Agent skill

Juicebox CI Integration

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Configure Juicebox CI/CD. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedDevOps & Cloud

Install Juicebox CI Integration

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill juicebox-ci-integration -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace juicebox-ci-integration --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/juicebox-ci-integration .claude/skills/juicebox-ci-integration && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
juicebox-ci-integration
GitHub stars
2.8k
Token cost
~1.4k tokens
SKILL.md length
282 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Configure Juicebox CI/CD. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 4 steps: Run mocked tests first, including… → Run a bounded sandbox integration with… → Emit aggregate counts, opaque IDs, and… → …
  • Tasks that involve CI/CD
  • SKILL.md covers Overview, GitHub Actions Workflow, Mock-Based Unit Tests and Integration Tests, plus 7 more sections
  • Reaches api.juicebox.ai; needs JUICEBOX_API_KEY

What it does

Juicebox CI Integration is an agent skill from jeremylongshore/tons-of-skills-marketplace. Configure Juicebox CI/CD. Trigger: "juicebox ci", "juicebox pipeline".

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation-guide.md`). Compatibility notes: Designed for Claude Code

It sits in DevOps & Cloud, covering CI/CD. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Tasks that involve CI/CD

Example prompts

  • “juicebox ci”
  • “juicebox pipeline”
  • “/juicebox-ci-integration”

Requirements

  • A credential in JUICEBOX_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(npm:*), Grep

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Run mocked tests first, including unknown source, denied scope, suppression, malformed enrichment, quota, and export-block cases.
  2. Run a bounded sandbox integration with idempotency; prohibit production sources/destinations and literal credentials in CI.
  3. Emit aggregate counts, opaque IDs, and policy revisions only; fail for unapproved source, expanded scope, contact-data leakage, or export…
  4. Canary after protected review, verify contacts_exported=0, and restore the last-known-good revision on failure.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(npm:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript and yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.juicebox.ai

    Also links to:

    • docs.github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • JUICEBOX_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Juicebox CI Integration loads about 1.4k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 24 tokens; SKILL.md has 282 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 282 words, ~1,355 tokens.

Download SKILL.mdSave it as .claude/skills/juicebox-ci-integration/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
juicebox-ci-integration
description
Configure Juicebox CI/CD. Trigger: "juicebox ci", "juicebox pipeline".
allowed-tools
Read, Write, Edit, Bash(npm:*), Grep
compatibility
Designed for Claude Code
version
1.16.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, recruiting, juicebox

Juicebox CI Integration

Overview

Set up CI/CD for Juicebox AI data analysis integrations: run unit tests with mocked dataset and analysis responses on every PR, validate live API connectivity for data queries on merge to main. Juicebox provides AI-powered data exploration and visualization, so CI pipelines verify dataset upload logic, analysis execution, and result parsing workflows.

GitHub Actions Workflow

yaml
# .github/workflows/juicebox-ci.yml
name: Juicebox CI
on:
  pull_request:
    paths: ['src/juicebox/**', 'tests/**']
  push:
    branches: [main]

jobs:
  unit-tests:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: '20' }
      - run: npm ci
      - run: npm test -- --reporter=verbose

  integration-tests:
    if: github.ref == 'refs/heads/main'
    needs: unit-tests
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: '20' }
      - run: npm ci
      - run: npm run test:integration
        env:
          JUICEBOX_API_KEY: ${{ secrets.JUICEBOX_API_KEY }}

Mock-Based Unit Tests

typescript
// tests/juicebox-service.test.ts
import { describe, it, expect, vi } from 'vitest';
import { analyzeDataset, getAnalysisResults } from '../src/juicebox-service';

vi.mock('../src/juicebox-client', () => ({
  JuiceboxClient: vi.fn().mockImplementation(() => ({
    createAnalysis: vi.fn().mockResolvedValue({
      analysisId: 'ana_abc123',
      status: 'processing',
      datasetId: 'ds_xyz',
    }),
    getAnalysis: vi.fn().mockResolvedValue({
      analysisId: 'ana_abc123',
      status: 'completed',
      results: {
        summary: 'Revenue increased 15% QoQ',
        charts: [{ type: 'bar', title: 'Revenue by Quarter' }],
        insights: ['Q4 drove majority of growth', 'APAC region outperformed'],
      },
    }),
    listDatasets: vi.fn().mockResolvedValue({
      datasets: [{ id: 'ds_xyz', name: 'Sales Data', rowCount: 50000 }],
    }),
  })),
}));

describe('Juicebox Service', () => {
  it('creates an analysis from dataset', async () => {
    const result = await analyzeDataset('ds_xyz', 'What drove revenue growth?');
    expect(result.analysisId).toBe('ana_abc123');
    expect(result.status).toBe('processing');
  });

  it('retrieves completed analysis with insights', async () => {
    const results = await getAnalysisResults('ana_abc123');
    expect(results.status).toBe('completed');
    expect(results.results.insights).toHaveLength(2);
  });
});

