox Hello WorldSAFE
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 · 2026-10-09Host 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: 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.
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__juicebox-hello-world.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-09 | 4f83675ca38a | SAFE | B | 89 | first audit |
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.