PromptLeet
The AI skills benchmark

Prove you can work with AI. In production.

Scored challenges that test token efficiency, security hygiene, output evaluation, and agent design — the skills that have real dollar consequences when done wrong.

Practice and get certified. Companies use PromptLeet to screen candidates for AI-era roles — engineering, marketing, ops, and beyond.

5 competency areasAny languageFree to start

Score breakdown

shopflow-add-discount

Context & Cost · medium

9.2
/ 10
File path precisionexact file named100
Token efficiency312 / 330 ideal94
Task accuracytests passed96
Prompt structure88
Security scanno leaks100
File path precision: 100 — exact path named in prompt. AI went straight to prisma/schema.prisma using 312 tokens instead of 1,547.
evaluated by claude-sonnet-4-6 · real test pass rate

Why it matters

Vague AI instructions are expensive.

The same task. Two prompts. 5× difference in token cost — and that scales with every API call in production.

Vague prompt1,547 tokens
"Add a discount_percentage column to the products table"

AI searches src/types/product.ts, src/lib/db.ts, src/app/api/products/route.ts, product-form.tsx before finding the schema file.

Precise prompt312 tokens
"In prisma/schema.prisma, add discountPercentage Decimal? @default(0) to Product"

AI goes directly to prisma/schema.prisma. Zero unnecessary file reads. Done in one shot.

What we test

Five competency areas. All with real stakes.

Every scored dimension maps to something that costs money, creates liability, or ships broken software when done wrong.

Context & Cost

token efficiency

Name the exact file in a 100-file codebase and the AI uses 5× fewer tokens. Vague instructions burn budget on every API call.

Security & Safety

credential hygiene

One leaked API key in a prompt is a security incident. Challenges test whether candidates know what to keep out of the AI context.

Output Evaluation

AI judgment

AI output isn't always right. Can the candidate spot the SQL query that silently corrupts data? The generated test that never fails?

Agent & Tool Design

system prompts

Writing the system prompt that goes into production. Defining tools so the AI picks the right one. Defending against prompt injection.

AI-Assisted Development

real execution

Build real features in real codebases — Python, Go, Rust, any language. Scored on correctness (tests pass) and what it cost in tokens.

For companies

Screen candidates for AI-era roles, in any department.

Send candidates a magic link. They complete a curated set of challenges. You get a ranked scorecard backed by real test results — not an AI's opinion.

Credible scores

Not vibes. Measurements.

Scores you can show a hiring manager and explain in one sentence.

Token efficiency

Actual tokens used vs the ideal for that task. Scales with real API cost.

What you can say

"Candidate A costs your team 4× more per AI task than Candidate B."

Security scan

Automated regex + pattern matching on every prompt and response.

What you can say

"This candidate exposed credentials in 2 of 5 challenges."

Task accuracy

Real test suite pass rate for code challenges. No AI judge for pass/fail.

What you can say

"Tests pass or they don't. There's no partial credit for broken code."

Start proving it today.

Three free challenges, no credit card. See exactly how you score on token efficiency, security, and output evaluation before committing to anything.