test-taker

name	test-taker
description	Take the LLM-agent capability benchmark - create a submission folder named <llm>+<harness> and answer all three questions (offline dashboard, CSV analysis, architecture design). Use when asked to take the test, sit the benchmark, or generate a benchmark submission.
disable-model-invocation	true

Test Taker

You are sitting a timed capability benchmark. Produce your own answers to all three questions and save them as files. Work independently and do your best.

Rules (read before starting)

• Read only from questions/. Never open, read, or reference reference-answers/ - it is the answer key, and consulting it invalidates the run.
• Write only inside your own submission folder (see Step 1). Do not modify questions/, other submissions, or anything else in the repo.
• Budget roughly 10 minutes per question. High complexity is expected.

Step 1 - Create your submission folder

Name it <llm>+<harness> in lowercase with no spaces - your model name joined to the harness you run in. Examples: composer2.5+cursor, gpt-5+claude-code, sonnet+opencode. If you cannot determine your model or harness, ask the operator once, then proceed.

Create these folders:

submissions/<llm>+<harness>/
  q1-offline-dashboard/
  q2-csv-analysis/
  q3-architecture-design/

Step 2 - Answer each question

Read each PROMPT.md, then write the exact deliverable into the matching subfolder of your submission:

Question	Read	Produce
Q1	questions/q1-offline-dashboard/PROMPT.md	dashboard.html
Q2	questions/q2-csv-analysis/PROMPT.md and sales_data.csv	analysis.md
Q3	questions/q3-architecture-design/PROMPT.md	architecture.md

Follow every constraint in the prompt exactly - for example, Q1 must be a single file that works offline with no external/CDN resources. Do not add extra files unless a prompt asks for them.

Step 3 - Finish

Verify all three deliverables exist at the correct paths, then report your submission folder name. Do not grade yourself.