Integration Tests

typescript
// tests/integration/juicebox.integration.test.ts
import { describe, it, expect } from 'vitest';

const hasKey = !!process.env.JUICEBOX_API_KEY;

describe.skipIf(!hasKey)('Juicebox Live API', () => {
  it('lists available datasets', async () => {
    const res = await fetch('https://api.juicebox.ai/v1/datasets', {
      headers: { Authorization: `Bearer ${process.env.JUICEBOX_API_KEY}` },
    });
    expect(res.status).toBe(200);
    const body = await res.json();
    expect(body).toHaveProperty('datasets');
  });
});

Error Handling

CI IssueCauseFix
401 UnauthorizedInvalid API keyRegenerate at juicebox.ai account settings
Analysis stuck on processingLarge dataset or complex queryIncrease polling timeout to 120s
Dataset not found (404)Dataset ID changed or deletedUse listDatasets to get a valid ID dynamically
Rate limit (429)Too many concurrent analysesQueue analyses and limit to 2 parallel runs
Empty insights arrayInsufficient data for AI analysisEnsure test dataset has 100+ rows with varied data

Prerequisites

  • CI secret references, a sandbox workspace, synthetic prospects, protected branches, source-authority checks, and a rollback mechanism.

Instructions

  1. Run mocked tests first, including unknown source, denied scope, suppression, malformed enrichment, quota, and export-block cases.
  2. Run a bounded sandbox integration with idempotency; prohibit production sources/destinations and literal credentials in CI.
  3. Emit aggregate counts, opaque IDs, and policy revisions only; fail for unapproved source, expanded scope, contact-data leakage, or export path.
  4. Canary after protected review, verify contacts_exported=0, and restore the last-known-good revision on failure.

Output

Publish a CI receipt with commit SHA, fixture revision, sandbox workspace, test totals, source/destination/suppression checks, export-count assertion, canary outcome, and rollback reference. Exclude contacts, enrichment fields, and secrets.

Examples

sha=abc123; fixtures=v5; workspace=ci-synthetic; tests=18/18; source=approved; suppression=pass; contacts_exported=0; canary=not-promoted is a valid pre-production receipt.

Resources

Next Steps

See juicebox-deploy-integration.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/juicebox-ci-integration of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation-guide.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Juicebox CI Integration next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Juicebox CI Integration compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Juicebox CI Integration this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.4kAutomated safety check: PassMIT
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CI Failure Triage and RepairChachamaru127/claude-code-harness3.2k1 repos~1.1kAutomated safety check: NotesMIT
CI Watchdoglatitude-dev/latitude-llm4.7k—~1.6kAutomated safety check: PassMIT
Megatron-LM CI Failure TriageNVIDIA/Megatron-LM18k—~1.6kAutomated safety check: PassApache-2.0
CI CD And Automationdzhalaevd/Donatello1357 repos~2.7kAutomated safety check: NotesApache-2.0

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Questions about Juicebox CI Integration

What does Juicebox CI Integration do?

Configure Juicebox CI/CD. An agent skill from jeremylongshore/tons-of-skills-marketplace. Juicebox CI Integration is an agent skill from jeremylongshore/tons-of-skills-marketplace. Configure Juicebox CI/CD.

When should I use Juicebox CI Integration?

Juicebox CI Integration fits situations like: tasks that involve CI/CD.

How do I install Juicebox CI Integration in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill juicebox-ci-integration -a claude-code`. Or copy the skill folder (skills/.curated/juicebox-ci-integration in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/juicebox-ci-integration in your project. Claude Code loads it when a task matches its description.

How do I install Juicebox CI Integration in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill juicebox-ci-integration -a codex`. Or copy the skill folder (skills/.curated/juicebox-ci-integration in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/juicebox-ci-integration in your project. Codex loads it when a task matches its description.

Can I use Juicebox CI Integration in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill juicebox-ci-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/juicebox-ci-integration, .gemini/skills/juicebox-ci-integration, .github/skills/juicebox-ci-integration and .opencode/skills/juicebox-ci-integration in your project.

What does Juicebox CI Integration need to run?

Going by SKILL.md and its folder, Juicebox CI Integration needs credentials named JUICEBOX_API_KEY. Our summary lists: A credential in JUICEBOX_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Juicebox CI Integration access the network?

SKILL.md names 2 domains. In commands or code: api.juicebox.ai; the agent is likely to contact it when it follows the instructions. As links in the text: docs.github.com. This is read from the text; nothing was executed.

Is Juicebox CI Integration safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Juicebox CI Integration use?

Juicebox CI Integration is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Juicebox CI Integration use?

About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 778 tokens, read only when the agent opens those files.

What are the alternatives to Juicebox CI Integration?

Skills that share tags, products or a category with Juicebox CI Integration: Azure Pipelines Log Downloader (ansible/ansible, 71k stars), CI Failure Triage and Repair (Chachamaru127/claude-code-harness, 3.2k stars), CI Watchdog (latitude-dev/latitude-llm, 4.7k stars) and Megatron-LM CI Failure Triage (NVIDIA/Megatron-LM, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Juicebox CI Integration?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.