review-efficiency

review-efficiency is a skill for Claude Code, Codex from dhaupin/vant. It costs 8 tokens per session (543 once invoked), scanned A, original, MIT.

A checklist for checking how much money, time, computing power, memory, network traffic, storage, and external API usage a program consumes.

In plain words
What is it for?
Use it to review CPU and memory use, count network and API calls, assess storage patterns, and suggest batching, compression, caching, deduplication, or expiry.
Why use it?
It reveals waste such as repeated calls, oversized data, unnecessary storage, slow loops, or missing caching.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to review CPU and memory use, count network and API calls, assess storage patterns, and suggest batching, compression, caching, deduplication, or expiry.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dhaupin/vant/vant-skill-review-efficiency
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dhaupin/vant --skill vant-skill-review-efficiency
Clone the repo
git clone --depth 1 https://github.com/dhaupin/vant

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for review-efficiency

README.md
[![agentmods](https://agentmods.dev/badge/skills/dhaupin/vant/vant-skill-review-efficiency.svg)](https://agentmods.dev/skills/dhaupin/vant/vant-skill-review-efficiency)
Your own site
<a href="https://agentmods.dev/skills/dhaupin/vant/vant-skill-review-efficiency"><img src="https://agentmods.dev/badge/skills/dhaupin/vant/vant-skill-review-efficiency.svg" alt="Measured on agentmods" height="20"></a>
Per session 8 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 543 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00008 $0.00543
Opus 5 $0.00004 $0.00271
Sonnet 5 $0.00002 $0.00109
Haiku 4.5 $0.00001 $0.00054

Measured 7d ago against content hash a65d459aafcb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

review-efficiency scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl api.com // $$
models/public/skills/vant-skill-review-efficiency/SKILL.md · 130 lines

What it actually says

Efficiency Review

Is this efficient?


The Question

What does it cost to run?

Money. Time. Resources.


What To Check

1. Compute

// What's the cost?
// CPU time per request
// Memory per request
Resource High Fix
CPU Loop complex Optimize
Memory Store all Stream
GPU N/A N/A

2. Network

// How many calls?
callAPI()  // 1
callAPI()  // 2
Pattern Issue Fix
Multiple calls Round trips Batch
Large payloads Bandwidth Compress
No compression Raw gzip

3. Storage

// What are we storing?
db.save(everything)
// vs
db.save(needed)
Pattern Issue Fix
Save all Extra storage Save needed
Keep forever bloat TTL/expiry
No index Slow reads Index

4. API Calls

# External APIs cost
curl api.com  // $$
curl api.com  // $$
Check Issue Fix
No cache Pay each time Cache
Same call twice Redundant Dedup
No batching N calls Batch

Cost Estimate

// Estimate: (calls × cost) + (compute × cost) + (storage × cost)
Item Calculation
API calls calls × $0.001
Compute hours × $0.05
Storage GB × $0.02

Output

## Efficiency - [system]

### Compute
- [ESTIMATE] $[/hr]
- Issue: [pattern]

### Network
- [ESTIMATE] $[/hr]
- Issue: [pattern]

### Storage
- [ESTIMATE] $[/mo]
- Issue: [pattern]

### Total
- Estimated: $[/mo]

### Savings
1. [fix] saves $[/mo]

Role: Efficiency Reviewer
Input: System
Output: Cost?

Efficiency is money.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 130 lines · 8 tokens per session scan A a65d459aafcb

Subscribe to this mod's changes

review-efficiency is a skill published in the GitHub repository dhaupin/vant (9 stars, last pushed 8d ago), licensed MIT. It adds 8 tokens to every session and 543 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

python-run

Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.

congchuanling-dot/Cohort · 56 tokens

rn-debugging

This skill should be used when the user asks to "debug the app", "fix a crash", "diagnose a blank screen", "read error logs", "troubleshoot CDP connection", "check Metro status", "find native crashes", "inspect network failures", "the app crashed", "I see a blank screen", "the screen is white", "something broke", "app…

Lykhoyda/rn-dev-agent · 123 tokens

doctor

Explicit Codex workflow: Run strictly read-only Codex plugin, MCP contract, schema, and environment diagnostics; recommend but never execute recovery.

Lykhoyda/rn-dev-agent · 30 tokens

debug-screen

Explicit Codex workflow: Diagnose why the current screen is broken, showing unexpected content, or crashing. Gathers parallel evidence from all layers and applies a targeted fix.

Lykhoyda/rn-dev-agent · 36 tokens

performance-optimization

Measure-first performance work. Use on triggers like "it's slow", "profile this", "optimize perf", "fix the bottleneck", "improve load time / Core Web Vitals", or when a measured regression needs fixing. Enforces measure-before-optimize. Fills a perf gap not covered by existing project skills. Not a build/ship…

BlackBeltTechnology/pi-agent-dashboard · 77 tokens

ci-troubleshoot

Diagnose failed GitHub Actions runs for pi-agent-dashboard: the 10-file workflow taxonomy, the release pipeline, known failure modes, and how to read gh run logs and retrigger jobs. Use when a CI run is red, a release is stuck, a workflow won't dispatch, or you need to know which workflow does what. See release-cut to…

BlackBeltTechnology/pi-agent-dashboard · 93 tokens