Juicebox Prod Checklist

What it does

When your agent uses it

• Backend & APIs work in your project

Example prompts

• “juicebox production”
• “deploy juicebox”
• “/juicebox-prod-checklist”

Requirements

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

Workflow steps

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

1. 1Confirm environment, secret reference, source authority, enrichment scope, destination, suppression policy, and approval before any…
2. 2Run a bounded synthetic canary and verify source/destination scope, data minimization, suppression, and aggregate output assertions.
3. 3Monitor error, quota, freshness, and policy probes through the observation window; halt on an unauthorized source, recipient, or…
4. 4Promote in stages or restore the prior revision and delete staged artifacts according to the retention policy.
5. 5Close only after owner acceptance of the redacted receipt and revocation of temporary access.

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
  • Bash(curl:*)
  • 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).

  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:

  • juicebox.ai

  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 Prod Checklist loads about 1.4k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 28 tokens; SKILL.md has 456 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~28

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

~2.8k

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

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). 456 words, ~1,429 tokens.

name

juicebox-prod-checklist

description

Execute Juicebox production checklist. Trigger: "juicebox production", "deploy juicebox".

allowed-tools

Read, Bash(curl:*), Grep

compatibility

Designed for Claude Code

version

1.16.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, recruiting, juicebox

async function checkJuiceboxReadiness(): Promise<void> {
  const checks: { name: string; pass: boolean; detail: string }[] = [];
  // API connectivity
  try {
    const res = await fetch('https://api.juicebox.ai/v1/search', {
      method: 'POST',
      headers: { Authorization: `Bearer ${process.env.JUICEBOX_API_KEY}`, 'Content-Type': 'application/json' },
      body: JSON.stringify({ query: 'test', limit: 1 }),
    });
    checks.push({ name: 'Juicebox API', pass: res.ok, detail: res.ok ? 'Connected' : `HTTP ${res.status}` });
  } catch (e: any) { checks.push({ name: 'Juicebox API', pass: false, detail: e.message }); }
  // Credentials present
  checks.push({ name: 'API Key Set', pass: !!process.env.JUICEBOX_API_KEY, detail: process.env.JUICEBOX_API_KEY ? 'Present' : 'MISSING' });
  // Quota check
  try {
    const res = await fetch('https://api.juicebox.ai/v1/usage', {
      headers: { Authorization: `Bearer ${process.env.JUICEBOX_API_KEY}` },
    });
    const data = await res.json();
    const pct = data?.usagePercent || 0;
    checks.push({ name: 'Quota Headroom', pass: pct < 80, detail: `${pct}% used` });
  } catch (e: any) { checks.push({ name: 'Quota Headroom', pass: false, detail: e.message }); }
  for (const c of checks) console.log(`[${c.pass ? 'PASS' : 'FAIL'}] ${c.name}: ${c.detail}`);
}
checkJuiceboxReadiness();

© 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 2 other files (references) in skills/.curated/juicebox-prod-checklist of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287