Agent skill

Juicebox Observability

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

Set up Juicebox monitoring. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedDevOps & Cloud

Install Juicebox Observability

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace juicebox-observability --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-observability .claude/skills/juicebox-observability && 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-observability
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
303 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Set up Juicebox monitoring. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 4 steps: Instrument aggregate operational signals… → Validate a sandbox canary, confirm… → Pause ingestion or downstream delivery… → …
  • Tasks that involve Observability
  • SKILL.md covers Overview, Key Metrics, Instrumentation and Health Check Dashboard, plus 9 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Juicebox Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Set up Juicebox monitoring. Trigger: "juicebox monitoring", "juicebox metrics".

Its SKILL.md is about 1.2k 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 Observability. 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 Observability

Example prompts

  • “juicebox monitoring”
  • “juicebox metrics”
  • “/juicebox-observability”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep

Workflow steps

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

  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.

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
    • 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

    No URLs in SKILL.md.

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    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 Observability loads about 1.2k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 26 tokens; SKILL.md has 303 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
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

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). 303 words, ~1,190 tokens.

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

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

MetricTypeTargetAlert Threshold
Search latency p95Histogram< 2s> 5s
Analysis completion timeHistogram< 10s> 30s
Dataset ingestion rateGauge> 100 records/s< 50 records/s
API error rateGauge< 1%> 5%
Quota usage (daily)Gauge< 70%> 85%
Query result relevanceGauge> 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

SignalMeaningAction
429 rate limitQuota exhausted for periodPause queries, check daily allocation
Search timeout > 5sComplex query or service loadSimplify filters, retry with narrower scope
Ingestion stallDataset too large or format errorCheck upload logs, validate schema
Empty result setIndex gap or query mismatchVerify 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.

© 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-observability of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Juicebox Observability 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 Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Juicebox Observability this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
Kubeshark KFL2 Filter Referencekubeshark/kubeshark12k—~3.6kAutomated safety check: PassApache-2.0
KubeSphere ServiceMesh Managerkubesphere/kubesphere17k—~2.4kAutomated safety check: PassCustom licence
Kubernetes Network Root Cause Analysiskubeshark/kubeshark12k—~5.3kAutomated safety check: PassApache-2.0

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Categories

Questions about Juicebox Observability

What does Juicebox Observability do?

Set up Juicebox monitoring. An agent skill from jeremylongshore/tons-of-skills-marketplace. Juicebox Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Set up Juicebox monitoring.

When should I use Juicebox Observability?

Juicebox Observability fits situations like: tasks that involve Observability.

How do I install Juicebox Observability in Claude Code?

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

How do I install Juicebox Observability in Codex?

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

Can I use Juicebox Observability 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-observability -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-observability, .gemini/skills/juicebox-observability, .github/skills/juicebox-observability and .opencode/skills/juicebox-observability in your project.

What does Juicebox Observability need to run?

SKILL.md names no scripts, command-line tools or credentials: Juicebox Observability is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Juicebox Observability access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Juicebox Observability 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 Observability use?

Juicebox Observability 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 Observability use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Juicebox Observability?

Skills that share tags, products or a category with Juicebox Observability: Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars), Kubeshark Installer (kubeshark/kubeshark, 12k stars), Kubeshark KFL2 Filter Reference (kubeshark/kubeshark, 12k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Juicebox Observability?

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.