Atlas / Skills / jeremylongshore / Juicebox Cost Tuning

Juicebox Cost TuningSAFE

skills/jeremylongshore/juicebox-cost-tuning

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-cost-tuning
description: 'Optimize Juicebox costs.

  Trigger: "juicebox cost", "juicebox billing", "juicebox budget".

  '
allowed-tools: Read, Write, Edit, Grep
version: 1.16.0
license: MIT
author: Jeremy Longshore <[email protected]>
tags:
- saas
- recruiting
- juicebox
compatibility: Designed for Claude Code
---
# Juicebox Cost Tuning

## Cost Factors

| Feature | Cost Driver |
|---------|-------------|
| Search | Per query |
| Enrichment | Per profile |
| Contact data | Per lookup |
| Outreach | Per message |

## Reduction Strategies

1. Cache search results (avoid duplicate queries)
2. Use filters (fewer wasted enrichments)
3. Only enrich top-scored candidates
4. Only get contacts for final candidates

## Quota Monitoring

```typescript
const quota = await client.account.getQuota();
console.log(`Searches: ${quota.searches.used}/${quota.searches.limit}`);
if (quota.searches.used > quota.searches.limit * 0.8) console.warn('80% quota used');
```

## Overview

Use cost controls as a safety boundary: validate them first in a sandbox, reduce unnecessary processing, and never treat cost optimization as permission to expand data or outreach scope.

## Prerequisites

- An approved budget, synthetic sandbox fixture, source/destination allowlists, suppression controls, current quota baseline, and a rollback owner.

## Instructions

1. Measure cache and batching changes with synthetic inputs and aggregate counters only; reject unapproved sources, destinations, or contact exports.
2. Compare each canary to the approved quota baseline, verify suppression and `contacts_exported=0`, and stop on material scope or policy drift.
3. Promote cost settings only after owner approval; restore the prior configuration and cancel queued work on failure.
4. Retain a redacted summary and delete test artifacts at the end of the approved window.

## Output

Record a cost-control receipt with environment, baseline and aggregate usage, cache/batch setting, suppression/no-export results, owner approval, rollback action, and retention/deletion proof. Exclude query text, contacts, and credentials.

## Error Handling

| Condition | Response |
|---|---|
| Budget or quota anomaly | Pause the canary, cancel queued work, and restore the approved configuration. |
| Source, destination, or suppression drift | Reject the run and investigate with redacted aggregate telemetry only. |

## Examples

`env=staging; fixture=synthetic; cache=enabled; usage_delta=-18%; suppression=pass; contacts_exported=0; rollback=available` supports an approval decision.

## Resources

- [Pricing](https://juicebox.ai/pricing)

## Next Steps

See `juicebox-reference-architecture`.
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-cost-tuning.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 Cost Tuning 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 Cost Tuning 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 Cost Tuning access on my machine?

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

Which assistants does Juicebox Cost Tuning 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.

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